diff --git a/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/.ipynb_checkpoints/逻辑回归-信用卡欺诈检测-checkpoint.ipynb b/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/.ipynb_checkpoints/逻辑回归-信用卡欺诈检测-checkpoint.ipynb index 69cf42c..ec57523 100644 --- a/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/.ipynb_checkpoints/逻辑回归-信用卡欺诈检测-checkpoint.ipynb +++ b/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/.ipynb_checkpoints/逻辑回归-信用卡欺诈检测-checkpoint.ipynb @@ -803,11 +803,11 @@ "-------------------------------------------\n", "Iteration 0 : 召回率 = 0.8493150684931506\n", "Iteration 1 : 召回率 = 0.863013698630137\n", - "Iteration 2 : 召回率 = 0.9152542372881356\n", - "Iteration 3 : 召回率 = 0.9324324324324325\n", - "Iteration 4 : 召回率 = 0.8939393939393939\n", + "Iteration 2 : 召回率 = 0.9322033898305084\n", + "Iteration 3 : 召回率 = 0.9459459459459459\n", + "Iteration 4 : 召回率 = 0.9090909090909091\n", "\n", - "平均召回率 0.89079096615665\n", + "平均召回率 0.8999138023981302\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 1\n", @@ -824,23 +824,23 @@ "正则化惩罚力度: 10\n", "-------------------------------------------\n", "Iteration 0 : 召回率 = 0.863013698630137\n", - "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9661016949152542\n", + "Iteration 1 : 召回率 = 0.8767123287671232\n", + "Iteration 2 : 召回率 = 0.9830508474576272\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", - "Iteration 4 : 召回率 = 0.8939393939393939\n", + "Iteration 4 : 召回率 = 0.9090909090909091\n", "\n", - "平均召回率 0.9118823384669682\n", + "平均召回率 0.9155627459783485\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 100\n", "-------------------------------------------\n", - "Iteration 0 : 召回率 = 0.863013698630137\n", - "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9661016949152542\n", + "Iteration 0 : 召回率 = 0.8767123287671232\n", + "Iteration 1 : 召回率 = 0.8767123287671232\n", + "Iteration 2 : 召回率 = 0.9830508474576272\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 4 : 召回率 = 0.9393939393939394\n", "\n", - "平均召回率 0.9149126414972711\n", + "平均召回率 0.9243630780663519\n", "\n", "***********************************\n", "效果最好的模型所选参数 = 0.01\n", @@ -897,7 +897,7 @@ }, { "data": { - "image/png": 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DM7Pl8l+0Pjcidll1c+oFHAz0A94AfgMMXcmukafTSm09sOPnacPvABMl3ZW+34/kDLqZ2Wqr8XmgfYG/R8ScpG3dBOwOrCepJR1tbgK8Wm0HbY00W8+QTwRur1g/vtrOzMwqtd4RVEPTgN0kdSM5PN8HmADcD3yR5Az6MOCWajto64EdV1TbqJlZVrW8uD0iHpV0I8llRUuAvwCjSAZ+YyT9KF1Xdb61O6cpaUvgfGBbYJ2K4raqtlMzs1a1vmY9Is4Fzl1h9VRgUC3az3LN5VXAlSSfbSgwlmSIa2a2WqTk4vasSyPIEprdIuIugIh4MSLOIXnqkZnZalvjbqMEFimZdHhR0knAK8CG9S3LzDqLsj2wI0tofgvoQXJr0vnAh4AT6lmUmXUeJcvMTA/seDR9+Rb/fBCxmdlqE40zV5lVWxe330wbV81HxOfrUpGZdR4NNFeZVVsjzUs6rIrUjv024JFrvtzR3Vod9dr160WXYDW0aPKMmre5xsxpRsR9HVmImXVOZXvWZJYTQWZmdVGH2yjrzqFpZoUqWWZmD01JXSJiUT2LMbPOJblovVypmeXJ7YMkPQNMTt/vIOkXda/MzDqFJmVfGkGWOdiLgQOAeQAR8TS+jdLMamRNvI2yKSJeXmEIvbRO9ZhZJ5J83UWDpGFGWUJzuqRBQEhqBk4FXqhvWWbWWayJlxydTHKIvhkwC7g3XWdmttpKNtDMdO/5bJLvDTYzqyk10HMys8ry5PbLWck96BExvC4VmVmnUrLMzHR4fm/F63WAQ4Hp9SnHzDoTAS2Nci1RRlkOz2+ofC/pGuCeulVkZp3KmjjSXFE/YPNaF2JmnVADXbSeVZY5zdf555xmEzAfOKOeRZlZ56Gafx9lfbUZmul3A+1A8r1AAMsiYpUPJjYzyyO5uL3oKvJp87rSNCBvjoil6eLANLOaWhPvPX9M0sC6V2JmnZKkzEsjaOs7gloiYgnwKeArkl4E3iYZUUdEOEjNbLWU8fC8rTnNx4CBwCEdVIuZdTYN9PSirNoKTQFExIsdVIuZdUK1vo1S0nrAr4ABJFf+nAA8D9wA9AVeAg6PiNerab+t0PywpNNWtTEiflZNh2ZmrZLvCKp5sxcBf4iIL0paG+gGnAXcFxEjJJ1Bctnk6dU03lZoNgM9oGQXUZlZiYimGkaMpHWBvYDjACLiPeA9SQcDg9PdrgYeoA6hOTMiflBNo2ZmWYiaz2luAcwBrpS0A/AE8A1go4iYCRARMyVtWG0HbQ2MPcI0s/rKcY1mepa9t6QJFcuKT1trITmB/cuI2Inkip+a3sHY1khzn1p2ZGa2MjlPBM2NiF3a2D4DmBERj6bvbyQJzVmSNk5HmRsDs6urto2RZkTMr7ZRM7MsWg/Pa/XFahHxGslX9GydrtoH+BtwKzAsXTcMuKXamqt5ypGZWc3U4cntpwLXpWfOpwLHkwwQx0o6EZgGHFZt4w5NMytUrTMzIp4CVnYIX5MpR4emmRVGrJnfRmlmVh+iYR7EkZVD08wKVa7IdGiaWYEENHukaWaWXcky06FpZkVqnIcLZ+XQNLPC+Oy5mVlOHmmameVQrsh0aJpZkXydpplZdp7TNDPLySNNM7McyhWZDk0zK5DvCDIzy6lkmenQNLMiCZXsAN2haWaF8kjTzCyj5JKjcqWmQ9PMipPxC9MaiUPTzArl0DQzy8EngmyVLrn4Iq4cfTkRwfEnfIVTv/HNokuyDC4792iG7jWAOfPfYpfDfgzA907ZnwP23p5lEcyZ/xbDz72WmXMWsG6PdRj9o2FsunEvWpqbufDX93HNreML/gSNS0BTuTKzdLd9ltbEZ5/lytGX89CfH+OxJ57mzjtuY8rkyUWXZRlc8/vxHPy1ke9b9/Or72PQET9htyNHcOdDz3Lm8KEAfPXwvZg09TU+ccQIPvuVixhx2qGs1dJcRNmloRz/awQOzQ4yadJzDBq0G926daOlpYU999qbW265ueiyLINHnnyR+Qveed+6t95+d/nrbl27EBEABNCjexcAunftwusL3mHJ0mUdVmsZNUmZl0bgw/MOst12Azjve2czb948unbtyh/uvIOBO6/s++ytLM772oEcfcAgFvxjIUOGXwzAZWP+xI0XfpWpd59Pz+7rcOzpo5cHqn2QD88rSBotabakZ+vVR5l8fJtt+PZ3TueAIZ/hoP2HsP32O9DS4v9mldl5I39P/6H/yZg7J3DSEXsB8Jndt+Gvz89gi/3O5hNH/oSfn3EYPbuvU3CljSzPwXljpGs9D8+vAobUsf3SOe6EExn3+JPce/+D9Fp/fT72sf5Fl2Q1MPbOxzlknx0BOPag3bjlj08DMHX6XF56ZR5b992oyPIaW3qdZtalEdQtNCPiQWB+vdovo9mzZwMwbdo0bvndTRx+5FEFV2TV2nKzDy9/vf/e2/PCS7MAmP7a6wwetDUAG67fk636bsTfX5lbSI1loRxLIyj8+FDScGA4wKabbVZwNfV11OFfYP78eazVshYXXjySXr16FV2SZXD1T45jz53703u9Hkz5ww/54WV3MORT29F/8w1ZtiyYNnM+/37+GABGXP4HRn3/GB4fexYSnH3RLcx74+2CP0HjSuY0ax+HkpqBCcArEXGApH7AGGB94Eng2Ih4r6q26zlJLakvcFtEDMiy/8477xKPPDqhbvVYx+u169eLLsFqaNHzY1n2zuyapdw2/7JTXHnz/Zn3/2T/Xk9ERLtnUCWdBuwCrJuG5ljgpogYI+ky4OmI+GU1NfuSIzMrVo2PzyVtAuwP/Cp9L+DTwI3pLlcDh1RbbuGH52bWueU8K95bUuXh6KiIGLXCPhcC3wV6pu83AN6IiCXp+xlAn2pqhTqGpqTrgcEkH3IGcG5EXFGv/sysnHJOac5t6/Bc0gHA7Ih4QtLg1tUr2bXqecm6hWZE+NSwmbWrxqeB9gAOkvQ5YB1gXZKR53qSWtLR5ibAq9V24DlNMyuMSL7CN+vSnog4MyI2iYi+wJHAHyPiaOB+4IvpbsOAW6qt2aFpZsXpuIvbTwdOkzSFZI6z6qlCnwgys0LV66L1iHgAeCB9PRUYVIt2HZpmVqxGudUnI4emmRWocR7EkZVD08wK1SgP4sjKoWlmhWmkB3Fk5dA0s2KVLDUdmmZWKM9pmpnl4DlNM7OsGuiJ7Fk5NM2sUD48NzPLKLn3vOgq8nFomlmhSpaZDk0zK1jJUtOhaWaF8pymmVkOntM0M8uhZJnp0DSzgpUsNR2aZlaY5IEd5UpNh6aZFUfQVK7MdGiaWcEcmmZmWfnJ7WZmufiSIzOzjPzkdjOzvEqWmg5NMyuU5zTNzHLwnKaZWQ4ly0yHppkVqIRfd9FUdAFm1tkpx9JOS9Kmku6X9JykiZK+ka5fX9I9kian//aqtlqHppkVRiS3UWZdMlgCfDsitgF2A74maVvgDOC+iOgP3Je+r4pD08wKJWVf2hMRMyPiyfT1W8BzQB/gYODqdLergUOqrddzmmZWqJyXHPWWNKHi/aiIGLXSdqW+wE7Ao8BGETETkmCVtGF11To0zaxo+U4EzY2IXdptUuoB/Bb4ZkS8qRqebfLhuZkVqnangdL2pLVIAvO6iLgpXT1L0sbp9o2B2dXW69A0s8Lkmc/MMlhUMqS8AnguIn5WselWYFj6ehhwS7U1+/DczApV49so9wCOBZ6R9FS67ixgBDBW0onANOCwajtwaJpZsWqYmRHxcBst7lOLPhyaZlaokt0Q5NA0s2KV7TZKh6aZFUaIppKlps+em5nl4JGmmRWqZANNh6aZFctPbjczy6qEz9N0aJpZYfxtlGZmeZUsNR2aZlYoz2mameXgOU0zsxxKlpkOTTMrVi0fENwRHJpmVhhRvsNzRUTRNSwnaQ7wctF1dIDewNyii7Ca6ix/080j4sO1akzSH0h+d1nNjYghteq/Gg0Vmp2FpAlZvufEysN/087DD+wwM8vBoWlmloNDsxgr/Z5mKzX/TTsJz2mameXgkaaZWQ4OTTOzHByaHUjSEEnPS5oi6Yyi67HVJ2m0pNmSni26FusYDs0OIqkZGAkMBbYFjpK0bbFVWQ1cBRR6sbV1LIdmxxkETImIqRHxHjAGOLjgmmw1RcSDwPyi67CO49DsOH2A6RXvZ6TrzKxEHJodZ2WPJfD1XmYl49DsODOATSvebwK8WlAtZlYlh2bHeRzoL6mfpLWBI4FbC67JzHJyaHaQiFgCfB24C3gOGBsRE4utylaXpOuBccDWkmZIOrHomqy+fBulmVkOHmmameXg0DQzy8GhaWaWg0PTzCwHh6aZWQ4OzTWIpKWSnpL0rKTfSOq2Gm0NlnRb+vqgtp7KJGk9SadU0cd5kr6Tdf0K+1wl6Ys5+urrJxFZLTg01ywLI2LHiBgAvAecVLlRidx/84i4NSJGtLHLekDu0DQrI4fmmush4GPpCOs5SZcCTwKbStpP0jhJT6Yj0h6w/HmfkyQ9DHy+tSFJx0m6JH29kaSbJT2dLrsDI4At01HuBel+/yHpcUl/lfT9irbOTp8pei+wdXsfQtJX0naelvTbFUbP+0p6SNILkg5I92+WdEFF319d3V+kWSWH5hpIUgvJczufSVdtDfw6InYC3gbOAfaNiIHABOA0SesAlwMHAnsCH1lF8xcDf4qIHYCBwETgDODFdJT7H5L2A/qTPA5vR2BnSXtJ2pnk9tGdSEJ51wwf56aI2DXt7zmg8o6bvsDewP7AZelnOBFYEBG7pu1/RVK/DP2YZdJSdAFWU10lPZW+fgi4Avgo8HJEjE/X70byEORHJAGsTXIb4MeBv0fEZABJ1wLDV9LHp4EvA0TEUmCBpF4r7LNfuvwlfd+DJER7AjdHxDtpH1nuvR8g6UckUwA9SG5DbTU2IpYBkyVNTT/DfsD2FfOdH0r7fiFDX2btcmiuWRZGxI6VK9JgfLtyFXBPRBy1wn47UrtH1Qn4SUT87wp9fLOKPq4CDomIpyUdBwyu2LZiW5H2fWpEVIYrkvrm7NdspXx43vmMB/aQ9DEASd0kbQVMAvpJ2jLd76hV/Px9wMnpzzZLWhd4i2QU2eou4ISKudI+kjYEHgQOldRVUk+SqYD29ARmSloLOHqFbYdJakpr3gJ4Pu375HR/JG0lqXuGfswy8Uizk4mIOemI7XpJXdLV50TEC5KGA7dLmgs8DAxYSRPfAEalT/NZCpwcEeMkPZJe0nNnOq+5DTAuHen+AzgmIp6UdAPwFPAyyRRCe/4TeDTd/xneH87PA38CNgJOioh3Jf2KZK7zSSWdzwEOyfbbMWufn3JkZpaDD8/NzHJwaJqZ5eDQNDPLwaFpZpaDQ9PMLAeHpplZDg5NM7Mc/h9XhV9MCpQUbAAAAABJRU5ErkJggg==\n", 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\n", 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" ] @@ -948,13 +948,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "召回率: 0.9251700680272109\n", - "精确率: 0.010045797015807358\n" + "召回率: 0.9183673469387755\n", + "精确率: 0.011378961564396493\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1014,17 +1014,17 @@ "指定的阈值为: 0.1 时,测试集的召回率: 1.00 精确率: 0.497\n", "指定的阈值为: 0.2 时,测试集的召回率: 1.00 精确率: 0.497\n", "指定的阈值为: 0.3 时,测试集的召回率: 1.00 精确率: 0.500\n", - "指定的阈值为: 0.4 时,测试集的召回率: 0.97 精确率: 0.587\n", - "指定的阈值为: 0.5 时,测试集的召回率: 0.94 精确率: 0.817\n", - "指定的阈值为: 0.6 时,测试集的召回率: 0.89 精确率: 0.949\n", - "指定的阈值为: 0.7 时,测试集的召回率: 0.82 精确率: 0.968\n", - "指定的阈值为: 0.8 时,测试集的召回率: 0.78 精确率: 0.991\n", - "指定的阈值为: 0.9 时,测试集的召回率: 0.61 精确率: 0.989\n" + "指定的阈值为: 0.4 时,测试集的召回率: 0.97 精确率: 0.637\n", + "指定的阈值为: 0.5 时,测试集的召回率: 0.94 精确率: 0.896\n", + "指定的阈值为: 0.6 时,测试集的召回率: 0.89 精确率: 0.978\n", + "指定的阈值为: 0.7 时,测试集的召回率: 0.82 精确率: 0.984\n", + "指定的阈值为: 0.8 时,测试集的召回率: 0.77 精确率: 0.991\n", + "指定的阈值为: 0.9 时,测试集的召回率: 0.60 精确率: 1.000\n" ] }, { "data": { - "image/png": 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\n", 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NO5WlTQrPz5b4jXYUMYa/FlRj5pOYd8id+TyMwvMemQ/ef5+XX36RgXt8tdJNKVlLmW/Uvl1rDtprex4c/1LZ2hTFMd7MngEWNpl9JDA6/Hk0cFTG/LstMBHoJCnreehYCxxJgyW9FX7LuDj3O+LVXOWbhPOEpWjfrjUXDT2Eq257dL1lv/nTU3TasAMTx17MWSfsx8tvzWTV6jVla5uUfcol7vBHLWl5h+rLfJLzDrWVd0hm5gE+//xzTj7hGK7/zY1stNFGlW5OSbJlvtFh++7EhJfeLePpqUAex/gukiZnTGfksdnNzWwOQPhn13B+A/BRxnozw3ktiu0qKkn1wK3AQWFDXpD0kJlV7IRoQ0MPZs788u9n1qyZdO/evVLNicTWPTajV0Nnnh83DICGrp2Y8OeL2OeUX/PJgsX88Ip716775qNX8v6sBWVrW0zjDtYJv6Rc4Z8TRyOaSmLeofoyn+S8QyyZT2TeIbmZX7lyJScffwzHn3ASRx71rUo2JRK5Mg9w7CG78UCZT09BXnmfb2YDI9pdcztr/nxdKM7LxPcAZpjZuwCSxhJ866hY+AfuvjszZrzN+++9R/eGBh4YN5ZR9/y5Us2JxLQZs+k1aNja128+eiVfP/kGFixawsYd27N0+ResXLWa04/ei/9MncHiJcvL0zDl1VPQRdLkjNcjzWxk8XtcT9bwRyxxeYfqy3xi8w75ZL6a8g4JzLyZ8aMffp++/frx43PPr1QzIpUt8wAbdWzH3rtty+mXjm5pE/HI7xhfjE8kdQsL+m7A3HD+TKBnxno9gNnZNhRngdPcN4yKngxt1aoVN950C9887BBWr17Nqad9jx123LGSTSrY6GtPY5/d+tClU0dmPH41V494jNEPTmh23X5bb8EdV5/C6tVrePPdjznzyvvK1k7l95ySYqr7yMIfscTlHdKf+bTkHfLKfDXlHRKY+Qn/9xxj7ruHHfvvxNd2/woAV1x1DYcMObSSzSpIIZkHOOKAXRg/8U2WLv+ijK3M+xhfjIeAU4Hrwj//njH/nLCQ/irwWWPvZkviLHDy+oYRnpM7A6DnllvG2JzA4CGHMjhFYW/q1GGjsi7vd9jwtT9PeuU9djryqphb1LKYhnpEFv6IJTLvkO7MpynvEEvmk5p3yCPz5c77Xl/fm89XlHfcVdQKyTzAvQ9P4t6HJ8XYopaVmndJY4D9CXo3ZwLDCbJ+v6ShwIfAseHqjwGHAjOApcDpubYfZ4GT1zeMsIt2JMBuuw0sdxeri0sEd7mMO/wR87zXuhIzn7K8Qx6Zz8z7AM97dYngGG9mJ7awaFAz6xpwdiHbj7PAeQHoI2krYBZwAnBSjPtzCdJ4l8tSxB3+iHnea1ypmU9Z3sEzX9OiOMbHrcUCR1LWa+vM7L85lq+SdA7wBFAP3GVm04pqpUultN29tZTMe94dpCvzfox3pUp63rP14EwjOJ+a+QkaXxuQ84SqmT1G0JXqalDSq/tmlJR5z7tLWeb9GO9KkvS8t1jgmFnPlpY5l4uUvufveOZdKdKWec+7K0Ua8p7XnYwlnSDpkvDnHpJ2i7dZrhqUeifjSvLMu2J43l0tSfoxPmeBI+kW4ADglHDWUmBEnI1y1aG+TlmnpPLMu2J53l0tSfoxPp+rqPYyswGSXgQws4WS2sTcLpdyiu8ul+XgmXcFS3HmPe+uYGnIez4FzkpJdYQ3cJLUGUj3nZRcWSShgi+SZ94VJaWZ97y7oiQ97/mMwbkV+F9gM0lXAv8Bro+1Va4qJP38bBaeeVcUz7urJUk/xufswTGzuyVNAb4RzjrWzF6Lt1ku7QTUJyHhRfDMu2KkNfOed1eMNOQ93zsZ1wMrCbow87ryytU4KfHnZ3PwzLvCpDvznndXmBTkPZ+rqC4FxgDdCZ418mdJw7K/y9U6kfwR9i3xzLti5Mp8UnneXTHScIzPpwfnO8BuZrYUQNI1wBTg2jgb5tIv4cV9Np55V5SUZt7z7oqS9LznU+B80GS9VsC78TTHVQtF8KTZCvLMu4KlOPOed1ewNOQ928M2byQ4H7sUmCbpifD1wQSj7J3Lqi7p5X0TnnlXqjRl3vPuSlVq3iWdB3yfIHevAqcD3YCxwKbAVOAUM/uimO1n68FpHEU/DXg0Y/7EYnbkak/Sw98Mz7wrScoy73l3JSkl75IagJ8AO5jZMkn3AycAhwI3mtlYSSOAocBtxewj28M27yxmg85BMACtlN7LcoS/Kc+8K0XaMu95d6UoNe+hVkB7SSuBDsAc4EDgpHD5aOAKisx7PldRbSNprKRXJE1vnIrZmash4ZNms015aAx/K9YN/1/C5aOBo6JvumfeFSFH5vNU9sx73l1R8jvGd5E0OWM6o/HtZjYL+A3wIUHOPyMY3L7IzFaFq80EGoptYj73OxgF/ImgYBsC3E/QXepcVgrvk9DSRIXDn8UoPPOuCMXmHSqa+VF43l0R8jjGzzezgRnTyIz3bgIcCWxFcIuCDQjy15QV2758rqLqYGZPSPqNmb0DXCbp2WJ36GpD4z0ScphvZgObff+64V8EPEDE4c/CM+8KlkfmW8w7VDTznndXsDyP8dl8A3jPzOYBSPorsBfQSVKrsKjvAcwudgf5FDgrFJRi70g6E5gFdC12h652lHh6NvbwZ+GZd0VJaeY9764oJeb9Q2BPSR2AZcAgYDLwL+AYgl7EU4G/F7uDfE5RnQd0JBj89nXgB8D3it2hqw1SyXe5XBv+8OA7CHidL8MPJYY/C8+8K1iuzOehUpn3vLuClXqMN7NJBGPLphJcMVgHjAQuAs6XNAPoDBQ9GD6fh21OCn9cDJxS7I5c7SnlOSVmNklSY/hXAS8ShP9RYKykX4bzIr8SxDPvipXGzHveXbFKfRaVmQ0HhjeZ/S6wR0kbDmW70d/fyHKu18y+FUUDXHUSpT+LJO7wN+WZd6VIW+Y9764UUeQ9btl6cG4pWyuqXX2+D21PmWzVu5L/nJJmeOajUK15zyV9mS9r3iMYlOqSJAV5z3ajv/HlbIirPvVJT38TnnlXqjRl3vPuSpX0vNfoVy0XN1H6+Vnn0sQz72pJGvLuBY6LTat8rtFzrop45l0tSXre8y5wJLU1sxVxNsZVDyn51X0unnlXiLRn3vPuCpGGvOfzLKo9JL0KvB2+3kXS72NvmUu9+rrsU1J55l2xPO+uliT9GJ9PE24GDgcWAJjZy8ABcTbKpV/wpFllnRLMM+8KlivzCeZ5dwVLwzE+n1NUdWb2QZOuqNUxtcdVkfrK57tYnnlXlJRm3vPuipL0vOdT4HwkaQ/AJNUDPwamx9ssl3ZKSAVfJM+8K1iKM+95dwVLQ97zKXDOIujC3BL4BPhnOM+5rJJwDrZInnlXlJRm3vPuipL0vOfzLKq5wAllaIurIo3nZ9PIM++KkdbMe95dMdKQ95wFjqTbaeZ5JWZ2RiwtctVBya/uW+KZd0VJaeY9764oKch7Pqeo/pnxczvgaOCjeJrjqolIdnWfhWfeFSWlmfe8u6IkPe/5nKIal/la0j3AU7G1yFUFkfy7XLbEM++KkdbMe95dMaLIu6ROwB1Af4JexO8BbwHjgN7A+8BxZvZpMdsvpnlbAb2K2ZmrLZKyTnm8v5Okv0h6U9Ibkr4maVNJT0l6O/xzkzJ8FM+8y0speQ/fn4TMe95dXko9xgM3AY+bWT9gF+AN4GJgvJn1AcaHr4uSz52MP5W0MJwWEVT2lxS7Q1cbpEjuchlr+Ftuu2feFS5X5vNU9sx73l0xSj3GS9oI2Be4E8DMvjCzRcCRwOhwtdHAUcW2MespKgUl2C7ArHDWGjNbbzCac80pZYR9RvhPgyD8wBeSjgT2D1cbDTwNXFRCM5vu1zPvipa2zHveXSnyyHsXSZMzXo80s5Hhz1sD84A/SdoFmAL8FNjczOYAmNkcSV2LbV/WAsfMTNLfzGy3YnfgapPI61trRcPfHM+8K1Yemc+Wd6hA5j3vrlh5HuPnm9nAFpa1AgYAPzazSZJuIuLeyXyuonpe0gAzmxrljl21E3W5R9hXNPxZeOZdEXJmPlveoXKZ97y7IuR1jM9mJjDTzCaFr/9CkPdPJHULi/luwNxid9Bi/SWpsfjZm+AX4C1JUyW9KMl/EVxWEYzBaS78AwjDH+yjtPCv32bPvCteBGNwypp5z7srRanHeDP7mOAxIX3DWYOA14GHgFPDeacCfy+2jdl6cJ4n+OUqeoCPq22ljEcws48lfSSpr5m9xZfhf50g9NdRYvib4Zl3JUlZ5j3vriQR3Mn4x8B9ktoA7wKnE3S83C9pKPAhcGyxG89W4AjAzN4pduNJ9OQTj3PB+T9l9erVnPa97/PzC8t11iMaIy4/kSF778C8Tz9n4PHXr7Ps3O8cwLXnHkmPQZey4LMlnHfKARw/OOgRb9Wqjn69N6fnQZfx6X+Xxt7O4PxsssPfDM98wqQl75DKzHveE2jE8JMZsm9/5i1czMBjf7XOsnNPGcS15x9NjwMuYsGiJZz33UEcf+juALSqr6PfVlvQ88CLU3OMN7OXgOZO2w4qacOhbAXOZpLOb2mhmf02igaU0+rVqzn3J2fz6D+eoqFHD/bec3cOP/wItt9hh0o3LW/3PDyJEeOe5Y6rTl5nfo/NO3HgV/vy4ZyFa+fdeM+/uPGefwFw6D478uOT9ivbwR6CLsxSxB3+ZnjmEyZNeYfUZd7znkD3PDyREeP+zR1Xf3ed+T0278SBe/ZbN/N3j+fGu8cDcOi+/fnxyQek6hgft2xnyeqBjsCGLUyp88Lzz7PNNtuy1dZb06ZNG449/gQeeTjKMxzxe+7Fd1nYTIBvOP8oLr35IVq6wPO4QwZw/xPlO60uQb2UdUogz3zCpCXvkDvzCeR5T6Dnpr7Dws+ayfwF3+bSmx6kpav4jxs8kPsfnxJ389ZKwzE+Ww/OHDO7qmwtKYPZs2fRo0fPta8bGnrw/POTsrwjHQ7bd0dmz/2MV9+e3ezy9m1bc9DX+nHeDf9b1nZVPt4F88ynQFLzDqnLvOc9JQ7bbydmz13Eq9NnNbu8fbvWHLTX9px33f1lbVfS856tB6ektku6S9JcSa+Vsp0oNVf55nsL9aRq37Y1F33vYK4a8Y8W1zls3/5MePm98nZdkvzqvhme+YRLat4hd+YTyPOeAu3bteaioYdw1W2PtrjOYfvuxISX3vVjfBPZCpxSz/mOAgaXuI1INTT0YObMLx+SO2vWTLp3717BFpVu6x5d6NV9U54fcyFvPnQ5DV03ZsJ9F7B55y97mI89+Cs8UObuegi6MLNNCeSZT7gk5x0875VWbXkH2LrHZvRq6Mzz44bx5qNX0tC1ExP+fNG6mT9kNx4o4+mpRkk/xrd4isrMFra0LB9m9oyk3qVsI2oDd9+dGTPe5v333qN7QwMPjBvLqHv+XOlmlWTaO3PodfAv1r5+86HL+fop/8OCz5YAsNEG7dh7wDac/ot7y9oukYwKvhCe+eRLat4hfZn3vKfDtBmz6TVo2NrXbz56JV8/+QYWLAoz37Ede++2LadfOrqlTcQiDXkv8WHnpZN0hqTJkibPmz8v1n21atWKG2+6hW8edgi77rQ93z72OHbYccdY9xm10dd8l6f/9FO269WVGY9ewalHfjXr+kccsDPjJ73F0uVflKmFX4rgSbNVp5x5h/RnPk15h9KfJl5tPO+FG33taTw9+mds12tzZjx+Nace9bWs6x9xwC6Mn/imH+Oba1+cz1ULq/tHzKx/PuvvtttAe27S5Nwrpswme55b6SbEYsUbY1iz5JNmU7zNjrvY9X9+POv7j921+5Qct65PnUIy73lPn+VTbmoxs7ky73mv0rzvfk6lmxCb5S/dWnTeofKZz+dZVM4VTCSge9C5MvLMu1qShrx7geNiE8FtvJ1LFc+8qyVJz3tsBZikMcAEoK+kmeFtxl0NSfoI+6h55p3n3dWSpB/jY+vBMbMT49q2S77GeyTUEs98bau1zHvea1sa8u6nqFxMhBJ/n0vnouSZd7Uk+Xn3AsfFIg3VvXNR8sy7WpKGvCd9ELRLqxznZhP+e+Fc4TzvrpZEdIyXVC/pRUmPhK+3kjRJ0tuSxklqU2wTvSeKafsAACAASURBVMBxsamTsk75iDP8zkWt1LyDZ96lRxTHeOCnwBsZr68HbjSzPsCnQNGD173AcbEQUKfsU55iC79zUcqV+QJ45l3iRXGMl9QDOAy4I3wt4EDgL+Eqo4Gjim2jFzguNqVW93GH37moRdBj6Zl3qRFBD87vgAuBNeHrzsAiM1sVvp4JNBTdvmLf6FwuyvEf0KXxOTXhdEaTTcQafueiVmLewTPvUqSUY7ykw4G5ZjZlnU2ur+jnSflVVC4WeT5pdn5LzynJDL+k/ddudn3xPUzNuQLkkfkW8w6eeZcupR7jga8DR0g6FGgHbERQ4HeS1Cos6nsAs4ttoxc4Lh6lXzkSe/idi5Rn3tWSEvNuZsOAYQBhQX+BmZ0s6QHgGGAscCrw92L34aeoXCwa75GQbcrGzIaZWQ8z6w2cAPw/MzsZ+BdB+KHE8DsXpVyZz8Uz79Kk1GN8FhcB50uaQXCK9s5iN+QFjouNckxFiiz8zkUthryDZ94lVFTHeDN72swOD39+18z2MLNtzexYM1tRbPv8FJWLjSK6u5mZPQ08Hf78LrBHJBt2LmKeeVdLosp7XLzAcbFJePadi5xn3tWSpOfdCxwXm6SH37moeeZdLUl63r3AcbEIzsEmPP3ORcgz72pJGvLuBY6LR+G3p3cu3TzzrpakIO9e4Lj4JDz8zkXOM+9qScLz7gWOi0lhT1B2Lv08866WJD/vXuC4WERw7w/nUsUz72pJGvLuBY6LTdLvkeBc1DzzrpYkPe9e4LjYJDz7zkXOM+9qSdLznqgCZ+rUKfPbt9YHZdpdF2B+mfZVTuX8XL1aXFL6gwernuc9Mp75FChz3qF6M+95z1OiChwz26xc+5I0Octj3FMrSZ8r6fdIqDTPezSS9Nk88y0rZ94hWbmIUpI+V9LznqgCx1UPkfx7JDgXJc+8qyVpyLsXOC4+CQ+/c5HzzLtakvC813KBM7LSDYhJYj5X0u+RUGMSk4sYJOazeeYTJTG5iFhiPlfS815X6QZUipklJiRRStLnUo4p63ulnpL+JekNSdMk/TScv6mkpyS9Hf65SZyfoVokKRdRS9JnKzbv4JmPWpJyEaUkfa6kH+NrtsBx8RLBPRKyTTmsAn5mZtsDewJnS9oBuBgYb2Z9gPHha+cqLlfm8+CZd6mRhmO8FzguHuElhNmmbMxsjplNDX9eDLwBNABHAqPD1UYDR8X3IZwrQAl5B8+8S5kUHONrrsCRNFjSW5JmSKqab0KS7pI0V9JrlW5LozzC30XS5IzpjOa3o97AV4BJwOZmNgeCXxCga1k+TIp55ssnirwH21FvPPNF8byXT9KP8TU1yFhSPXArcBAwE3hB0kNm9nplWxaJUcAtwN0VbkdI+dwjYX6u+zlI6gj8L3Cumf036bcGTxrPfDnlzHzOvINnvhSe93JK/jG+1npw9gBmmNm7ZvYFMJagOyz1zOwZYGGl29Go8R4J2aac25BaEwT/PjP7azj7E0ndwuXdgLkxfYRq4Zkvk1yZz2sbnvlSed7LJA3H+ForcBqAjzJezwznuTiUMMReQRl/J/CGmf02Y9FDwKnhz6cCf4+0zdXHM19OJVxG5ZmPhOe9nBJ+jK+pU1Q0/1duZW9FjSjxHglfB04BXpX0UjjvEuA64H5JQ4EPgWNLamT188yXkWe+4jzvZZT0vNdagTMT6Jnxugcwu0JtqXqlRN/M/pNlE4NK2HSt8cyXkWe+4jzvZZT0vNfaKaoXgD6StpLUBjiBoDvMRU0l3yPBRcMzXy45Mu/KwvNeLik4xtdUgWNmq4BzgCcIrrm/38ymVbZV0ZA0BpgA9JU0M+zeq1x7KO0eCS4anvkytgfPe6V53svYHpJ/jK+1U1SY2WPAY5VuR9TM7MRKt6GppD9ptlZ45svHM195nvfySXrea67AceWTxz0SnKsqnnlXS5Kedy9wXGyS0EXpXDl55l0tSXrevcBxsUjKOVjnysUz72pJGvLuBY6LTRJG0TtXTp55V0uSnncvcFxskh1956LnmXe1JOl5r8rLxCWtlvSSpNckPSCpQwnb2l/SI+HPR2R7Oq2kTpJ+VMQ+rpB0Qb7zm6wzStIxBeyrd3meRivqlH1y0fC8Z12/THmHXJl30fC8Z10/MXlPQuarssABlpnZrmbWH/gCODNzoQIFf3Yze8jMrsuySieg4F+AapSGeyRUEc97Avh9cMrG854AaTjGV2uBk+lZYNuwsn1D0h+AqUBPSQdLmiBpavhNoCOApMGS3pT0H+BbjRuSdJqkW8KfN5f0N0kvh9NeBM/Q2Cb8dvHrcL2fS3pB0iuSrszY1qWS3pL0T6Bvrg8h6Qfhdl6W9L9NvrV8Q9KzkqZLOjxcv17SrzP2/cNS/yILlfTwVynPe4XyHrTD815mnveE5j0Jma/qAkdSK2AI8Go4qy9wt5l9BVgCXAZ8w8wGAJOB8yW1A24HvgnsA2zRwuZvBv5tZrsAA4BpwMXAO+G3i59LOhjoA+wB7ArsJmlfSbsR3EL8KwS/YLvn8XH+ama7h/t7A8i8i2VvYD/gMGBE+BmGAp+Z2e7h9n8gaas89hMZ5fjPRcvzXtm8Q/bMu2h53pOd9yRkvloHGbfXl08nfZbgkezdgQ/MbGI4f09gB+A5BaVmG4LbYPcD3jOztwEk3Quc0cw+DgS+C2Bmq4HPJG3SZJ2Dw+nF8HVHgl+IDYG/mdnScB/5PCulv6RfEnSTdiS4FXmj+81sDfC2pHfDz3AwsLO+PH+7cbjv6Xnsq2RS8u9yWUU87xXOO3jmy8jz7nnPS7UWOMvMbNfMGWHIl2TOAp5qevtrSbsCFlE7BFxrZn9sso9zi9jHKOAoM3tZ0mnA/hnLmm7Lwn3/2Mwyf1GQ1LvA/RYv4eGvIp73JOQdPPPl4Xn3vOelqk9R5TAR+LqkbQEkdZC0HfAmsJWkbcL1Wnr+x3jgrPC99ZI2AhYTVO+NngC+l3Hut0FSV+AZ4GhJ7SVtSNBdmsuGwBxJrYGTmyw7VlJd2OatgbfCfZ8Vro+k7SRtkMd+IlPqCPvwXPlbkmYoy9UNLi+e9zIo9YoSz3xkPO9lkPRjfLX24ORkZvPCSnmMpLbh7MvMbLqkM4BHJc0H/gP0b2YTPwVGKnii62rgLDObIOk5BZfp/SM8T7s9MCH8hvE58B0zmyppHPAS8AFBN2suvwAmheu/yrq/aG8B/wY2B840s+WS7iA4dztVwc7nAUfl97cTjVKKe0n1wK3AQcBM4AVJD5nZ65E0rsZ43svDM58MnvfySHreZRZVb51zXxqw20B7buLkrOt0aKMpZjawuWWSvgZcYWaHhK+HAZjZtVG31bko5Mp8tryDZ96lSxqO8TXbg+Pi9eLUKU90aKMuOVZrJynzN2SkmY0Mf24APspYNhP4apRtdC5KeWQ+W97BM+9SJA3HeC9wXCzMbHCJm2iu99O7G11ieeZdLUlD3mt5kLFLtplAz4zXPYDZFWqLc+XgmXe1JPa8e4HjkuoFoI+krSS1IbhxVj73k3AurTzzrpbEnnc/ReUSycxWSTqH4HLIeuAuM5tW4WY5FxvPvKsl5ci7X0XlnHPOuarjp6icc845V3W8wHHOOedc1fECxznnnHNVxwsc55xzzlUdL3Ccc845V3W8wHHOOedc1fECxznnnHNVxwsc55xzzlUdL3Ccc845V3W8wHHOOedc1fECxznnnHNVxwsc55xzzlUdf5q4i0X9Rr3MVi3Luo4tm/eEmQ1uabmku4DDgblm1r/JsguAXwObmdl8SQJuAg4FlgKnmdnUEj+Gc3nLlflceXcuTaI4xsfNCxwXC1u1nLb9Tsi6zvIXf98lx2ZGAbcAd2fOlNQTOAj4MGP2EKBPOH0VuC3807myyJX5PPLuXGpEdIyPlZ+icvEQIGWfcjCzZ4CFzSy6EbgQsIx5RwJ3W2Ai0ElStwg+iXP5yZV556pJBMf4uHkPjotPXX2uNbpImpzxeqSZjcz2BklHALPM7GWt+wvUAHyU8XpmOG9O/g12rkS5M+9c9Uh43r3AcTERKGcH4XwzG5j3FqUOwKXAwc3vcD3WzDznYpJX5p2rEqXnPe5xlv7b6OIhguo+21S4bYCtgJclvQ/0AKZK2oKgx6Znxro9gNmlfQjnCpAr885Vk2iO8aOA9QYh5zHO8gyCcZZZeYHjYpLj3GwR52fN7FUz62pmvc2sN0FRM8DMPgYeAr6rwJ7AZ2bmp6dcGSV7PIJz0Sr9GB/3OEs/ReXiU+K3VkljgP0JxurMBIab2Z0trP4YQdflDILuy9NL2rlzxfCeGldLEj7O0gscF5PSz8+a2Yk5lvfO+NmAs0vaoXMl8TE4rpYkf5ylFzguHo3nZ52rFZ55V0viyXvmOEv4cpzlHhQxztILHBcT/zbrao1n3tWS6PNuZq8CXdfuIbiYZGB4FdVDwDmSxhLcxDXnOEsvcFw8BNT7t1lXQzzzrpZEkPe4x1l6gePi41eOuFrjmXe1pMS8xz3O0gscFxP5eARXYzzzrpYkP+9e4Lj4+HgEV2s8866WJDzvXuC4eCj51b1zkfLMu1qSgrwnu/yKiaT2kh6W9JmkB0rYzsmSnoyybZUiaR9Jb0W8Ub+za0J45tdX9sy7svG8r68Wj/GJLnAknSRpsqTPJc2R9A9Je0ew6WOAzYHOZnZssRsxs/vMrLkbEiWKJJO0bbZ1zOxZM+sb4V7jeBZV1fPMRyORmXfr8bxHI5F5T0DmE1vgSDof+B3wK4Kgbgn8geB5FKXqBUw3s1URbCv1JEV/qlIE52ezTW4dnvnyqUjm3To87+VTq8f4yregGZI2Bq4Czjazv5rZEjNbaWYPm9nPw3XaSvqdpNnh9DtJbcNl+0uaKelnkuaG3wxOD5ddCVwOHB9+axgq6QpJ92bsv3dYEbcKX58m6V1JiyW9J+nkjPn/yXjfXpJeCLtFX5C0V8aypyVdLem5cDtPSurSwudvbP+FGe0/StKhkqZLWijpkoz195A0QdKicN1bJLUJlz0TrvZy+HmPz9j+RZI+Bv7UOC98zzbhPgaEr7tLmi9p/wL+FRNf3SeJZ74GMu/W8rzXQN4TkPlEFjjA14B2wN+yrHMpsCewK7ALsAdwWcbyLYCNCR7GNRS4VdImZjac4BvDODPrmOWmQgBI2gC4GRhiZhsCewEvNbPepsCj4bqdgd8Cj0rqnLHaSQQ3J+oKtAEuyLLrLQj+DhoIfllvB74D7AbsA1wuaetw3dXAeUAXgr+7QcCPAMxs33CdXcLPOy5j+5sSfNM5I3PHZvYOcBFwn4Jng/wJGGVmT2dp7/oSXt0njGe+2jPvMnneqz3vCch85VvQvM4ED+nK1r14MnCVmc01s3nAlcApGctXhstXmtljwOdAsecf1wD9JbU3szlmNq2ZdQ4D3jaze8xslZmNAd4Evpmxzp/MbLqZLQPuJ/jFbclK4BozWwmMJQj2TWa2ONz/NGBnADObYmYTw/2+D/wR2C+PzzTczFaE7VmHmd0OvA1MAroRHGzyp+RX9wnjma/2zOd8u+4Kv82/ljHv15LelPSKpL9J6pSxbJikGZLeknRIQW2tPM97tec9Acf4pBY4Cwhu3ZztvGF34IOM1x+E89Zuo8kvz1KgY6ENMbMlwPHAmcAcSY9K6pdHexrb1JDx+uMC2rPAzFaHPzeG85OM5csa3y9pO0mPSPpY0n8Jvr002zWaYZ6ZLc+xzu1Af+D3ZrYix7rrS/gI+4TxzFd75nMbBQxuMu8poL+Z7QxMB4YFu9EOwAnAjuF7/iCp8v9HyZ/nvdrznoBjfFILnAnAcuCoLOvMJuh6a7QlOZ4smsUSoEPG6y0yF5rZE2Z2EEGV+yZBKHK1p7FNs4psUyFuI2hXHzPbCLgEmn20fKasj5mX1JFgAOCdwBVh92zeBNTV1WWd3Do884VJXeZzMbNngIVN5j2Z8T/xiQRPUIZgIO7Y8Nv5ewTP59mjkPZWmOe9MKnLexKO8ZVvQTPM7DOCc5K3hgOvOkhqLWmIpBvC1cYAl0naLBzIdTlwb0vbzOElYF9JWyoY/DascYGkzSUdEZ6nXUHQDbq6mW08Bmyn4LLHVpKOB3YAHimyTYXYEPgv8Hn4zeOsJss/AbZe713Z3QRMMbPvE5x3HlHQu5XHlGsTNdRl75kvWPoyH/RYTM6YzmhpUy34HvCP8OcG4KOMZTNZtych0TzvBUtf3ivfgZPMAgfAzH4LnE8wqGwewS/zOcCD4Sq/BCYDrwCvAlPDecXs6ylgXLitKawb2DrgZwTV+0KC854/amYbC4DDw3UXABcCh5vZ/GLaVKALCAa3LSb45jGuyfIrgNEKRuAfl2tjko4k6PY+M5x1PjBA4ZUF+VEU1f0oaqfL3jNfmNRlnmDMycCMaWTeW5YuBVYB963d2fqyfmNPGs97QVKX9yT04MgsVb8TLiXqN93KNjj4yqzrLB536hQzG5htHUm9gUfMrH8zy44GjjGzkyUNAzCza8NlTwBXmNmE4j6Bc4XJlfli8y7pVIL/EQ0ys6XhPM+7q6iojvFxqnyJ5aqTQHXKOkWgarrsXRXIkfmiNikNJric94jG4ib0EHCCgnvFbAX0AZ4v+TM4l6/yHONL4gWOi4UQUvaJEsYkVGOXvUu3XJnP+X5pDMHg274KbtI2FLiFYPzFU5JekjQCILyM+H7gdeBxghvmNTduxLlY5HmMz76NmMdZ+tPEXWzyOAc7v5juy7DL/nCCLvvGImYm0DNjtR4Uf8WFc0UpZdyBmZ3YzOwWb1JnZtcA1xS9Q+dKFME4m1EERfzdGfOeAoaZ2SpJ1xOMs7yoyTjL7sA/JW2XrbD3HhwXm1Kr+xa26V32LrGizrtzSVbqMT7uWyMkqgenw8ab2MabV9+wiRUr11S6CbFYMn82KxYvaj7F4fnZUoRd9vsTnMqaCQwnqObbEnTZA0w0szPNbJqkxi77VaSgy16tO5jablzpZkRu5+26514ppV5+cep8M9us2YURZL6aqVV7U5sNK92MyH1l+y0r3YTYTJ06pdS8d5E0OeP1yEKuHiQYZ9l4xVgDQcHTKOc4y0QVOBtv3sDQm/9a6WZE7p25SyrdhFg8MbzlKwobz8+Wotq77NV2Y9rufFqlmxG58U9dXekmxKZLx9ZN72S7VhSZr2ZqsyFt++a8gjl1npt0S6WbEJv2rVVq3osahgDRjLNMVIHjqot/m3W1xjPvaklceY9qnKWPwXHxUDxjcJxLrByZd66qxHSMj3KcpffguNgk4U6WzpWTZ97VklLzHvc4Sy9wXCx8PIKrNZ55V0vSMM7SCxwXD7+ixNUaz7yrJSnIuxc4Ljb+bdbVGs+8qyVJz7sXOC42Sa/unYuaZ97VkqTn3QscF5ukV/fORc0z72pJ0vPuBY6LhSS/osTVFM+8qyVpyLsXOC42Sa/unYuaZ97VkqTn3QscF5ukn591LmqeeVdLkp53L3BcPJT86t65SHnmXS1JQd69wHGxEKIu4dW9c1HyzLtakoa8e4HjYpPw4t65yHnmXS1Jet6TPQTapZegrk5ZJ+eqSo7M53y7dJekuZJey5i3qaSnJL0d/rlJOF+SbpY0Q9IrkgbE+MmcW18KjvFe4LhYiOSH37ko5cp8HkYBg5vMuxgYb2Z9gPHha4AhBE9T7gOcAdwWxWdwLl9pOMZ7geNiU2r4/RutS5tS8m5mzwALm8w+Ehgd/jwaOCpj/t0WmAh0ktQtoo/hXF68wHG1ScH52WxTHkbh32hdWpSe9+ZsbmZzAMI/u4bzG4CPMtabGc5zrjyiOcbHqiYGGS///L88+rvLmPfBdJA4/Lxf0apNO/7x++GsWrmCuvp6Bp99BQ19d650UwsyZPvNOLBPZ8zgo0XLGfHcBxzQpzNDtu/KFhu15Yxxr7B4xeqKtC0YYV9a/Wxmz0jq3WT2kcD+4c+jgaeBi8j4RgtMlNRJUrfG/zlUuxGXfJshX+/HvE8/Z+B3bgLg8h8cxOH7bM+aNca8RUs445cPMGf+Yg7fZ3su/8FBrFljrFq9hgtveoT/e+WDCn+C3H5y1vd58h+P0WWzrvznhZfWzr/9tlu4Y+RttKpvxUGDh3DFL6+rSPvyyHwXSZMzXo80s5FF7259VuS2UmfE8JMZsm9/5i1czMBjf7XOsnNPGcS15x9NjwMuYsGiJQDss1sffv3zb9O6VT0LFn3Owd+/qRLNLsny5cv5xgH78sWKFaxavYqjv3UMvxh+ZcXaE8UxPm41UeA8OeIath64D9++7GZWr/yClSuW89dfncs+J5/Ntrvvx4zn/83/u/PXnHLDPZVuat42ad+awf0244KH3mDlauOn+/bma1ttwvR5S5g6cwaXH7JtpZsYVwW/zjdaSbm+0dZEgXPPY1MY8ZcJ3HH5sWvn3XjfM1x1+1MA/OjYvRh2+iB+8usH+dfkd3jk2TcA6L/NFtz7yxPZ9cQbK9LuQpxw8qkM/eGPOPsH31s779l/P80/Hn2YZyZOpW3btsybO7eCLcyZ+flmNrDATX7SWKiHp6AaP+BMoGfGej2A2QVuO7XueXgiI8b9mzuu/u4683ts3okD9+zHh3O+PNO3ccf23HTJcRx59h/46ONP2WyTjuVubiTatm3L40/9Pzp27MjKlSs5cL+9OfiQIXx1zz0r1qZSj/GS7gIOB+aaWf9w3qbAOKA38D5wnJl9quCmOzcBhwJLgdPMbGq27Se7/IrAiiWf8+FrL7DrIccAUN+6De06boQkvlgaVPcrli5mw85ds20mkerrRJv6OuoEbVrV8enSlby/cBnzl3xR6ablO8K+i6TJGdMZpe1xPTXzjfa5l95n4X+XrjNv8dIVa3/u0K41QecWLFn2ZT42aN8GS8nf0l5778Mmm2y6zrxRd/yRn/7sQtq2bQvAZl0r+Htc4lVULXgIODX8+VTg7xnzvxuOPdsT+KxWeisBnpv6Dgs/W7re/Bsu+DaX3vTg2qwDHD9kIH8f/zIfffwpAPM+/bxs7YySJDp2DIqzlStXsmrlysreaC+aq6hGEeMwhKrvwfn044/osPGmPPLbYXzy7pts0WdHDj7zUg764SWMuWwo/7zjeszWcNr/jK10Uwvy6bKVPDJtLrd8e0e+WL2GV2Yv5tU5iyvdrLVEXne59G+0Mbvihwdz8uCv8NmS5Qw+546184/YdweuOusQNtukI9+6YHSWLSTbOzOmM+G5/3DNlb+gbdt2XPmr6xmw2+4VaUuemW/5/dIYgtOvXSTNBIYD1wH3SxoKfAg0dtE9RvBNdgbBt9nTi95xlThsv52YPXcRr06ftc78Pr260qpVPU/c/lM6dmjLrWOe5s+PPF+hVpZm9erV7LXHbrzzzgx+eNbZ7PHVr1asLaXmHeIfhhBrD46kwZLeCq9suTj3O6K3ZvUqPp7xOgMOO5Hv3/ogbdq15//uH8mUR8dw0BnD+Mk9/+agM4bxyO8urUTzirZBm3oG9tyYn/z1dX70wGu0bVXH3lttUulmrSOmEfaJ/UabhLw3dcUfn6TP0dcz9omXOPPbX1s7/6FnXmfXE2/kuIvv4fIfHFTBFpZm1arVfLboU57413Ncec11fP+7J63z7b3cSryK6kQz62Zmrc2sh5ndaWYLzGyQmfUJ/1wYrmtmdraZbWNmO5nZ5Fzbj0NSMt++XWsuGnoIV9326HrLWtXXMWD7nhz949s44uxbGfaDwWy7Zfp67AHq6+uZNOUlZrw/k8kvPM+0117L/aYYxdRLH9nA+tgKHEn1wK0E3Uo7ACdK2iGu/bVkoy5bsFGXLWjotwsA/fYezMczXufVf/6Nvl8/GIDt9xnC7LdeKXfTStK/24bM/fwLFq9YxWqDFz78jO26blDpZq2j1BH24TfaCUBfSTPDb7HXAQdJehs4KHwNwTfadwm+0d4O/CiGj5StrYnIe0vuf+pljjpgx/XmP/fS+2zdsCmdN+5QgVaVrntDA4cdcTSSGDBwD+rq6lgwf37F2pPkK0qilqTMb91jM3o1dOb5ccN489EraejaiQl/vojNO2/IrLmLePL/3mDp8i9YsGgJ/5k6g523S/cFZ506dWLf/fbnyScfr2g78jjGzzezgRlTsYPqoYhhCHH24OwBzDCzd83sC2AsQRdTWXXcdDM22mwLFsx8F4D3X5rAZltuQ8fOXfnw1efDeRPZtKF3uZtWkvlLvqDPZh1oUx/8m/fv1pFZny2vcKu+pAjOz6bsG20i8p5pmx6d1/582N7bM/2DeQBs3fDl/F23606b1vUsaGY8QxoMOfwInv33vwCY8fZ0vvjiCzp36VKRtuTKfBVKTOanzZhNr0HD6HfYcPodNpxZcxfxtZOu55MFi3n46Vf4+le2ob6+jvbtWrN7/968+d7HlWhmSebNm8eiRYsAWLZsGf9v/D/p27dfxdoTxTG+BZ803tOp1GEIcY7Baa47ab0ThmGX1RkAG3XtHktDDj7rFzx4wwWsWbmSTt16cvh517LdnoN48o+/Ys3qVbRq05ZDf3JVLPuOyzvzlzLpg0X86vB+rFljvL9wGeOnL+CQfpvxzR270ql9a67/5va8OOszbp/wUe4NRk6Jf9JsxArOO202imzno688gX2+shVdOm3AjAcv5uo7/sngr/WlT68urFljfPjxIn5yw4MAHH3Ajpw0eAArV61m+RerOOUXYyJrR5x+cNp3eO7Zf7NwwXx22q43F116OSd/93R+ctb32Xv3XWndpjW3/PGuCubOM0+TzK+T99bRXb00+trT2Ge3PnTp1JEZj1/N1SMeY/SDE5pd9633PuGp/3udF+4fxpo1xqi//R+vv5O+8dgfz5nDD753KqtXr2aNreHbxxzHoYcdXsEWxZb3xmEI17H+MIRzJI0lyFnOYQhxFjh5dSeFXVYjAbpt1z+Wk+dbbLM9Q2/+6zrzevYfyNDfvccV4gAAIABJREFU/7WFd6TDX17+mL+8vO43kSfenMcTb86rUIvWVaXfWltScN7rOnaLLO+nDl9/kPzoR5rvxPqfe5/hf+59Jqpdl83to+5tdv6IO+8uc0ta5plfN/Pr5L1D1+jyPmxU1uX9Dhu+zusb7x7PjXePj2r3FbHTzjszcfKLlW7GOkrNe9wD6+MscPyqllpWpeMOsvC81zrPvGe+lkSQdzM7sYVFg5pZ14CzC9l+nAXOC0AfSVsBs4ATgJNi3J9LkOBBbFV/m6VMnvca55n3zNeSNOS9xQJHUtYBAmb23xzLV0k6B3gCqAfuMrNpRbXSpVLavs2WknnPu4N0Zd6P8a5USc97th6caQTnUzM/QuNrA7bMtXEze4zgvJmrNUrleISSMu95r3Hpy7wf413xUpD3FgscM+vZ0jLnclEKryjxzLtSpC3znndXijTkPa8TaJJOkHRJ+HMPSbvF2yxXDerrlHVKMs+8K4bn3dWSpB/jcxY4km4BDgBOCWctBUbE2ShXHUq9k3GleOZdsTzvrpYk/Rifz1VUe5nZAEkvApjZQkltYm6XSzmJRFTwRfLMu4KlOPOed1ewNOQ9nwJnpaQ6whs4SeoMrIm1Va4qJP38bBaeeVeUlGbe8+6KkvS85zMG51bgf4HNJF0J/Ae4PtZWudQTUCdlnRLMM+8KlivzCeZ5dwVLwzE+Zw+Omd0taQrwjXDWsWZW2We0u1RIeO9lizzzrlhpzLzn3RUr6XnP907G9cBKgi7MZN+60CWDUv8EZc+8K0y6M+95d4VJQd7zuYrqUmAM0J3gWSN/ljQs7oa5dEtD92VLPPOuGGk9ReV5d8VIwzE+nx6c7wC7mdlSAEnXAFOAa+NsmEu/pFf3WXjmXVFSmnnPuytK0vOeT1fkB6xbCLUC3o2nOa5a5Lo/Qj7FvaTzJE2T9JqkMZLaSdpK0iRJb0saF9PlrJ55V7Ao7glSocx73l3BojjGxy3bwzZvJDgfuxSYJumJ8PXBBKPsncuqvoSES2oAfgLsYGbLJN1P8LTiQ4EbzWyspBHAUOC2KNrrmXelSlPmPe+uVKXkvRyynaJqHEU/DXg0Y/7E+JrjqkkE90hoBbSXtBLoAMwBDgROCpePBq4gogIHz7wrUcoy73l3JSk175LOA75PUFi/CpwOdAPGApsCU4FTzOyLYraf7WGbdxazQecgCH4pd7k0s1mSfgN8CCwDniQYF7DIzFaFq80EGkpta8Y+PfOuaHlkvoukyRmvR5rZyMYX5c68592VotRjfDl6LHMOMpa0DXANsAPQrnG+mW1XzA5d7cijuG/xgC9pE+BIYCtgEfAAMKSZbVjpLV2XZ94VK0fm55vZwJbfW5nMe95dsSI4QxVrj2U+V1GNAn4J/Ibgl+10/DbeLgeR13NKsh3wvwG8Z2bzACT9FdgL6CSpVfiNtgcwO6ImZxqFZ94VKM/MZ1OpzI/C8+4KlGfeW/wSW44ey3yuoupgZk+EDXrHzC4jePKsc1lJyjrl8CGwp6QOClYeBLwO/As4JlznVODvMTTdM++KUkLeoXKZ97y7ouRxjJ9vZgMzppEZ783ssewObEDEPZb59OCsCH/Z3pF0JjAL6FrsDl1tkEobYW9mkyT9hWCQ2SrgRWAkwWDIsZJ+Gc6LYxyBZ94VLMWZ97y7gpWad8rQY5lPgXMe0JFgMNA1wMbA94rdoasdpZ6fNbPhwPAms98F9ihtyzl55l1RUpp5z7srSol5X9tjSXCKahAwmS97LMdSYo9lPg/bnBT+uBg4pdgdudqT9LtctsQz74qVxsx73l2xSsl7OXoss93o729kOfdlZt8qdqeu+olkPIukEJ55V4q0Zd7z7koRRd7j7rHM1oNzSxQ7KET3Ddtx2Teq78rETXY/p9JNiMWKT+a3vFCp/DZb1sx/pW8Dzz1TfY/7qda855S+zJc17zv17clj//ptOXdZFpsc+ftKN6EyUpD3bDf6G1/Ohrjqk88leknimXelSlPmPe+uVEnPez6DjJ0rWAT3BHEuVTzzrpakIe9e4LjYJDz7zkXOM+9qSdLznneBI6mtma2IszGuekjJr+5z8cy7QqQ98553V4g05D3nKTRJe0h6FXg7fL2LpBodVeUKIWWfksoz74rleXe1JOnH+HzGCN0MHA4sADCzl/HbeLscBLSSsk4J5pl3BcuV+QTzvLuCpeEYn88pqjoz+6DJs1RWx9QeV0USkO9ieeZdUVKaec+7K0rS855PgfORpD0Ak1QP/BiYHm+zXNpJSvz52Sw8865gKc68590VLA15z6fAOYugC3NL4BPgn+E857JKePaz8cy7oqQ08553V5Sk5z2fZ1HNBU4oQ1tcFUnDPRJa4pl3xUhr5j3vrhhpyHvOAkfS7TTzvBIzOyOWFrnqoORX9y3xzLuipDTznndXlBTkPZ9TVP/M+LkdcDTwUTzNcdVCQH3SR6C1zDPv/n979x0vRX3ucfzzBQRBMIAIUlQEEawgImI3oghWvLGXqDGiRo092BJLkquJSSzRq8GoYMUSjV2jXgtyAWl2BBFRKUoTREDhHJ77x87BBc7Z3bM7szuz+7x9zYuzs3NmntUvP5+dWm8Jzrzn3dVbEvKeyyGqR9JfS7ofeDmyilzZiHt3XxfPvMtXEjPveXf5inve83lUw1bAlmEX4spLGMdnJbUE/gnsQGoX+i+AqcAjQGdgJnCMmX1T0Iay88y7rJJwTkKOPO8uqyTkPZc7GX8jaVEwLSbV2V8RfWku0bLc4TLHPZu3AC+aWQ+gJzAFuAx41cy6Aa8Gr8Mt3TPv8hHCXV0ltZT0uKSPJU2RtLuk1pJelvRJ8GerUMv2vLt8hDDGR533jHtwlLrzU09gdjBrtZmtdzKac+sS0KiA7l7SxsA+wKkAZrYSWCnpCGC/YLERwOvA0PwrXW+7nnmXl0IzH6hp6o+S1BhoRqrZeNXMbpB0GammPpTMe95dvpKQ94x7cIKgP2lm1cHkwXc5y6G7byNpQtqUftVGF2A+cK+kyZL+KWkjoJ2ZzQUI/mwbZs2eeVeIAr/N1jT1d0OqqTezxcARpJp5gj8Hh1Wv590VopA9OMXIey7PonpbUu98N+AqkxANlXkCFphZn7RpWNoqGgG9gTvMbGdgGREcjqqDZ97VW7bMk7mhhxI19XjeXR5yHONL+iW2zkNUkhqZWRWwF3CGpE9J/U9Gqe2a/4VwdSv8HgmzgFlmNi54/TipBudrSe3NbK6k9sC8wgr9kWfeFSR75heYWZ8M79c09eeZ2ThJtxBhU+95dwXJbYzPlPnI857pHJy3g42HtjvUVY5Cz7A3s68kfSmpu5lNBfoDHwXTKcANwZ9PhVBuDc+8y1sIV5UUu6n3vLu8JSHvmRocAZjZp/muPI66b92ZFs1b0LBhQxo1asTocRNKXVK93Hn1iQzaZwfmL1pKn6P/e633Lji5P9dfdCSdfjqUhYuXcdygPlx06oEALFvxA7/+70d4f9rs2lYbiQaF3wTqPODB4OSzGcBppA6rPirpdOAL4OhCN5KmLDN/2623cO89d2FmnPaLMzjv/AtKXVLOasv77351CIfuuxOrzZi/aClDrn6AufOXsHHzDbnnD6eweftWNGrYkJvve5X7nx5b1HoLyXwJmvqyyPvF5w7hlZeep02bTXl1zOQ18+8ZdjvD77qDRo0asf+Bg7jquutLWGXu7jy/P4P6dmb+4hX0OechAH530m4c2q9LKvOLVzDkpleYu2gZ23RqxbAL+tNr67Zcc98Ybn5icpa1hyvuec/U4Gwq6aIMxf0t342W2ouvvEabNm1KXUZe7n9mLHc+8gb//P3P15rfqV1L9u/Xgy/mLlozb+achQz45c0sXrqCAXtux+1XHc8+P/9LUepM3eWysHWY2TtAbbs3+xe25jqVXeY//OAD7r3nLkb939s0btyYww8ZyKCDD2Hrbt1KXVpOasv7TSNe5br/eQ6AXx2/L5cPGcSv/ziSM4/Zh49nfMVRF/yDNq2a8+6Tv2Xk8+NZVVVdlFrDyDzFberLIu9HH38yp55xNhec9Ys180aPep3/PP8ML781kSZNmrBgfmhHsiN3/ytTuPPZ9/jnRQeumXfTvyZx3QOpHR2/OmwnLj9+V359++t8s/R7Lv7Hmxy2e5ei15mEvGdqcBoCzQm6fBcPoyd9yhbtW683/8+X/Iwrb/k3j9304zlcY9/9bM3Pb7/3GR3btSxKjUBwj4TERafsMv/xx1Po27cfzZo1A2Dvffblqaee5OJLflPiynJTW96XLvt+zc/Nmjah5sIfA5pv1ASAjZo24Zsly6mqXl20WsPIfJGb+rLIe7899+bLL2auNe/+e4ZxzgWX0qRJKg9tNg37vOzojP5wDlu0bbHWvKUrVq35udmGG1Bzrdv8JSuYv2QFA3ftXMQKAwnIe6YGZ66ZXRfGRuJEEocNGoAkTj/jTE4/I/nPkztk3x2ZM29xxsNPpw7eg5dGf1S0mpLwnJJalF3mt99+B6753ZUsXLiQpk2b8uILz9N7l0znuSbDNeccxomH9mXJdysYOORWAO4c+QaP33wmM/7zR1pstCEnD71nTfNTDAnMfNnlvcaM6Z8wbsxo/vSHq2nSZEN++/sb6NU72bm/5uf9OHH/HixZtpKBlz9R6nISkfdMl4kXVLmkeyTNk/RBIesJ2/++MZox4yfx72df4B933M5bo94sdUkFabrhBgw9/SCuu+O5OpfZp083Thm8O1fdEub5uNkpyxRDZZf5Httuy8WXDOXQgQdy+CED2WmnnjRqlM8TWuLlmtufodug3zLyhQmcdew+ABy4x7a8N3UWXQZcyW7HXc9Nlx1Ni402LGpdnvd4qK6qYsnib3jm5VFcdd31nH3aCUVtdqNwzX1j6XbqcEa+PpWzDutZ6nKA+I/xmRqcQncRDQcGFriO0HXo0AGAtm3bcvjgIxk//u0SV1SYLp02ZcuOm/D2I5fz8XPX0rFtS8Y8NJR2m6R2ce7QrQN3/O4Ejr5wGIuWLCtiZaJBg8xTDJVl5k/9xemMGT+JV157k1atW7P11sk4/yYXj74wnsH9ewFw8uH9eOp/3wVgxpcLmDl7Id07tytiNZ73uNisY0cGHTYYSey8y640aNCARQsXlLqsUDz6+jQG79G11GWQhDG+zgbHzBbV9V4uzOxNoKB1hG3ZsmUsXbp0zc+vvPwftt9+hxJXVZgPp89hy/6X0+OQq+lxyNXMnreY3U/4E18vXMrmm7Vi5F/O4PTf3sf0L4p7kp1IhSvTFDflmHmAefNS/+2/+OILnvr3Exxz3PElrqgwXbfYdM3Ph+y7E9Nmfg3Al199w359uwPQtnULtuncjs9mF+9/atkyHzflmneAgQcfzug3XwdgxvRprFy5itabJPPCEoCuHX6y5udD+m3FtFlRP184uySM8SXfVx3c2XAIwOZbbBHptuZ9/TXHHnUkAFXVVRx73AkMOCiWX0DqNOL6U9l7l260admc6S/+nt/f+Twj/j2m1mUvHzKI1i034ubLjwWgqno1e53456LVGsJl4mWnmHmvcfwxP2PRooVs0GgDbr71dlq1CvVZjZGqLe8D99qeblu2ZfVq44u5i/j1H0cCcMNdLzLs2pMY/+gVSHDlLU+xcHEx91p65teVnveOnaLJ+zmnn8yY0W+yaOEC+mzfhYsv+y3HnnQqF587hP6778wGjRtz8x3/TMxFDyN+cxB779iRNhtvyPQRp/H7B8cxsM+WdOvYitVmfDFvKb++/TUA2rVqxuibj6VFs8asXm2ce0Qvdj7rgbVOSo5S3POuKI9LSuoMPGtmOe0m2WWXPpa0+9LkotWu55a6hEj8MPVRVi+fV2vCu27f0/700IsZf//oXh0mZrmza+LUJ/Oe9+T5/p3b68xstsxXet577ryLPf9a7V/GkmzrE/9R6hIi8/3zv84771D6zJd8D44rT0k4w965MHnmXSVJQt69wXGRiXf0nQufZ95VkrjnPbLzgCQ9DIwBukuaFdyV0FWImu4+y5Nmy4pnvrJly3y58bxXtiSM8ZHtwTGzZF+q4QoWg3wXlWfeVVLmPe8u7nn3Q1QuIor9GfbOhcsz7ypJ/PPuDY6LROoeCfEOv3Nh8sy7SpKEvHuD46IhaBCHOz05VyyeeVdJEpB3b3BcZBTz7t65sHnmXSWJe969wXGRSMI9EpwLk2feVZIk5D3mO5hckkmZp9zWoYaSJkt6Nni9laRxkj6R9IikxlF+Bufqo9C8O5ckcR/jvcFxkQjxHgnnA1PSXv8JuMnMugHfAH7vDRcLlXYfHFfZkjDGe4PjIqKs/2Rdg9QJOAT4Z/BawP7A48EiI4DBEX0A5+qpsLw7lyzxH+O9wXHREDTIMgFtJE1Im4ass5abgd8Aq4PXmwCLzawqeD0L6FiMj+NcVtnznttq/LCsS4IEjPF+krGLhCCXm0AtqOtJs5IOBeaZ2URJ+6Wtdl2Wd5HOhSjHzOeiZpf9xsHrml32IyXdSWqX/R1hbMi5fCVhjPc9OC4yBZ6AtidwuKSZwEhSuy1vBlpKqmnMOwFzIirfuXoL4YRLPyzrEiPuY7w3OC4yhRyfNbPLzayTmXUGjgP+18xOBF4DjgoWOwV4KsrP4Fx9ZMl7tt314IdlXYLEfYz3Q1QuMvU576AehgIjJf0BmAzcHclWnMtDlszXubse/LCsS564j/He4LjohBR+M3sdeD34eQbQN5w1OxeywjJfs8v+YGBDUufgrNllH+zF8cOyLj5iPsb7ISoXCSl1Alqmyblyki3z2fhhWZckSRjjvcFxkVGWyblyE1HehwIXSZpO6pwcPyzrYiHuY7wfonIREYpBB+9c8YSXeT8s6+Iv/mO8NzguMjHPvnOh88y7ShL3vHuD4yIh4h9+58LkmXeVJAl59wbHRcafv+MqjWfeVZK4590bHBeZiO6R4FxseeZdJYl73mPV4EyaNHFB0w30eZE21wZYUKRtFVMxP9eWdb4Tl9PoY8zzHhrPfAK8986kBZ1aNSlW3qF8M+95z1GsGhwz27RY25I0IdNdRZMqLp8rxAcPli3Pezji8tk885kVM+8Qn1yELS6fKwl5j1WD48pLvKPvXPg8866SxD3v3uC4yMT9HgnOhc0z7ypJ3PNeyQ3OsFIXEJHYfK6YZ7/SxCYXEYjNZ/PMx0pschGy2HyuuOe9YhscM4tNSMIUp88V9/BXkjjlImxx+mye+fiIUy7CFKfPFfe8V2yD46KVOsE+5ul3LkSeeVdJkpB3f9imi4ZS90jINDlXVjzvrpIUOMZL2lzSa5KmSPpQ0vnB/NaSXpb0SfBnq3xLrLgGR9JASVMlTZd0WanrCYukeyTNk/RBqWtZI+6Pmq0Qnvki8ryXnOe9iAob46uAi81sW6AfcI6k7YDLgFfNrBvwavA6LxXV4EhqCNwODAK2A44P/oWWg+HAwFIX8SPRQJmnjL9dhO6+Enjmiyn/vLtweN6LqbAx3szmmtmk4OelwBSgI3AEMCJYbAQwON8KK6rBAfoC081shpmtBEaS+peZeGb2JrCo1HXUyNbY5zDcR97dVwjPfJH4DstY8LwXSQhj/I/rkjoDOwPjgHZmNhdSTRDQNt8aK63B6Qh8mfZ6VjDPRUBSximTYnT3FcIzX0T55t2FxvNeRDmM8W0kTUibhtSyjubAv4ALzOzbMOurtKuoahtlrOhVVIgcxvQ2kiakvR5W2yWQmbp7SXl39xXCM19E3seUnOe9iHLI+4JMj5WQtAGp5uZBM3simP21pPbB+N4emJdvfZXW4MwCNk973QmYU6JayltuV45kDD+s3937N+F688wXS4FXS0naHLgP2AxYTarhv0VSa+ARoDMwEzjGzL4ptNwy5XkvlsLzLuBuYIqZ/S3traeBU4Abgj+fyncblXaIajzQTdJWkhoDx5H6l+kiUdgR2kzdffB+Qd19hfDMF1VBZyT4eWeF87wXVUFj/J7AycD+kt4JpoNJNTYHSvoEODB4nZeK2oNjZlWSzgVeAhoC95jZhyUuKxSSHgb2I3XYZxZwtZndXbJ6iH93Xwk880Wsh8IyHxx6rTn8ulRS+nln+wWLjQBeB4bmv6Xy5XkvYj0UnPe3qLsL6p//mn9UUQ0OgJk9Dzxf6jrCZmbHl7qGdRV4NKmmu39f0jvBvCtINTaPSjod+AI4uqCtVADPfPFkyXxO55yl1qPO+HlnefG8F0/czxiouAbHFU8h58sUo7t3LmxZMp/1nLNgHX7emUuEuGez0s7BcUXk9wVxlabQvPt5Zy5J4j7Ge4PjIiFR0F0unUuabJnP/vtZzzsDP+/MxUQSxng/ROWiU/p8O1dcft6ZqyQxH+O9wXGR8Scou0oT96tKnAtT3Mf4sjxEJak6uKb+A0mPSWpWwLr2k/Rs8PPhmZ5OK6mlpF/lsY1rJF2S6/x1lhku6ah6bKtzcZ5Gq6z/uHB43jMuX6S8Q7bMu3B43jMuH5u8xyHzZdngACvMrJeZ7QCsBM5Kf1Mp9f7sZva0mWW66VBLoN5/AcqRSB2jzTS50HjeYyBb5l1oPO8xkIQxvlwbnHSjgK2DznaKpP8BJgGbSxogaYykScE3geYAkgZK+ljSW8B/1axI0qmSbgt+bifpSUnvBtMepI6Vdw2+XdwYLHeppPGS3pN0bdq6rpQ0VdIrQPdsH0LSGcF63pX0r3W+tRwgaZSkaZIODZZvKOnGtG2fWei/yPqKe/jLlOe9RHlP1eF5LzLPe0zzHofMl3WDI6kRMAh4P5jVHbjPzHYGlgFXAQeYWW9gAnCRpA2Bu4DDgL1JPRemNrcCb5hZT6A38CGpW6h/Gny7uFTSAKAb0BfoBewiaR9Ju5C6hfjOpP6C7ZrDx3nCzHYNtjcFOD3tvc7AvsAhwJ3BZzgdWGJmuwbrP0PSVjlsJxwJOMO+3HjeS5h3yJp5Fy7Pe7zzHofMl+tJxk3141UIo0hdetkB+NzMxgbz+wHbAaOV+g/RGBgD9AA+M7NPACQ9AKz3iHdgf+DnAGZWDSyR1GqdZQYE0+TgdXNSfyFaAE+a2fJgG7k8K2UHSX8gtZu0Oalbkdd41MxWA59ImhF8hgHATvrx+O1Pgm1Py2FbBYvLfRAqhOe9xHkHz3wRed497zkp1wZnhZn1Sp8RhHxZ+izg5XVvfy2pF2Ah1SHgejP7xzrbuCCPbQwHBpvZu5JO5cdn01DLuizY9nlmlv4XBUmd67ndvCkGHXyF8LzHIO/B9oq5uUrlefe856SsD1FlMRbYU9LWAJKaSdoG+BjYSlLXYLm6nv/xKnB28LsNJW0MLCXVvdd4CfhF2rHfjko9R+ZN4EhJTSW1ILW7NJsWwFyl7nR64jrvHS2pQVBzF2BqsO2zg+WRtI2kjXLYTmjifny2wnjei8DzHhue9yKI+xhfrntwsjKz+UGn/LCkJsHsq8xsmqQhwHOSFgBvATvUsorzgWFK3XyrGjjbzMZIGq3UZXovBMdptwXGBJ3ud8BJZjZJ0iPAO8DnpHazZvNbUg/e+5zUMef0v2hTgTeAdsBZZva9pH+SOnY7SamNzwcG5/ZvJxxxCLhL8bwXh2c+HjzvxRH3vMssrL11zv2o9y59bPTYCRmXadZYE3N5+KBzSZAt8553V06SMMZ7g+MiIelFoE2WxRaY2cBi1ONc1HLIvOfdlY0kjPHe4DjnnHOu7FTyScbOOeecK1Pe4DjnnHOu7HiD45xzzrmy4w2Oc84558qONzjOOeecKzve4DjnnHOu7HiD45xzzrmy4w2Oc84558qONzjOOeecKzve4DjnnHOu7HiD45xzzrmy4w2Oc84558qONzjOOeecKzve4DjnnHOu7HiD45xzzrmy4w2Oc84558pOo1IX4MpTw423NKtakXEZWzH/JTMbWKSSnItUtsx73l05ScIY7w2Oi4RVfU+THsdlXOb7yX9vU6RynItctsx73l05ScIY7w2Oi4YAqdRVOFc8nnlXSRKQd29wXHQaNCx1Bc4Vl2feVZKY590bHBcRgfwcdldJPPOuksQ/7/GuziWXSHX3maZsq5DukTRP0ge1vHeJJJPUJngtSbdKmi7pPUm9w/9QzmWQLfPOlZMQxvioeYPjIqLU8dlMU3bDgfXOwJe0OXAg8EXa7EFAt2AaAtxR8Edwrl4Ky7s39C5ZQhnjI+UNjotOgd29mb0JLKrlrZuA3wCWNu8I4D5LGQu0lNQ+jI/hXM4K+zY7HG/oXZLEfC+9NzguIsHx2UwTtJE0IW0aknWt0uHAbDN7d523OgJfpr2eFcxzrkiyZD4Lb+hdsuQ0xmcznAibej/J2EWj5vhsZgvMrE/Oq5SaAVcCA+rY4rqslnnORSN75ttImpD2epiZDcu4yrSGXmvv8q+roZ9br5qdy1duY3xGZvampM61vFXT1D+VNm9NUw+MldRSUnszqzPz3uC4iERyhn1XYCugZrDvBEyS1JfUAL952rKdgDlhF+Bc3bJm3ht6V0ZyGuNL2tR7g+OiIaBhuGfRm9n7QNs1m5BmAn3MbIGkp4FzJY0EdgOWZOrsnQtd+Jn3ht7FV255L2lT7+fguOgUeIa9pIeBMUB3SbMknZ5h8eeBGcB04C7gV2F8BOfqJcQrSszsfTNra2adzawzqaamt5l9BTwN/Dw48bIf3tC7Ugj/Kqr0pn4mPzb1m5FHU+97cFxEFMbx2eOzvN857WcDzilog84VpLDMBw39fqR2688Crjazu+tY/HngYFIN/XLgtLw37FxeCh/j1xX2XnpvcFx0Yn6XS+dCV0DmvaF3iVPgGB91U+8NjouGwu/unYs1z7yrJCHkPeqmviK/YktqKukZSUskPVbAek6U9J8waysVSXtLmhrySmN9l8tK4plfX9Ez74rG876+ShzjY93gSDohuAHcd5LmSnpB0l4hrPoooB2wiZm06ndnAAAgAElEQVQdne9KzOxBM6vtbO9YCe4GuXWmZcxslJl1D3GrsX9OSRx55sMRy8y79XjewxHLvMcg87FtcCRdBNwM/DepoG4B/A+pm/0UaktgmplVhbCuxJMU/qFKEcZdLiuKZ754SpJ5txbPe/FU6hhf+gpqIeknwHXAOWb2hJktM7NVZvaMmV0aLNNE0s2S5gTTzZKaBO/tF1xWfHHwnIu5kk4L3rsW+B1wbPCt4XRJ10h6IG37nYOOuFHw+lRJMyQtlfSZpBPT5r+V9nt7SBof7BYdL2mPtPdel/R7SaOD9fxHwTM2avn8NfX/Jq3+wZIOljRN0iJJV6Qt31fSGEmLg2Vvk9Q4eO/NYLF3g897bNr6h0r6Cri3Zl7wO12DbfQOXneQtEDSfvX4rxj77j5OPPMVkHm3hue9AvIeg8zHssEBdgc2BJ7MsMyVQD+gF9AT6Atclfb+ZsBPSN3p8HTgdkmtzOxqUt8YHjGz5hnO2AZA0kbArcAgM2sB7AG8U8tyrYHngmU3Af4GPCdpk7TFTiB15ndboDFwSYZNb0bq30FHUn9Z7wJOAnYB9gZ+J6lLsGw1cCHQhtS/u/4E94Exs32CZXoGn/eRtPW3JvVNZ61nQJnZp8BQ4EGlbrx0LzDczF7PUO/6Yt7dx4xnvtwz79J53ss97zHIfOkrqN0mpO6AmGn34onAdWY2z8zmA9cCJ6e9vyp4f5WZPQ98B+R7/HE1sIOkpmY218w+rGWZQ4BPzOx+M6sys4eBj4HD0pa518ymmdkK4FFSf3Hrsgr4o5mtAkaSCvYtZrY02P6HwE4AZjbRzMYG250J/APYN4fPdLWZ/RDUsxYzuwv4BBgHtCc12ORO8e/uY8YzX+6Zd+k87+We9xhkPq4NzkJS18VnOm7YAfg87fXnwbw161jnL89yoHl9CzGzZcCxwFnAXEnPSeqRQz01NaU/0fqretSz0Myqg59rwvl12vsran5f0jaSnpX0laRvSX17qXXXaJr5ZvZ9lmXuAnYA/m5mP2RZdn0xP8M+Zjzz5Z55l87zXu55j0Hm49rgjAG+BwZnWGYOqV1vNbYg/2exLAOapb3eLP1NM3vJzA4k1eV+TCoU2eqpqWl2njXVxx2k6upmZhsDV0Ctz+1Il/EZHpKakzoB8G7gmmD3bM4ENGjQIOPk1uKZr5/EZd6txfNeP4nLexwyX/oKamFmS0gdk7w9OPGqmaQNJA2S9OdgsYeBqyRtGpzI9TvggbrWmcU7wD6StghOfru85g1J7SQdHhyn/YHUbtDqWtbxPLCNUpc9NpJ0LLAd8GyeNdVHC+Bb4Lvgm8fZ67z/NdBlvd/K7BZgopn9ktRx5zvr9dvKYXJreObrLXmZd2t43usteXmPQeZj2eAAmNnfgItInVQ2n9Rj0s8F/h0s8gdgAvAe8D4wKZiXz7ZeBh4J1jWRtQPbALiYVPe+iNRxz/Ue5GhmC4FDg2UXAr8BDjWzBfnUVE+XkDq5bSmpbx6PrPP+NcCI4Az8Y7KtTNIRwEBSu2wh9d+ht4IrC3Kj2Hf3ceOZr5fEZd6tzfNeL4nLexwyL7OMe7Gcy0vD1lvZRgOuzbjM0kdOmWhmfYpUknORypZ5z7srJ0kY4/1ZVC4aAjWIwT5K54rFM+8qSQLy7g2Oi4QQisFZ9M4Vi2feVZIk5L30B8lc2Sr0+Kyke5S6y+cHafNulPSxpPckPSmpZdp7l0uaLmmqpIMi+ljO1cnz7ipJ3M/BKX0FrmxJyjjlYDipE+HSvQzsYGY7AdMIroaQtB1wHLB98Dv/I6n0d5pyFcXz7ipJoWN81E19rA5RqVFTU+MWpS4jdDtvu0WpS4jE55/PZMGCBbWnOITjs2b2pqTO68z7T9rLsaSeGgypB/SNDG5W9Zmk6aRu7T6moCIi5HlPnkmTJi4ws01rfbPAzHvek8nzXpDhwG3AfWnzXgYuN7MqSX8i1dQPXaep7wC8ImmbtJslrideDU7jFjTpnvUKt8QZPe62UpcQiT13q/vk+ByPz7aRNCHt9TAzG1aPEn7Bj5dLdiT1P4Aas1j7DqOx43lPnqYbaN072a5RhHMSPO8x5HnPX9RNfawaHFdecujuF+R7CaGkK4Eq4MGaWbUs5vdAcEWVJfN5N/SedxdHOYzxJf0S6w2Oi4aI7NuspFNI3XCrv/14I6dZwOZpi3Ui/9u6O1d/2TOfV0PveXexlNsYX9IvsX6SsYtMFGfYSxoIDAUON7PlaW89DRwnqYmkrYBuwNsFfwjn6sHz7ipJVFdRpTX1JxbS1PseHBeJMI7PSnoY2I/Ubs5ZwNWkTjhrArwcrH+smZ1lZh9KehT4iFTXf06mk8+cC1uhmfe8uySJ6pyztKZ+31qa+ock/Y3UScZZm3pvcFw0wrmK6vhaZt+dYfk/An8saKPO5avwq6g87y45Qhjjo27qvcFxkYn7XS6dC5tn3lWSEK6iirSp9wbHRSbuzylxLmyeeVdJ4p53b3BcZPzbrKs0nnlXSeKed29wXCQkxeJZJM4Vi2feVZIk5N0bHBeZuHf3zoXNM+8qSdzz7g2Oi0zcj886FzbPvKskcc+7NzguGhHeydi5WPLMu0qSgLx7g+MiIUSDmHf3zoXJM+8qSRLy7g2Oi0zMm3vnQueZd5Uk7nn3BsdFQ8S+u3cuVJ55V0kSkHdvcFwkRPzD71yYPPOukiQh797guMjEPfzOhc0z7ypJ3PPuDY6LhuJ/fNa5UHnmXSVJQN7jfRvCPN159Yl8/ur1THjsivXeu+Dk/qyYfBubtNwIgAt/3p+xIy9j7MjLmPDYFXw34VZabdys2CUX7Msvv+SgA35Krx23pXfP7bnt1ltKWk/qDPsGGScXnvpkfuPmG/L4zWcy7pHLmPj4lZx8eL9ilxuKM3/5C7bo0JZdeu1Q6lKA7Jl34alP3lu2aMojfz2Dtx+5nFH3X8J2XdsXu9xQ/OelF9lp++5s32NrbvzzDaUuJxFjfOkriMD9z4zliHNuX29+p3Yt2b9fD76Yu2jNvJvue5V+x91Av+Nu4Hd/f5pREz/hm2+XF7PcUDRq1Igb/vxX3nl/Cm+8NZZ/3Hk7Uz76qKQ1SZmn7L+veyTNk/RB2rzWkl6W9EnwZ6tgviTdKmm6pPck9Y7uk8VPfTJ/5jH78PGMr9jt2Bs46IxbuOGiI9mgUcNilhuKk085laeefbHUZaylkLy73NUn7785/SDenTqLvsdez+m/vZ+/XHpUMUsNRXV1NRf8+hyeeuYFJr/3EY+NfLjk4zsUPsZHrSwbnNGTPmXRkvWblD9f8jOuvOXfmFmtv3fMwD48+uLEqMuLRPv27dm5d+r/6S1atKBHj22ZM2d26QoKzrDPNOVgODBwnXmXAa+aWTfg1eA1wCCgWzANAe4I5XMkRH0yb0DzjZoAsFHTJnyzZDlV1auLVWpo9tp7H1q3bl3qMn6UJfNZf90b+pzVJ+89umzG629PBWDazK/ZskNr2rZuUbRawzD+7bfp2nVrturShcaNG3P0scfx7DNPlbaoEMb4qDNflg1ObQ7Zd0fmzFvM+9Nq/59+0w034MA9tuXfr75T5MrC9/nMmbzzzmR27btbyWoQqbtcZpqyMbM3gUXrzD4CGBH8PAIYnDb/PksZC7SUlMx90SGpK/N3jnyDHlttxoz//JEJj13BJTc+XmfT73KXLfM5GI439HmrK+/vT5vNEf17AdBn+y3Zon1rOrZrWYoS8zZnzmw6ddp8zeuOHTsxe3YJv8ASzhhPxJmPtMGRNFDS1KDjuiz7b0Sj6YYbMPT0g7jujufqXOaQfXZkzDszEnl4Kt13333H8cf8jBv/ejMbb7xxSWvJobtvI2lC2jQkh9W2M7O5AMGfbYP5HYEv05abFcwrmrjkHTJn/sA9tuW9qbPoMuBKdjvuem667GhabLRhCaosP4V8m01iQx+XzGfK+1/ufZmWLZoxduRlnH3cvrw7dVbi9ljW9gUkDo9JKHQPTtSZj+wqKkkNgduBA0n9z2a8pKfNrOgHDrt02pQtO27C249cDkDHti0Z89BQ9j75Rr5euBSAow/ahccSeniqxqpVqzj+mJ9x7PEnMvjI/yp1Obkcg11gZn3C2lwt84q2WyJOeYfMmT/58H789d6XAZjx5QJmzl5I987tmPDh56UotaxkyXwbSRPSXg8zs2FZVrlWQy8pW0M/t34V5y9Omc82xp95zQNrlv34uWuZOXthsUssSMeOnZg168f/3LNnz6JDhw4lrCglhzG+pJmP8jLxvsB0M5sBIGkkqQ6s6OH/cPoctux/+ZrXHz93LXue+GcWLl4GpK4q2WuXrTntyhF1rSL2zIyzzjid7j225fwLLyp1OSi6u1x+Lal9EPz2wLxg/ixg87TlOgFzoiigDrHJO2TO/JdffcN+fbszevKntG3dgm06t+Oz2QtKUWZZySHzZdPQB2KT+Ux5/0nzpiz/fiWrqqo57cg9eGvSdJYu+77YJRakz667Mn36J8z87DM6dOzIY4+MZPj9D5W0phzH+JJmPspDVDkdMpA0pOYQhVWtCGXDI64/lddHXMw2W7Zj+ou/55TBu2dc/vCf9uTVsR+z/PuVoWy/FP5v9GgeevB+3njtf9ltl17stksvXnzh+RJWlPnYbAG7V58GTgl+PgV4Km3+z4MT0foBS2q+BRRJyfIO9cv8DXe9SL+eWzH+0St4/h/nceUtT61p9pPk5ycdz3577860qVPp2rkTw++5u8QVRZL3r2t2w8esoYccMh+HvPfoshmT/nUl7zxxFQftuR2X/Pnx0OoolkaNGnHTLbdx2CEH0WvHbfnZ0cew3fbbl7iqyMb40DIf5R6cnLqtYHfVMIAGzdqG8g3klMuHZ3y/xyFXr/X6gWfG8cAz48LYdMnsudderFgVrxNFC92DI+lhYD9SuzlnAVcDNwCPSjod+AI4Olj8eeBgYDqwHDitoI3nUW4t84qSd6hf5ufOX8Jhv1r/Etukue+Bh0tdwnoi2GtZ09DfwPoN/bnBXpPdKH5DDzlkPg55H/feZ+x4xHVhbbpkBg46mIGDDi51GWuJaC99aJmPssGJwzcMVyoh3AfBzI6v463+tSxrwDmFbbEgnvdKV2DmE9bQg2e+soUwxked+SgbnPFAN0lbAbOB44ATItyei5HUg9gq5i4E4HmveIVmPmENPXjmK1oYY3zUma+zwZGU8RpjM/s2y/tVks4FXgIaAveY2Yf1Kc4lWwyuYqyXQjLveXeQrMz7GO8KFfe8Z9qD8yGp46npH6HmtQFbZFu5mT1PareSqzTRXUUVpYIy73mvcMnLvI/xLn8JyHudDY6ZbV7Xe85lIwo6i74kPPOuEEnLvOfdFSIJec/pAJqk4yRdEfzcSdIu0ZblykHDBso4xZln3uXD8+4qSdzH+KwNjqTbgJ8CJwezlgN3RlmUKw9xf9JsXTzzLl+ed1dJ4j7G53IV1R5m1lvSZAAzWySpccR1uYSTiEUHnyfPvKu3BGfe8+7qLQl5z6XBWSWpAcENnCRtAiTrSWWuJOJ+fDYDz7zLS0Iz73l3eYl73nM5B+d24F/AppKuBd4C/hRpVS7xBDSQMk4x5pl39ZYt8zHmeXf1loQxPuseHDO7T9JE4IBg1tFm9kG0ZblyEPO9l3XyzLt8JTHznneXr7jnPdc7GTcEVpHahVlRt6d1eZJif4+ELDzzrn6SnXnPu6ufBOQ9l6uorgQeBjqQetbIQ5Iuz/xbrtIlYfdlXTzzLh9JPUTleXf5SMIYn8senJOAXcxsOYCkPwITgeujLMwlX9y7+ww88y4vCc28593lJe55z6XB+Xyd5RoBM6Ipx5WLuNwHIU+eeVdvCc68593VWxLynulhmzeROh67HPhQ0kvB6wGkzrJ3LqOGcU//OjzzrlBJyrzn3RUq7nnPtAen5iz6D4Hn0uaPja4cV04KvUeCpAuBX5IadN8HTgPaAyOB1sAk4GQzW1lYpWt45l1BEpZ5z7srSNzznulhm3fns0LnIBX8Qu5yKakj8GtgOzNbIelR4DjgYOAmMxsp6U7gdOCOMGr2zLtCJC3znndXiCTkPZerqLpKGinpPUnTaqZ8NuYqSwjPKWkENJXUCGgGzAX2Bx4P3h8BDA6/bs+8y08Iz+UpeuY97y5fcR/jc7nfwXDgXlJXhQ0CHiW1+8i5OomcnjTbRtKEtGlIze+b2WzgL8AXpEK/hNSVHYvNrCpYbBbQMYLyh+OZd/WULfNkyDuUNPPD8by7ekrCGJ/LVVTNzOwlSX8xs0+BqySNyneDrnLkcHx2gZn1qeN3WwFHAFsBi4HHSA2+67JCaqyDZ97lJUvm68x78Lulyrzn3eUl7mN8Lg3OD0p9ik8lnQXMBtrmu0FXGaSCz7A/APjMzOan1qcngD2AlpIaBR1+J2BOwcWuzzPv6i3Bmfe8u3pLQt5zOUR1IdCc1MlAewJnAL/Id4OuchR4fPYLoJ+kZsHg2x/4CHgNOCpY5hTgqQhK98y7vBR4PkKpMu95d3mJ+xify8M2xwU/LgVOzndDrvIUcpdLMxsn6XFSlwlWAZOBYaQuZx0p6Q/BvNCvBPHMu3wlMfOed5evuOc9043+niTDsS8z+698N+rKnyj8WSRmdjVw9TqzZwB9C1pxHTzzrhBJy7zn3RUiCXnPtAfntjA2UB/bduvEo8/eUOzNRq7TGeV5QcLizxfV/abi/5ySWhQ18z26duS+J/5YzE0WRfeLnil1CaWRvMwXNe+bb7EZQ2+/pJibLIqj7xlf6hJKIwF5z3Sjv1eLWYgrP7mc4BUnnnlXqCRl3vPuChX3vOdyFZVz9VZzjwTnKoVn3lWSJOTdGxwXmZhn37nQeeZdJYl73nNucCQ1MbMfoizGlQ8p/t19Np55Vx9Jz7zn3dVHEvKey7Oo+kp6H/gkeN1T0t8jr8wlXgjPKSkJz7zLl+fdVZK4j/G5nCN0K3AosBDAzN4FfhplUS75BDSSMk4x5pl39ZYt8zHmeXf1loQxPpdDVA3M7PN1njlRHVE9rozEIN/58sy7vCQ08553l5e45z2XBudLSX0Bk9QQOA+YFm1ZLukkxf74bAaeeVdvCc68593VWxLynkuDczapXZhbAF8DrwTznMso5tnPxDPv8pLQzHveXV7invdcnkU1DziuCLW4MpKEeyTUxTPv8pHUzHveXT6SkPesDY6ku6jleSVmNiSSilx5UPy7+7p45l1eEpp5z7vLSwLynsshqlfSft4QOBL4MppyXLkQ0DDuZ6DVzTPv6i3Bmfe8u3pLQt5zOUT1SPprSfcDL0dWkSsbce/u6+KZd/lKYuY97y5fcc97Ps/K2grYMuxCXHmpOT6bacq6DqmlpMclfSxpiqTdJbWW9LKkT4I/W0X/aTzzLrtsmc9pHfHIvOfdZZWEMT6XOxl/I2lRMC0m1dlfke8GXYXIcofLHPds3gK8aGY9gJ7AFOAy4FUz6wa8GrwOt3TPvMtHOHd1LXrmPe8uLwkY4zMeolLqzk89gdnBrNVmtt7JaM6tS0CjAvZfStoY2Ac4FcDMVgIrJR0B7BcsNgJ4HRiaf6Xrbdcz7/KSxMx73l2+kpD3jHtwgqA/aWbVweTBdzkrsLvvAswH7pU0WdI/JW0EtDOzuQDBn23DrNkz7wqRJe9tJE1Im9a9Sqnomfe8u0LkMMZnynzkec/lKqq3JfU2s0n5bsRVHqFczrBvI2lC2uthZjYs+LkR0Bs4z8zGSbqFCA5H1cEz7+oth8wvMLM+Gd4vVeY9767echzjM2U+8rzX2eBIamRmVcBewBmSPgWWkdozZWbWO8xCXJnJ7R4JmcI/C5hlZuOC14+TCv/Xktqb2VxJ7YF5odSLZ94VqPD7ghQ18553V5AE5D3THpy3SXVXg/NdeRzMnTOLK84fwoL5X9OgQQOOOuE0Tv7lr7j47FOY+eknACz9dgktNv4J//rP/5W42uxu+UVfBvTswIJvv2fv374IwDXH9OSgXh1ZWbWamfO+47y7x/HtilUAnH/Itpy4dxdWrzYuf2gSr33wVVHqLPQul2b2laQvJXU3s6lAf+CjYDoFuCH486kQyq1RFpn/4YfvGXLswaxa+QNV1dX0H3g4Z1744zmjN15zKc88/hBvfjA7w1ri4cYTerL/9u1YuPQHBtzwBgAH92rPhYO6s3W75hz+11G8/+USAHpu0ZLrj9sJSO0ev/mFabz0XnHyDonMfFnkHeC3P9uLDZs1Rw0a0LBhI4be8zSzPvmIkTdexQ8rltO6fUdOvfpmmm7UotSl1ssRO7ZjQPdNMYyZi1ZwyxufsW275vyi3+YI8X1VNTe//hlzv/2h6LUlIe+ZGhwFRXya78rjoFHDRlz6u/9mux17sey7pRwzaG/22Gd//nrHiDXL3Hjd5TRv8ZMSVpm7kW99xt2vfsLtv9xtzbzXP/ya3z/+HtWrjd8d3ZMLDt2O6x57l206bMyRfbdgr6teYLOWTfnXpT9lt8ueY3WRDrM3KPwmUOcBD0pqDMwATiN13tijkk4HvgCOLnQjacoi840bN+GOB5+m2UbNqVq1il8eM5A99juQHXfelY/em8zSb5eUusScPTbuS0a8OZO/ndRrzbxpc5dy5t3j+e9jd1pr2alzl3LYX0ZRvdpou3ETXhi6L6988DXVq4t3WknCMl8Wea9x/t8fonnL1mteP3jD5fzXuZfTbed+/N+zj/LKg8M4bMjFJaywflo324DDtm/Hrx57n5XVxtD+Xdmna2uO7tWBP/znE2Yt/p6Dt9uUY3fuwM1vfFaSGuOe90wNzqaSLqrrTTP7W74bLaZN223Gpu02A2Cj5i3o0q07X381h67b9ADAzHjxmSe555FnS1lmzsZMm8/mm2y01rzXP/zxW+qETxdweJ/NARi0c0eefPsLVlat5osFy/hs3lJ6d2nNhE8XRl5n6i6Xha3DzN4BajuE1b+wNdepLDIviWYbNQegqmoVVVWrkER1dTW33vBb/nDzP3n9P8+VuMrcvP3pIjq1brrWvOlff1frst+vql7zc5NGDSj26bIJzHxZ5L0u876Ywda9Ul8Et911L2676JRENTgADRqIxo0aULW6miaNGrBo2SoMo9kGDQFo1rgRC5evLEltSch7pganIdCcoMsvB7O//JwpH7zHTjv/+O9z4rjRbLJpW7bssnUJKwvPiXt34d9vfwFA+1ZNmZjWzMxZtIL2rZrW9avhUup/tAlTNpmvrq7m5MP3Zdbnn3H0Sb9kh159ePjeO9in/yDatN2s1OVFpteWLbnxhF50bN2UC++fXNS9NwnMfNnkXRK3XfhzkNjriOPZ64gTaN9lG95762V67j2ASa89zzdfzy11mfWyaPkqnnzvK+45oScrq1Yzeda3TJ79LX9/cyZXD9qGlVWrWb6qmkv+/VFpCkxA3jM1OHPN7Lp8VyzpHuBQYJ6Z7ZDvesKyfNl3XDjkJIZecwPNW2y8Zv7zTz3OwUccVcLKwnPhodtRVW08NuZzIHWW+7qK9a02Cc8pqUXZZL5hw4Y89NxbLP12MZeedRKT3h7Nq88/xZ0PJ2NPZb7e+XwxB17/Olu3a85fT+rF6x/N44eq1UXZdgIzXzZ5v+iOx2m5aTuWfrOAv19wMu227MpJV/yZx266hhfu/Ts77nUAjTbYoJQl1ttGjRuy25Yt+eXD77Hsh2ouO7Ar+229Cbtv1YprX5jGtPnLOHKnzfjl7lvw9zdnFr2+JOQ9031wCq18ODCwwHWEYtWqVVww5CQOOfIYDjz4iDXzq6qqeOWFpxl42M9KWF04jt2zMwN6duCsYWPWzJvzzXI6tG625nWH1k35avGKotWkLFMMlU3ma7TYuCW77LYXE8eM4svPZ/BfP92Zw/feke9XLOfIn+5c6vIiM/3r71ixsppt2hf3pFLPe2m03LQdAC1ataHnPgfx+UfvstmWXTnv5vu57J5n6HPAYbTpuEWJq6yfXh035uulP/Dt91VUm/F/n33Dtps1Z6tNmjJt/jIA3vp0ET3aNS9ZjXEf4zM1OAUdAzOzN4FFhawjDGbG7y45hy5bd+eUIeet9d7YUa/Rpes2bNahY4mqC8f+O2zGrwdty0m3jmLFyh/PQ3hx8myO7LsFjRs1YIs2G9GlbQsmzSjWfxLRoEHmKYbKIvPfLFzA0m8XA/D99yt4e/Qb9NihFy+9PY2nR73P06PeZ8OmzXjytcklrjRcm7duuuaqjo6tmtKlbXNmLSpeQ58t8zFUFnn/YcVyvl/23Zqfp7w9ivZdurP0mwUArF69mhdH3MZeg08sZZn1Nv+7lfRo25wmDVP/m+7ZcWO+/GYFGzVuSIefNAGgV6eNmVXEL61ri/8YX+chKjMreXDDMHn8GJ7518N067E9PxuwBwDnD72affofxAtPP86gwWFehBO9YWfuzp492tK6eRPe++vh/OnfH3D+IdvSZIOGPH7JfgBM/HQhl9w3galzvuWp8V8y+o8HU129mqEPTCzaFVQivye5llK5ZH7BvK+45tKzWV1dzWozDjh4MHv3j8UX7Xq79ZTe7L71JrRq3pix1x3ATc9PZfHyVVx71A60bt6Ye8/cjY9mL+Hnd4yjT9dN+NUBW7OqejVmcNWj7/PNsuKdgJm0zJdL3pcuWsCwK84EoLqqml0HHM72/fbltUfv5c0n7gOg574D2f2QZI310+YvY/Rni7j5Z9tRvdqYsXA5L06Zz4JlK7n8wK0xg+9+qOKWN2aWpL4k5D2XOxlHKrh18xCA9h03D339vfvuwQezltb63h9v+kfo24vakH+MWW/eg6Nm1Ln8Tc9+xE3PluYktBAuISw76XnfrEP4eQfotu0OPPjsqIzLJOEeOAC/HlH7zXVru7/Nk+Nn8eT4WVGXlJFnfm3peW/drkMk22jTcQuuGPHCevN/esxp/PSY0yLZZrE8NMWf2NAAAAv5SURBVHEOD02cs9a8sTMXM3bm4hJVtLa4573kDZiZDTOzPmbWp9UmbUpdjgtLcIZ9pqkSrZX31puUuhwXpiyZr0TpeW/e0vNeVhIwxpd8D44rT0k4w965MHnmXSVJQt4j24Mj6WFgDNBd0qzgroSugsT9DPuweead591VkriP8ZHtwTGz46Nat4u/JHT3YfPMV7ZKy7znvbIlIe9+iMpFJubZdy50nnlXSeKed29wXEQU+zPsnQuXZ95Vkvjn3RscF4nUPRLiHX7nwuSZd5UkCXn3BsdFQ9Cg5DchcK6IPPOukiQg7zEvzyWZsvzjXLkJI++SGkqaLOnZ4PVWksZJ+kTSI5IaR/YBnKuHMMb4KPPuDY6LRM0Z9pmmnNbjg71LiGyZr4fzgSlpr/8E3GRm3YBvAL8c25VcWGM8EebdGxwXGSnzlCMf7F1iFJp3SZ2AQ4B/Bq8F7A88HiwyAhgcfuXO1V+hY3zUefcGx0UijO7eB3uXJCHtwbkZ+A2wOni9CbDYzKqC17OAjqEW7lwechzj20iakDYNWWc1kebdTzJ2EcnpGGwbSRPSXg8zs2Fpr2vC3yJ47YO9i7Gsmc+Yd0mHAvPMbKKk/dasdH1WcKnOFSynMX6BmfWp9beLkHdvcFw0BA2yf2ktafidC1X2zNeZ98CewOGSDgY2BDYm1eS3lNQoaOw7AXMyrMO54shtjM8k8rz7ISoXCQENpIxTFjXhnwmMJHVoak34g2V8sHexkS3z2ZjZ5WbWycw6A8cB/2tmJwKvAUcFi50CPBXRR3AuZ4WO8cXIuzc4LjKFnIDmg71LohBOqq/NUOAiSdNJHaa9O4xanStUSBeSrCu0vPshKheZiO51MxQYKekPwGR8sHcxElbmzex14PXg5xlA31BW7FyI4p53b3BcZAo8PruGD/YuKcLKvHNJEPe8e4PjohPz8DsXOs+8qyQxz7s3OC4SErF/0qxzYfLMu0qShLx7g+MiE+/oOxc+z7yrJHHPuzc4LiJCMe/unQuXZ95Vkvjn3RscF5mYZ9+50HnmXSWJe969wXGREPEPv3Nh8sy7SpKEvHuD4yIT0X1wnIstz7yrJHHPuzc4LjJxv0eCc2HzzLtKEve8x6rB+ei9yQt26NTi8yJtrg2woEjbKqZifq4t63xHxP8U+xKb8sE7C3bt0tLzXjjPfAJ8MfX9BefsuVWx8g7lm3nPe45i1eCY2abF2pakCVme7JtIcflcNQ9ic3XzvIcjLp/NM59ZMfMO8clF2OLyuZKQ91g1OK68xDv6zoXPM+8qSdzz7g2Oi0zc75HgXNg8866SxD3vldzgDCt1ARGJzeeKefYrTWxyEYHYfDbPfKzEJhchi83ninveG5S6gFIxs9iEJExx+lxS5skVT5xyEbY4fTbPe3zEKRdhitPnKmSMl7S5pNckTZH0oaTzg/mtJb0s6ZPgz1b51lexDY6LVuoE+8z/ZPz9IoTfuTBly3zW3/fMuwQpdIwHqoCLzWxboB9wjqTtgMuAV82sG/Bq8Dov3uC4aCh1j4RMUxaRh9+5UBWWd/DMuyQpcIw3s7lmNin4eSkwBegIHAGMCBYbAQzOt8SKa3AkDZQ0VdJ0SWUzUEi6R9I8SR+UupY1lGXKoBjhrxSe+SLKM+/gmQ+L572Iso/xbSRNSJuG1LoaqTOwMzAOaGdmcyH1dwJom295FdXgSGoI3A4MArYDjg++IZWD4cDAUhfxI9FAmaec1xRR+CuBZ76YsuY9p8EePPP58rwXU05j/AIz65M2rXf+kKTmwL+AC8zs2zArrLSrqPoC081sBoCkkaS+HX1U0qpCYGZvBoNiLOT4pbWNpAlpr4et+xdg3fDH/bLEGPLMF0kOmV+Qyw3aPPMF8bwXSRg3Mpa0AamsP2hmTwSzv5bU3szmSmoPzMt3/ZXW4HQEvkx7PQvYrUS1lL0cBuaMA37U4a8QnvkiKrQZ8cwXzPNeRIXkXalfvhuYYmZ/S3vraeAU4Ibgz6fy3UZFHaKi9obTil5FhSjwEsJs4YcCw18hPPNFVMhl4p75UHjei6jAW4HsCZwM7C/pnWA6mFRjc6CkT4ADg9d5qbQ9OLOAzdNedwLmlKiW8pb7lSN1qQn/+5LeCeZdQSrsj0o6HfgCOLqgrZQ/z3yxeObjwPNeLAXm3czeou6jXP3zX/OPKq3BGQ90k7QVMBs4DjihtCWVs/zTX4zwVwjPfFF55kvM815U8T4/rKIOUZlZFXAu8BKpSzAfNbMPS1tVOCQ9DIwBukuaFXzbK109FHwfHBcCz3wR68HzXmqe9yLWQ/zH+Erbg4OZPQ88X+o6wmZmx5e6hnX5xR/x4JkvHs986Xneiyfuea+4BscVj1/e6iqNZ95Vkrjn3RscF5l4R9+58HnmXSWJe969wXGRkKjX3YqdSzrPvKskSci7NzguOvHOvnPh88y7ShLzvHuD4yITh7PonSsmz7yrJHHPe1leJi6pOrgr4geSHpPUrIB17Sfp2eDnwzM9nVZSS0m/ymMb10i6JNf56ywzXNJR9dhW5+I8jVZZ/3Hh8LxnXL5IeYdsmXfh8LxnXD42eY9D5suywQFWmFkvM9sBWAmclf6mUur92c3saTPLdNvolkC9/wKUI1Hwbbxd7jzvMZAt8y40nvcYSMIYX64NTrpRwNZBZztF0v8Ak4DNJQ2QNEbSpOCbQHMASQMlfSzpLeC/alYk6VRJtwU/t5P0pKR3g2kPUrdU7xp8u7gxWO5SSeMlvSfp2rR1XSlpqqRXgO7ZPoSkM4L1vCvpX+t8azlA0ihJ0yQdGizfUNKNads+s9B/kfUV9/CXKc97ifKeqsPzXmSe95jmPQ6ZL+sGR1IjYBDwfjCrO3Cfme0MLAOuAg4ws97ABOAiSRsCdwGHAXsDm9Wx+luBN8ysJ9Ab+BC4DPg0+HZxqaQBQDegL9AL2EXSPpJ2IXUL8Z1J/QXbNYeP84SZ7RpsbwqQfhfLzsC+wCHAncFnOB1YYma7Bus/Q6nblxdHcIZ9psmFy/NewrxD1sy7cHne4533OGS+XE8ybqofH1Y3itQTejsAn5vZ2GB+P2A7YLRS/yEak7oNdg/gMzP7BEDSA8CQWraxP/BzADOrBpZIarXOMgOCaXLwujmpvxAtgCfNbHmwjadz+Ew7SPoDqd2kzUndirzGo2a2GvhE0ozgMwwAdtKPx29/Emx7Wg7bKpiI/Qn25cTzXuK8g2e+iDzvnveclGuDs8LMeqXPCEK+LH0W8PK6t7+W1AuwkOoQcL2Z/WOdbVyQxzaGA4PN7F1JpwL7pb237ros2PZ5Zpb+FwVJneu53bwpBh18hfC8xyDvwfaKublK5Xn3vOekrA9RZTEW2FPS1gCSmknaBvgY2EpS12C5up7/8SpwdvC7DSVtDCwl1b3XeAn4Rdqx346S2gJvAkdKaiqpBandpdm0AOZK2gA4cZ33jpbUIKi5CzA12PbZwfJI2kbSRjlsJzRxPz5bYTzvReB5jw3PexEUOsYrdT7UVEnTleEKtnyV6x6crMxsftApPyypSTD7KjObJmkI8JykBcBbwA61rOJ8YJhST3StBs42szGSRit1md4LwXHabYExQaf7HXCSmU2S9AjwDvA5qd2s2fwWGBcs/z5r/0WbCrwBtAPOMrPvJf2T1LHbSUptfD4wOLd/O+HwQT0+PO/F4ZmPB897cRSSd0kNgduBA4FZwHhJT5vZR+FUBzILa2+dcz/qvUsfGz12QsZlmjXWRDPrU6SSnItUtsx73l05KXSMl7Q7cI2ZHRS8vhzAzK4Pq8aK3YPjojV50sSXmjVWmyyLLShKMc4VQQ6Z97y7spHjGL+hpPQuaJiZDQt+7gh8mfbeLGC3MGv0BsdFwswGlroG54rJM+8qSQh5r+0AV6iHlCr5JGPnnHPOlcYsYPO0152AOWFuwBsc55xzzhXbeKCbpK0kNSZ1c8Rc7hmUMz9E5ZxzzrmiMrMqSeeSuuS9IXCPmX0Y5jb8KirnnHPOlR0/ROWcc865suMNjnPOOefKjjc4zjnnnCs73uA455xzrux4g+Occ865suMNjnPOOefKjjc4zjnnnCs7/w/gg7H7L46sTwAAAABJRU5ErkJggg==\n", 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" ] @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -1098,7 +1098,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -1112,7 +1112,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1130,11 +1130,286 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ - "SMOTE" + "#初始化SMOTE 模型\n", + "oversampler=SMOTE(random_state=0)\n", + "\n", + "#使用SMOTE模型,创造新的数据集\n", + "os_features,os_labels=oversampler.fit_sample(features_train,labels_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=====正负样本数据量=======\n", + "0 199019\n", + "1 199019\n", + "dtype: int64\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Frequency')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "os_count_classes = pd.value_counts(os_labels, sort = True).sort_index()\n", + "print(\"=====正负样本数据量=======\")\n", + "print(os_count_classes)\n", + "\n", + "os_count_classes.plot(kind = \"bar\")\n", + "\n", + "plt.title(\"Fraud class histogram\")\n", + "plt.xlabel(\"Class\")\n", + "plt.ylabel(\"Frequency\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "此时数据量已完全一致,我们跑下模型" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-------------------------------------------\n", + "正则化惩罚力度: 0.01\n", + "-------------------------------------------\n", + "Iteration 0 : 召回率 = 1.0\n", + "Iteration 1 : 召回率 = 1.0\n", + "Iteration 2 : 召回率 = 1.0\n", + "Iteration 3 : 召回率 = 1.0\n", + "Iteration 4 : 召回率 = 1.0\n", + "\n", + "平均召回率 1.0\n", + "\n", + "-------------------------------------------\n", + "正则化惩罚力度: 0.1\n", + "-------------------------------------------\n", + "Iteration 0 : 召回率 = 1.0\n", + "Iteration 1 : 召回率 = 1.0\n", + "Iteration 2 : 召回率 = 1.0\n", + "Iteration 3 : 召回率 = 1.0\n", + "Iteration 4 : 召回率 = 1.0\n", + "\n", + "平均召回率 1.0\n", + "\n", + "-------------------------------------------\n", + "正则化惩罚力度: 1\n", + "-------------------------------------------\n", + "Iteration 0 : 召回率 = 1.0\n", + "Iteration 1 : 召回率 = 1.0\n", + "Iteration 2 : 召回率 = 1.0\n", + "Iteration 3 : 召回率 = 1.0\n", + "Iteration 4 : 召回率 = 1.0\n", + "\n", + "平均召回率 1.0\n", + "\n", + "-------------------------------------------\n", + "正则化惩罚力度: 10\n", + "-------------------------------------------\n", + "Iteration 0 : 召回率 = 1.0\n", + "Iteration 1 : 召回率 = 1.0\n", + "Iteration 2 : 召回率 = 1.0\n", + "Iteration 3 : 召回率 = 1.0\n", + "Iteration 4 : 召回率 = 1.0\n", + "\n", + "平均召回率 1.0\n", + "\n", + "-------------------------------------------\n", + "正则化惩罚力度: 100\n", + "-------------------------------------------\n", + "Iteration 0 : 召回率 = 1.0\n", + "Iteration 1 : 召回率 = 1.0\n", + "Iteration 2 : 召回率 = 1.0\n", + "Iteration 3 : 召回率 = 1.0\n", + "Iteration 4 : 召回率 = 1.0\n", + "\n", + "平均召回率 1.0\n", + "\n", + "***********************************\n", + "效果最好的模型所选参数 = 0.01\n", + "***********************************\n" + ] + } + ], + "source": [ + "os_features = pd.DataFrame(os_features)\n", + "os_labels = pd.DataFrame(os_labels)\n", + "best_c = printing_Kfold_scores(os_features,os_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "召回率: 1.0\n", + "精确率: 0.9735099337748344\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "lr = LogisticRegression(C = best_c, penalty = 'l1')\n", + "lr.fit(os_features,os_labels.values.ravel())\n", + "# 代码和上面大致相同,唯一不同的,是这里我们使用的是真实比例\n", + "y_pred = lr.predict(features_test.values)\n", + " \n", + "cnf_matrix = confusion_matrix(labels_test,y_pred)\n", + "np.set_printoptions(precision=2)\n", + " \n", + "print(\"召回率: \", cnf_matrix[1,1]/(cnf_matrix[1,0]+cnf_matrix[1,1]))\n", + "print(\"精确率: \", cnf_matrix[1,1]/(cnf_matrix[0,1]+cnf_matrix[1,1]))\n", + " \n", + "class_names = [0,1]\n", + "plt.figure()\n", + "plot_confusion_matrix(cnf_matrix\n", + " , classes=class_names\n", + " , title='Confusion matrix')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "结果可以说是非常好,我们再试下不同阈值的结果" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "指定的阈值为: 0.1 时,测试集的召回率: 1.00 精确率: 0.936\n", + "指定的阈值为: 0.2 时,测试集的召回率: 1.00 精确率: 0.955\n", + "指定的阈值为: 0.3 时,测试集的召回率: 1.00 精确率: 0.961\n", + "指定的阈值为: 0.4 时,测试集的召回率: 1.00 精确率: 0.967\n", + "指定的阈值为: 0.5 时,测试集的召回率: 1.00 精确率: 0.987\n", + "指定的阈值为: 0.6 时,测试集的召回率: 1.00 精确率: 0.993\n", + "指定的阈值为: 0.7 时,测试集的召回率: 1.00 精确率: 1.000\n", + "指定的阈值为: 0.8 时,测试集的召回率: 1.00 精确率: 1.000\n", + "指定的阈值为: 0.9 时,测试集的召回率: 1.00 精确率: 1.000\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# 试下不同阈值的结果\n", + "lr = LogisticRegression(C = best_c, penalty='l1')\n", + "\n", + "lr.fit(os_features, os_labels.values.ravel())\n", + "y_pred_over_proba = np.array(lr.predict_proba(features_test.values))\n", + "\n", + "\n", + "thresholds = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n", + "plt.figure(figsize=(8,8))\n", + "j = 1\n", + "\n", + "# 用混淆矩阵来展示图形化结果\n", + "for i in thresholds:\n", + " y_test_predictions_high_recall = y_pred_over_proba[:, 1] > i\n", + " \n", + " plt.subplot(3, 3, j)\n", + " j += 1\n", + " \n", + " cnf_matrix = confusion_matrix(labels_test,y_test_predictions_high_recall)\n", + " np.set_printoptions(precision=2)\n", + "\n", + " print(\"指定的阈值为: \",i,\"时,测试集的召回率:\", '{0:.2f}'.format(cnf_matrix[1,1]/(cnf_matrix[1,0]+cnf_matrix[1,1]))\n", + " ,\"精确率:\", '{0:.3f}'.format(cnf_matrix[1,1]/(cnf_matrix[0,1]+cnf_matrix[1,1])))\n", + " \n", + " class_names = [0,1]\n", + " plot_confusion_matrix(cnf_matrix\n", + " , classes=class_names\n", + " , title='Confusion matrix')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "此时当阈值越高,召回率没影响而精确率提升,我们可以选择更高的阈值。" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 项目总结\n", + " (1) 在项目中,我们发现了样本不均衡问题,并指定了相应的解决方案。\n", + " (2) 这里提出的两种方法,下采样和过采样,通过实验比对,找到合适的那个。\n", + " (3) 在建模时,我们使用各种预处理方法,如这里的数据标准化,甚至还有缺失值填充等。\n", + " (4) 选择合适的评估方法,再进行建模。建模得到我们预期的结果,并根据评估方法来评价模型。\n", + " (5) 这里选择的算法是逻辑回归,逻辑回归也是简单模型的代表,在工业界也常被使用。\n", + " (6) 模型训练后进行适当的调优也是非常必要的,如前面的下采样时。最终选择最优的参数。\n", + " (7) 得到的结果和实际任务结合,并确保效果偏差小。" ] } ], diff --git a/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/逻辑回归-信用卡欺诈检测.ipynb b/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/逻辑回归-信用卡欺诈检测.ipynb index fc128bb..ec57523 100644 --- a/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/逻辑回归-信用卡欺诈检测.ipynb +++ b/机器学习竞赛实战_优胜解决方案/信用卡欺诈检测/逻辑回归-信用卡欺诈检测.ipynb @@ -803,11 +803,11 @@ "-------------------------------------------\n", "Iteration 0 : 召回率 = 0.8493150684931506\n", "Iteration 1 : 召回率 = 0.863013698630137\n", - "Iteration 2 : 召回率 = 0.9152542372881356\n", - "Iteration 3 : 召回率 = 0.9324324324324325\n", - "Iteration 4 : 召回率 = 0.8939393939393939\n", + "Iteration 2 : 召回率 = 0.9322033898305084\n", + "Iteration 3 : 召回率 = 0.9459459459459459\n", + "Iteration 4 : 召回率 = 0.9090909090909091\n", "\n", - "平均召回率 0.89079096615665\n", + "平均召回率 0.8999138023981302\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 1\n", @@ -824,23 +824,23 @@ "正则化惩罚力度: 10\n", "-------------------------------------------\n", "Iteration 0 : 召回率 = 0.863013698630137\n", - "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9661016949152542\n", + "Iteration 1 : 召回率 = 0.8767123287671232\n", + "Iteration 2 : 召回率 = 0.9830508474576272\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", - "Iteration 4 : 召回率 = 0.8939393939393939\n", + "Iteration 4 : 召回率 = 0.9090909090909091\n", "\n", - "平均召回率 0.9118823384669682\n", + "平均召回率 0.9155627459783485\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 100\n", "-------------------------------------------\n", - "Iteration 0 : 召回率 = 0.863013698630137\n", - "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9661016949152542\n", + "Iteration 0 : 召回率 = 0.8767123287671232\n", + "Iteration 1 : 召回率 = 0.8767123287671232\n", + "Iteration 2 : 召回率 = 0.9830508474576272\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 4 : 召回率 = 0.9393939393939394\n", "\n", - "平均召回率 0.9149126414972711\n", + "平均召回率 0.9243630780663519\n", "\n", "***********************************\n", "效果最好的模型所选参数 = 0.01\n", @@ -897,7 +897,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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5zyTqJWlixfvRETG65U1EvCbp/wGvAO8C95Dk1dsRsTjdbAbQu9qas4Tmy8tt1wxMr7ZDM7Nl8p+0PiciBqy8OfUAhgFbAG8DvwWGrGDTyNNppdZu2HFx2vBC4BlJd6fv9yM5gm5mtspqfBzo88A/ImJ20rb+AOwBrCepOR1t9gFer7aD1kaaLUfInwHuqFj/aLWdmZlVarkiqIZeAXaX1I1k93wQMBG4H/gqyRH0I4Bbq+2gtRt2XFtto2ZmWdXy5PaIeEzS70hOK1oM/A0YTTLwGyvpwnRd1fnW5pympK2Ai4DtgDUqitu62k7NzFrU+pz1iDgXOHe51dOBgbVoP8s5lzcA15P8tiHAOJIhrpnZKpGSk9uzLo0gS2h2i4i7ASLixYg4m+SuR2Zmq2y1u4wSeF/JpMOLko4HXgM2rG9ZZtZRlO2GHVlC8ztAd5JLky4C1gWOrmdRZtZxlCwzM92w47H05QL+fSNiM7NVJhpnrjKr1k5uv4VWzpqPiC/XpSIz6zgaaK4yq9ZGmpe3WxWpXbbpzYTxvqR9ddJjt5OKLsFq6P3nX615m6vNnGZE3NeehZhZx1S2e01mORBkZlYXdbiMsu4cmmZWqJJlZvbQlNQ1It6vZzFm1rEkJ62XKzWz3Ll9oKSngBfS9ztJ+nndKzOzDqFJ2ZdGkGUO9jJgKDAXICKewJdRmlmNrI6XUTZFxMvLDaGX1KkeM+tAksddNEgaZpQlNF+VNBAISZ2Ak4Gp9S3LzDqK1fGUoxNIdtE3A94E/pKuMzNbZSUbaGa69nwWyXODzcxqSg10n8yssty5/WpWcA16RIysS0Vm1qGULDMz7Z7/peL1GsBBQO0vQDWzDkdAc6OcS5RRlt3zmyvfS7oRuLduFZlZh7I6jjSXtwWwea0LMbMOqIFOWs8qy5zmW/x7TrMJmAecXs+izKzjUM2fR1lfrYZm+mygnUieCwSwNCJWemNiM7M8kpPbi64in1bPK00D8paIWJIuDkwzq6nV8drzv0rqX/dKzKxDkpR5aQStPSOoOSIWA58BjpP0IvAOyYg6IsJBamarpIy7563Naf4V6A8c2E61mFlH00B3L8qqtdAUQES82E61mFkHVOvLKCWtB1wD7EBy5s/RwPPAzUBf4CXgkIh4q5r2WwvNDSSdurIPI+Jn1XRoZtYieUZQzZu9FPhzRHxVUhegG3AmcF9EjJJ0Oslpk6dV03hrodkJ6A4lO4nKzEpENNUwYiStA+wFHAkQEYuARZKGAfukm40BHqAOoTkzIn5YTaNmZlmIms9pbgnMBq6XtBMwCfg2sFFEzASIiJmSNqy2g9YGxh5hmll95ThHMz3K3kvSxIpl+butNZMcwL4yInYhOeOnplcwtjbSHFTLjszMViTngaA5ETGglc9nADMi4rH0/e9IQvNNSRuno8yNgVnVVdvKSDMi5lXbqJlZFi2757V6sFpEvEHyiJ5t0lWDgL8DtwFHpOuOAG6ttuZq7nJkZlYzdbhz+8nAb9Ij59OBo0gGiOMkHQO8AhxcbeMOTTMrVK0zMyKmACvaha/JlKND08wKI1bPp1GamdWHaJgbcWTl0DSzQpUrMh2aZlYgAZ080jQzy65kmenQNLMiNc7NhbNyaJpZYXz03MwsJ480zcxyKFdkOjTNrEg+T9PMLDvPaZqZ5eSRpplZDuWKTIemmRXIVwSZmeVUssx0aJpZkYRKtoPu0DSzQnmkaWaWUXLKUblS06FpZsXJ+MC0RuLQNLNCOTTNzHLwgSBbqcsvu5Trr7uaiOCoo4/j5G//Z9ElWQZXnTuCIXvtwOx5Cxhw8I8AOOdb+zN07x1ZGsHseQsYee6vmTl7Put0X4PrLjyCTTfuQXOnTlzyq/u48bZHC/4FjUtAU7kys3SXfZbWM08/zfXXXc1D//tX/jrpCe6683amvfBC0WVZBjf+6VGGnXjFh9ZdPOY+Bn7tx+w+fBR3PfQ0Z4wcAsA3D9mL56a/wSe/NoovHHcpo049iM7NnYoouzSU43+NwKHZTp577lkGDtydbt260dzczJ577c2tt95SdFmWwYTJLzJv/sIPrVvwznvLXndbsysRAUAA3dfqCsBaa3blrfkLWbxkabvVWkZNUualEXj3vJ1sv/0OnHfOWcydO5c111yTP991J/13XdHz7K0szjvxS4wYOpD5/3qXwSMvA+CqsQ/yu0u+yfR7LmLttdbg8NOuWxao9lHePa8g6TpJsyQ9Xa8+yuQT227Ld793GkMH78sB+w9mxx13ornZ/80qs/Ou+BP9hvyAsXdN5Piv7QXAvntsy5PPz2DL/c7ik8N/zMWnH8zaa61RcKWNLM/OeWOkaz13z28ABtex/dI58uhjeOTxyfzl/vH06NmTj3+8X9ElWQ2Mu+txDhy0MwCHH7A7t/7PEwBMf3UOL702l236blRkeY0tPU8z69II6haaETEemFev9sto1qxZALzyyivc+sc/cMjwQwuuyKq11WYbLHu9/947MvWlNwF49Y232GfgNgBs2HNttu67Ef94bU4hNZaFciyNoPD9Q0kjgZEAm262WcHV1Nehh3yFefPm0rm5M5dcdgU9evQouiTLYMyPj2TPXfvRa73uTPvzBVxw1Z0M/sz29Nt8Q5YuDV6ZOY9TLhoLwKir/8zo8w/j8XFnIsFZl97K3LffKfgXNK5kTrP2cSipEzAReC0ihkraAhgL9AQmA4dHxKKq2q7nJLWkvsDtEbFDlu133XVATHhsYt3qsfbXY7eTii7Bauj958exdOGsmqXctv+xS1x/y/2Zt/9Uvx6TIqLNI6iSTgUGAOukoTkO+ENEjJV0FfBERFxZTc0+5cjMilXj/XNJfYD9gWvS9wI+B/wu3WQMcGC15Ra+e25mHVvOo+K9JFXujo6OiNHLbXMJ8H1g7fT9+sDbEbE4fT8D6F1NrVDH0JR0E7APyY+cAZwbEdfWqz8zK6ecU5pzWts9lzQUmBURkyTt07J6BZtWPS9Zt9CMCB8aNrM21fgw0KeBAyR9EVgDWIdk5LmepOZ0tNkHeL3aDjynaWaFEckjfLMubYmIMyKiT0T0BYYD/xMRI4D7ga+mmx0B3FptzQ5NMytO+53cfhpwqqRpJHOcVU8V+kCQmRWqXietR8QDwAPp6+nAwFq069A0s2I1yqU+GTk0zaxAjXMjjqwcmmZWqEa5EUdWDk0zK0wj3YgjK4emmRWrZKnp0DSzQnlO08wsB89pmpll1UB3ZM/KoWlmhfLuuZlZRsm150VXkY9D08wKVbLMdGiaWcFKlpoOTTMrlOc0zcxy8JymmVkOJctMh6aZFaxkqenQNLPCJDfsKFdqOjTNrDiCpnJlpkPTzArm0DQzy8p3bjczy8WnHJmZZeQ7t5uZ5VWy1HRomlmhPKdpZpaD5zTNzHIoWWY6NM2sQCV83EVT0QWYWUenHEsbLUmbSrpf0rOSnpH07XR9T0n3Snoh/bNHtdU6NM2sMCK5jDLrksFi4LsRsS2wO3CipO2A04H7IqIfcF/6vioOTTMrlJR9aUtEzIyIyenrBcCzQG9gGDAm3WwMcGC19XpO08wKlfOUo16SJla8Hx0Ro1fYrtQX2AV4DNgoImZCEqySNqyuWoemmRUt34GgORExoM0mpe7A74H/jIh/qoZHm7x7bmaFqt1hoLQ9qTNJYP4mIv6Qrn5T0sbp5xsDs6qt16FpZoXJM5+ZZbCoZEh5LfBsRPys4qPbgCPS10cAt1Zbs3fPzaxQNb6M8tPA4cBTkqak684ERgHjJB0DvAIcXG0HDk0zK1YNMzMiHm6lxUG16MOhaWaFKtkFQQ5NMytW2S6jdGiaWWGEaCpZavrouZlZDh5pmlmhSjbQdGiaWbF853Yzs6xKeD9Nh6aZFcZPozQzy6tkqenQNLNCeU7TzCwHz2mameVQssx0aJpZsWp5g+D24NA0s8KI8u2eKyKKrmEZSbOBl4uuox30AuYUXYTVVEf5N908IjaoVWOS/kzyd5fVnIgYXKv+q9FQodlRSJqY5TknVh7+N+04fMMOM7McHJpmZjk4NIuxwuc0W6n537SD8JymmVkOHmmameXg0DQzy8Gh2Y4kDZb0vKRpkk4vuh5bdZKukzRL0tNF12Ltw6HZTiR1Aq4AhgDbAYdK2q7YqqwGbgAKPdna2pdDs/0MBKZFxPSIWASMBYYVXJOtoogYD8wrug5rPw7N9tMbeLXi/Yx0nZmViEOz/azotgQ+38usZBya7WcGsGnF+z7A6wXVYmZVcmi2n8eBfpK2kNQFGA7cVnBNZpaTQ7OdRMRi4CTgbuBZYFxEPFNsVbaqJN0EPAJsI2mGpGOKrsnqy5dRmpnl4JGmmVkODk0zsxwcmmZmOTg0zcxycGiameXg0FyNSFoiaYqkpyX9VlK3VWhrH0m3p68PaO2uTJLWk/StKvo4T9L3sq5fbpsbJH01R199fSciqwWH5url3YjYOSJ2ABYBx1d+qETuf/OIuC0iRrWyyXpA7tA0KyOH5urrIeDj6QjrWUm/ACYDm0raT9IjkianI9LusOx+n89Jehj4cktDko6UdHn6eiNJt0h6Il32AEYBW6Wj3J+m2/2XpMclPSnp/Iq2zkrvKfoXYJu2foSk49J2npD0++VGz5+X9JCkqZKGptt3kvTTir6/uap/kWaVHJqrIUnNJPftfCpdtQ3wq4jYBXgHOBv4fET0ByYCp0paA7ga+BKwJ/CxlTR/GfBgROwE9AeeAU4HXkxHuf8laT+gH8nt8HYGdpW0l6RdSS4f3YUklHfL8HP+EBG7pf09C1RecdMX2BvYH7gq/Q3HAPMjYre0/eMkbZGhH7NMmosuwGpqTUlT0tcPAdcCmwAvR8Sj6frdSW6CPEESQBeSywA/AfwjIl4AkPRrYOQK+vgc8A2AiFgCzJfUY7lt9kuXv6Xvu5OE6NrALRGxMO0jy7X3O0i6kGQKoDvJZagtxkXEUuAFSdPT37AfsGPFfOe6ad9TM/Rl1iaH5url3YjYuXJFGozvVK4C7o2IQ5fbbmdqd6s6AT+OiF8u18d/VtHHDcCBEfGEpCOBfSo+W76tSPs+OSIqwxVJfXP2a7ZC3j3veB4FPi3p4wCSuknaGngO2ELSVul2h67k+/cBJ6Tf7SRpHWABySiyxd3A0RVzpb0lbQiMBw6StKaktUmmAtqyNjBTUmdgxHKfHSypKa15S+D5tO8T0u2RtLWktTL0Y5aJR5odTETMTkdsN0nqmq4+OyKmShoJ3CFpDvAwsMMKmvg2MDq9m88S4ISIeETShPSUnrvSec1tgUfSke6/gMMiYrKkm4EpwMskUwht+QHwWLr9U3w4nJ8HHgQ2Ao6PiPckXUMy1zlZSeezgQOz/e2Ytc13OTIzy8G752ZmOTg0zcxycGiameXg0DQzy8GhaWaWg0PTzCwHh6aZWQ7/ByBecSY2agpvAAAAAElFTkSuQmCC\n", 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" ] @@ -948,13 +948,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "召回率: 0.9251700680272109\n", - "精确率: 0.010045797015807358\n" + "召回率: 0.9183673469387755\n", + "精确率: 0.011378961564396493\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1014,17 +1014,17 @@ "指定的阈值为: 0.1 时,测试集的召回率: 1.00 精确率: 0.497\n", "指定的阈值为: 0.2 时,测试集的召回率: 1.00 精确率: 0.497\n", "指定的阈值为: 0.3 时,测试集的召回率: 1.00 精确率: 0.500\n", - "指定的阈值为: 0.4 时,测试集的召回率: 0.97 精确率: 0.587\n", - "指定的阈值为: 0.5 时,测试集的召回率: 0.94 精确率: 0.817\n", - "指定的阈值为: 0.6 时,测试集的召回率: 0.89 精确率: 0.949\n", - "指定的阈值为: 0.7 时,测试集的召回率: 0.82 精确率: 0.968\n", - "指定的阈值为: 0.8 时,测试集的召回率: 0.78 精确率: 0.991\n", - "指定的阈值为: 0.9 时,测试集的召回率: 0.61 精确率: 0.989\n" + "指定的阈值为: 0.4 时,测试集的召回率: 0.97 精确率: 0.637\n", + "指定的阈值为: 0.5 时,测试集的召回率: 0.94 精确率: 0.896\n", + "指定的阈值为: 0.6 时,测试集的召回率: 0.89 精确率: 0.978\n", + "指定的阈值为: 0.7 时,测试集的召回率: 0.82 精确率: 0.984\n", + "指定的阈值为: 0.8 时,测试集的召回率: 0.77 精确率: 0.991\n", + "指定的阈值为: 0.9 时,测试集的召回率: 0.60 精确率: 1.000\n" ] }, { "data": { - "image/png": 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tAOi3ZS827NaR+q4dytImQRSnqIYSY3VfC6ox80nMO+TOfB6G4nmPzEcffsjrr79Gv/47V7opJWsu8w3atF6L/Xf7Pv8cPalsbYqoj29KVzObDRD+2SWcXw98krHejHBes2ItcCQdJGlq+C3jgty/Ea+mKt+0nxtv03otzj/1QK647Yk1ll1/9yg6rNuWsSMu4FfH7M3rU2ewfMXKsrWt1MOXcVf3UUta3qH6Mp/kvENpp6jSlndIZuYBvvzyS44/5giuuf4G2rdvX+nmlCRb5hscstfWjJn0fllPT0FefXxnSeMzptNK2F1TH6KmD2eFYruKSlIL4BZgf4JK61VJj5pZxU6I1tf3YMaM7wrAmTNn0L1790o1JxIb91ifXvWdeGXkYADqu3RgzAPns+cJ1zFnwRf812X3rVp3yhOX8+HMBWVrWx7/jnaWND7j9RAzG5Ljd1ar7iXlqu5n59/i4iUx71B9mU9y3iFn5qsm75DczC9btozjjz6Co485jkGH/biSTYlErswDHHngjjxUztNToTz6+Plm1q/Azc6R1C3Mezdgbjh/BtAzY70ewKxsG4rzMvH+wHQzex9A0giCbx0VC3+/nXZi+vRpfPjBB3Svr+ehkSMYeu8DlWpOJCZPn0WvAYNXvZ7yxOXsfvy1LFj0Fd9r14Yl33zLsuUrOPnw3Xhp4nS++OqbsrQrz0sIiwl/s7tsYl7W6j5iics7VF/mk5p3yCvz1ZR3SGDmzYzT/+vnbN63L78+65xKNSNS2TIP0L5da/bYcVNOvmhYc5uIRYyXiT8KnAhcHf75SMb8M8Oc7Qwsbij+mxNngdPUN4yKngxt2bIlN9x4Mz865EBWrFjBiSedwhZbblnJJhVs2FUnseeOfejcoR3Tn/oDf7j9SYb9c0yT6/bdeAP++ocTWLFiJVPe/5RfXn5/GVsa26WxkVX3EUtc3iH9mU9P3iGmzCc175DAzI/5z8sMv/9ettxqa3bdaXsALrviSg4ceHAlm1WQQjIPcOi+2zJ67BSWfPNtGVsJUeRd0nBgH4KjmzOASwkKmwclnQp8DBwZrv4kcDAwHVgCnJxr+3EWOHl9wwjPyZ0G0HPDDWNsTuCggQdzUIrC3tiJg4dmXd73kEtX/TzujQ/YetAVMbeoeUmv7iOWyLxDujOfprxDLJlPat4hj8yXO++77b4HXy4t77irqBWSeYD7HhvHfY+Ni7FFzSs172Z2bDOLBjSxrgFnFLL9OAcZ5/UNw8yGmFk/M+u3fuf1Y2yOK6toLhMfDowBNpc0I6zorwb2lzSN4Nx/w53rngTeJ6ju7wBOj+FdZeN5r3W1lXfII/OZee/sea8uEfTxcYvzCM6rQB9JGwEzgWOA42Lcn0sQAXV1pdXPcVf3EfO817hSM5+yvINnvqZF0cfHrdkCR1LWa+vM7PMcy5dLOhN4GmgB3GVmk4tqpUulJFTwhSgl8553B+nKvPfxrlRJz3u2IziTCc6nZr6FhtcG5DyhamZPEhxKdbUmBQ9ia0JJmfe817j0Zd77eFe8FOS92QLHzHo2t8y5XBTfVVSx8cy7UqQt8553V4o05D2vE2iSjpF0YfhzD0k7xtssVw1a1CnrlGSeeVcMz7urJUnv43MWOJJuBvYFTghnLQFuj7NRrjokfYR9czzzrlied1dLkt7H53MV1W5mtoOk1wDMbKGkVjG3y6WcRCIq+CJ55l3BUpx5z7srWBrynk+Bs0xSHeENnCR1AtJ9JyVXFkk/P5uFZ94VJaWZ97y7oiQ97/mMwbkF+DuwvqTLgZeAa2JtlUs9AXVS1inBPPOuYLkyn2Ced1ewNPTxOY/gmNk9kiYAPwhnHWlmb8XbLFcNEn70slmeeVesNGbe8+6KlfS853sn4xbAMoJDmMm+daFLBinx90jIwTPvCpPuzHveXWFSkPd8rqK6CBgOdCd41sgDkgZn/y1X69Jw+LI5nnlXjLSeovK8u2KkoY/P5wjOT4EdzWwJgKQrgQnAVXE2zKVf0qv7LDzzrigpzbzn3RUl6XnPp8D5qNF6LQmeYutcs5JyH4QieeZdwVKcec+7K1ga8p7tYZs3EJyPXQJMlvR0+PoAglH2zmXVIunpb8Qz70qVpsx73l2pSs27pLOBnxPk7k3gZKAbMALoCEwETjCzb4vZfrYjOA2j6CcDT2TMH1vMjlztKfUeCXGHvwmeeVeSlGXe8+5KUkreJdUDvwG2MLOvJT0IHAMcDNxgZiMk3Q6cCtxWzD6yPWzzzmI26BwEwS/lLpflCH9jnnlXirRl3vPuSlFq3kMtgTaSlgFtgdnAfsBx4fJhwGUUmfd8rqLaRNIISW9IerdhKmZnrrZE8JyShvC3ZPXw/y1cPgw4LPp2e+ZdcSJ4Lk/ZM+95d8XKo4/vLGl8xnRaw++a2UzgeuBjgpwvJhjcvsjMloerzQDqi21fPoOMhwJ/DBsykOCQqd/G22Ul8npOSWdJ4zNeDzGzIRCEX1JD+L8GniHi8GcxFM+8K1AemW8271DRzA/F8+4KlGcfP9/M+jX5+9J6wCBgI2AR8BBB/hqzYtuYT4HT1syelnS9mb0HXCzpxWJ36GpHHudnKxr+LDzzrig5Mt9s3sPfrVTmPe+uKCWOOfsB8IGZzQu39Q9gN6CDpJZhUd8DmFXsDvIpcJYqeBfvSfolMBPoUuwOXW2QSh5hH3v4s/DMu4KlOPOed1ewCPL+MbCLpLYERywHAOOB54AjCAbWnwg8UuwO8rkl99lAO4LBb7sDvwBOKXaHrnaUOAZnVfjDzncA8DbfhR9KDH8WnnlXlBLH4FQq8553V5RS+ngzG0cwtmwiwRWDdcAQ4HzgHEnTgU5A0YPh83nY5rjwxy+AE4rdkas9pRy+NLNxkhrCvxx4jSD8TwAjJP0xnBf5lSCeeVesNGbe8+6KVeptEczsUuDSRrPfB/qXtOFQthv9PUyWc71m9uMoGuCqkyj9EsK4w9+YZ96VIm2Z97y7UkSR97hlO4Jzc9laUe1a5PvQ9pTJVr2n4DbeTfDMR6Fa855L+jJf1rznedWNS4sU5D3bjf5Gl7Mhrvqk6bb14Jl3pUtT5j3vrlRJz3uNftVycROln591Lk08866WpCHvXuC42LTM5xo956qIZ97VkqTnPe8CR9LaZrY0zsa46hFcJpjs6j4Xz7wrRNoz73l3hUhD3vN5FlV/SW8C08LX20r6S+wtc6nXoi77lFSeeVcsz7urJUnv4/Npwk3AD4EFAGb2OrBvnI1y6SegTso6JZhn3hUsV+YTzPPuCpaGPj6fU1R1ZvZRo0NRK2Jqj6siLSqf72J55l1RUpp5z7srStLznk+B84mk/oBJagH8Gng33ma5tFNCKvgieeZdwVKcec+7K1ga8p5PgfMrgkOYGwJzgGfDec5llYRzsEXyzLuipDTznndXlKTnPZ9nUc0FjilDW1wVaTg/m0aeeVeMtGbe8+6KkYa85yxwJN1BE88rMbPTYmmRqw5KfnXfHM+8K0pKM+95d0VJQd7zOUX1bMbPrYHDgU/iaY6rJiLZ1X0WnnlXlJRm3vPuipL0vOdzimpk5mtJ9wKjYmuRqwoi+Xe5bI5n3hUjrZn3vLtiRJF3SR2AvwJbERxFPAWYCowEegMfAkeZ2WfFbL+Y5m0E9CpmZ662SMo65bmNDpL+JmmKpHck7Sqpo6RRkqaFf64X81vxzLu8eN5dLYmgj78ReMrM+gLbAu8AFwCjzawPMDp8XZR87mT8maSF4bSIoLK/sNgdutogRXaXy1g/AE233TPvCpcr83nyvLtUKLWPl9Qe2Au4E8DMvjWzRcAgYFi42jDgsGLbmPUUlYISbFtgZjhrpZmtMRjNuaaUOsI+4wNwEgQfAOBbSYOAfcLVhgHPA+eXtLPv9umZd0UrJfOed5c2JfbxGwPzgLslbQtMAH4LdDWz2QBmNltSl6Lbl21hGPSHzWxFOHnwXV5EJEdwMj8Ar0n6q6R1aPQBAIr+ADTmmXfFypX5PHjeXWrk2cd3ljQ+Y8q8Mq8lsANwm5ltD3xFxEcn8/nYvSJphyh36mqBqMsxkT38UIYPQDM8864InndXS/Lq4+ebWb+MaUjGBmYAM8xsXPj6bwT5nyOpG0D459xiW9jsKSpJLc1sObAH8AtJ7xF84ERQ+PsHwjWr4fxsDvPNrF+W5U19AC4g/ACEhy9L+gBk8sy7UuSRec+7qxp59vHNMrNPJX0iaXMzmwoMAN4OpxOBq8M/Hyl2H9nG4LxCUE0VPcDH1bZSx+CU4wPQiGfelaSUzHveXdpEcCfjXwP3S2oFvA+cTHBm6UFJpwIfA0cWu/FsBY4AzOy9YjeeRM88/RTnnvNbVqxYwUmn/Jzfn1eOI8DRuf2SYxm4xxbM++xL+h19zWrLzvrpvlx11iB6DLiIBYu/4uwT9uXog4IvjC1b1tG3d1d67n8xn32+JPZ2BudnI7kJVKwfgEY88wmTlrxDZJn3vJcozXkHuP3S4xm411bMW/gF/Y78n9WWnXXCAK4653B67Hs+CxZ9xdk/G8DRB+8EQMsWdfTdaAN67ndBavp4M5sENHVUc0BJGw5lK3DWl3ROcwvN7E9RNKCcVqxYwVm/OYMn/jWK+h492GOXnfjhDw/l+1tsUemm5e3ex8Zx+8gX+esVx682v0fXDuy38+Z8PHvhqnk33PscN9z7HAAH77klvz5u77J19hAcwixV3B+ARjzzCZOmvEPpmfe8lybteQe497Gx3D7y3/z1Dz9bbX6Prh3Yb5e+q2f+ntHccM9oAA7eayt+ffy+qevj45TtDFoLoB2wbjNT6rz6yitsssmmbLTxxrRq1Yojjz6Gxx+L6mhvebz82vssbCLA155zGBfd9CjNXQNx1IE78ODTE2Nu3XckaCFlnRLIM58wack75M58AnneE+jlie+xcHETmT/3J1x04z9p7kK3ow7qx4NPTYi7eaukoY/PdgRntpldUbaWlMGsWTPp0aPnqtf19T145ZVxWX4jHQ7Za0tmzV3Mm9NmNbm8zdprsf+ufTn72r+XtV2Vj3fBPPMpkNS8Q+oy73lPiUP23ppZcxfx5rszm1zepvVa7L/b9zn76gfL2q6k5z3bEZyS2i7pLklzJb1Vynai1FTlm+8t1JOqzdprcf4pB3DF7f9qdp1D9tqKMa9/UN5DlyS/um+CZz7hkpp3yJ35BPK8p0Cb1mtx/qkHcsVtTzS7ziF7bc2YSe97H99ItgKn1HO+Q4GDStxGpOrrezBjxncPyZ05cwbdu3evYItKt3GPzvTq3pFXhp/HlEcvob7L9xhz/7l07fTdEeYjD9ieh8p8uB6CQ5jZpgTyzCdckvMOnvdKq7a8A2zcY3161XfilZGDmfLE5dR36cCYB85fPfMH7shDZTw91SDpfXyzp6jMbGFzy/JhZi9I6l3KNqLWb6edmD59Gh9+8AHd6+t5aOQIht77QKWbVZLJ782m1wH/ver1lEcvYfcT/h8LFn8FQPt1WrPHDptw8n/fV+aW5f+AwaTwzCdfcvMOacu85z0dJk+fRa8Bg1e9nvLE5ex+/LUsWBRmvl1r9thxU06+aFhzm4hJ8vNe4sPOSyfptIY7e86bPy/WfbVs2ZIbbryZHx1yINtt/X1+cuRRbLHllrHuM2rDrvwZz9/9Wzbr1YXpT1zGiYN2zrr+oftuw+hxU1nyzbdlamEgDYcvK6GceYf0Zz4teYdUnqKKnee9cMOuOonnh/2OzXp1ZfpTf+DEw3bNuv6h+27L6LFTvI9vqo1xPnokrO4fN7Ot8ll/xx372cvjxsfWnkpZb5ezKt2EWCx9Zzgrv5rTZIo32WJbu/qB5sdJABy1ff2EHHd2TZ1CMu95T59vJtzYbGZzZd7zXqV53+nMSjchNt9MuqXovEPlM5/1aeLOFavhEkLnaoVn3tWSNOTdCxwXm6Sfn3Uuap55V0uSnvfYxuBIGg6MATaXNCO8zbirIXXKPlUbz7zzvLtakvQ+PrYjOGZ2bFzbdsknoC7xt4GKlme+ttVa5j3vtS0NefdTVC4miuJJs86liGfe1ZLk590LHBebhGffuch55l0tSXrevcBxsUjDCHvnouSZd7UkDXmv+I3+XPWK4jbekgW6b6UAACAASURBVFpIek3S4+HrjSSNkzRN0khJreJ8D84VIorb1nvmXVokvY/3AsfFIsK7XP4WeCfj9TXADWbWB/gM8Cs3XCJEeCdjz7xLvDT08V7guNgox385f1/qARwC/DV8LWA/4G/hKsOAw2JqvnMFKyXv4Jl36ZL0Pt7H4LjYRDDC/s/AeUDDY3M7AYvMbHn4egZQX+pOnIuKZ97Vkjzy3llS5vM5hpjZkIzXsebdCxwXC5HXjZ6aDb+kHwJzzWyCpH0yNttYfA9Tc64AeWQ+a2fvmXdpkmcfP7+5Z1GVI+9e4Lh4KK97JDQbfmB34FBJBwOtgfYE1X4HSS3DCr8HMCuqJjtXktyZz5Z38My7NMmvj88m9rz7GBwXG+WYsjGzwWbWw8x6A8cA/2dmxwPPAUeEq50IPBJD050rSrF5B8+8S5+k9/Fe4LhYRDjCvrHzgXMkTSc4X3tnVG12rhQRXkXVmGfeJU4a+ng/ReXiE9E9oMzseeD58Of3gf7RbNm5iHnmXS1JeN69wHGxSfpzSpyLmmfe1ZKk590LHBebZEffueh55l0tSXrevcBxsRCghFf3zkXJM+9qSRry7gWOi0eBz99xLvU8866WpCDvXuC42CQ9/M5FzTPvaknS8+4FjotJ/s/fca46eOZdLUl+3r3AcbHI8zbezlUNz7yrJWnIuxc4Lj4JD79zkfPMu1qS8Lx7geNik/R7JDgXNc+8qyVJz3uiCpyJEyfMb7OWPirT7joD88u0r3Iq5/vqlW1hsqNfeZ73yHjmU6DMeYfqzbznPU+JKnDMbP1y7UvS+BxP9k2lxLwvJf8eCZXmeY9GYt6bZz6rcuYdEpSLiCXmfaUg74kqcFz1CG4CVelWOFc+nnlXS9KQdy9wXGwSnn3nIueZd7Uk6Xmv5QJnSKUbEJPEvK+kH76sMYnJRQwS894884mSmFxELDHvK+l5r6t0AyrFzBITkigl6X1J2SdXPknKRdSS9N4878mRpFxEKUnvq5Q+XlJPSc9JekfSZEm/Ded3lDRK0rTwz/WKbV/NFjgufqUWOOX4ADgXJc+7qyUl9vHLgd+Z2feBXYAzJG0BXACMNrM+wOjwdVG8wHGxEA038m7+vzzE/gFwLiq5Mp8Hz7tLjVL7eDObbWYTw5+/AN4B6oFBwLBwtWHAYcW2seYKHEkHSZoqabqkqukoJN0laa6ktyrdFgAU3MY725RLOT4AtcAzXyae90TwvJdJBH38qk1JvYHtgXFAVzObDcFnAuhSbBNrqsCR1AK4BRgIbAEcG35DqgZDgYMq3YjVKMcEnSWNz5hOa3ZTMX0Aqp1nvsw87xXleS+zCPp4Se2AvwNnmdnnUTav1q6i6g9MN7P3ASSNIPh29HZFWxUBM3sh7BQTQvncxnt+PjesavwBSPrI/YTxzJdNzsx73uPneS+b0vt4SWsRZP1+M/tHOHuOpG5mNltSN2BusS2sqSM4BId7P8l4PSOc5yKWq7DPt8vO9gEIl5f0AagBnvky8bwngue9TErt4xVU7ncC75jZnzIWPQqcGP58IvBIsW2stQKnqb9zK3sraoSkrFMevx/7B6AGeObLyPNecZ73Miqxj98dOAHYT9KkcDoYuBrYX9I0YP/wdVFq7RTVDKBnxusewKwKtaXqRXBkveED8KakSeG8CwkC/6CkU4GPgSNL3lP18syXUYmZ97yXzvNeRqXk3cxeovkDPQOK3/J3aq3AeRXoI2kjYCZwDHBcZZtUpQocRd+UcnwAaoBnvlxKzLznPRKe93KJoI+PW02dojKz5cCZwNMEl2A+aGaTK9uqaEgaDowBNpc0I/y2V2FRjEpwpfDMl5vnvZI87+WW7D6+1o7gYGZPAk9Wuh1RM7NjK92GTCL51X2t8MyXh2c+GTzv5ZGGvNdcgePKx69udbXGM+9qSdLz7gWOi43fv8PVGs+8qyVJz7sXOC42yY6+c9HzzLtakvS8e4HjYiGRz10unasannlXS9KQdy9wXHySnX3noueZd7Uk4XmvysvEJa0I74r4lqSHJLUtYVv7SHo8/PnQbE+nldRB0ulF7OMySefmO7/ROkMlHVHAvnqX62m0UT1p1mXnec+6ftnyDp73cvC8Z10/MXlPQuarssABvjaz7cxsK+Bb4JeZCxUo+L2b2aNmlu220R2Agj8A1Uk5/3OR8bwngue9TDzviZD8Pr5aC5xMLwKbhpXtO5JuBSYCPSUdIGmMpInhN4F2AJIOkjRF0kvAjxs2JOkkSTeHP3eV9LCk18NpN4Jbqm8Sfru4Llzv95JelfSGpMsztnWRpKmSngU2z/UmJP0i3M7rkv7e6FvLDyS9KOldST8M128h6bqMff9XqX+RhRDBOdpsk4uF570CeYfcmXex8LwnNO9JyHxVFziSWgIDgTfDWZsD95jZ9sBXwMXAD8xsB2A8cI6k1sAdwI+APYENmtn8TcC/zWxbYAdgMnAB8F747eL3kg4A+gD9ge2AHSXtJWlHgluIb0/wAdspj7fzDzPbKdzfO0DmXSx7A3sDhwC3h+/hVGCxme0Ubv8XCm5fXjZJD3+18bxXNu/geS8nz3uy856EzFfrIOM2+u5hdS8SPKG3O/CRmY0N5+8CbAG8rOD/RCuC22D3BT4ws2kAku4DTmtiH/sBPwMwsxXAYknrNVrngHB6LXzdjuADsS7wsJktCffxaB7vaStJfyQ4TNqO4FbkDR40s5XANEnvh+/hAGAbfXf+9nvhvt/NY1+lS8EI+yriea903sEzXz6ed897Xqq1wPnazLbLnBGG/KvMWcCoxre/lrQdYBG1Q8BVZva/jfZxVhH7GAocZmavSzoJ2CdjWeNtWbjvX5tZ5gcFSb0L3G9RROIH2FcTz3uF8w6e+TLyvHve81LVp6hyGAvsLmlTAEltJW0GTAE2krRJuF5zz/8YDfwq/N0WktoDXxBU7w2eBk7JOPdbL6kL8AJwuKQ2ktYlOFyay7rAbElrAcc3WnakpLqwzRsDU8N9/ypcH0mbSVonj/1ERlLWyZWV570MPO+J4Xkvg6T38TVb4JjZPOAkYLikNwg+EH3N7BuCQ5ZPKBiE9lEzm/gtsK+kN4EJwJZmtoDgkOhbkq4zs2eAB4Ax4Xp/A9Y1s4nASGAS8HeCw6y5/DcwDhhF8CHNNBX4N/Av4Jfhe/gr8DYwUcFlg/9LmY/YlXp+VsFgwKmSpivL5ZsuN897eZQ6HsEzHw3Pe3kkvY+XWVRH65z7zg479rOXxr6adZ11WtVNMLN+TS2T1ILgfPL+wAzgVeBYM3s76rY6F4Vcmc+Wd/DMu3RJQx9fs0dwXPxKvEdCf2C6mb1vZt8CI4BBsTfauRKUeE8Qz7xLlaT38dU6yNhV2GsTJzzdtpU651ittaTxGa+HmNmQ8Od64JOMZTOAnaNso3NRyiPz2fIOnnmXImno473AcbEws4NK3ERT5b+fT3WJ5Zl3tSQNefdTVC6pZgA9M173AGZVqC3OlYNn3tWS2PPuBY5LqleBPpI2ktSK4M6g+dwwy7m08sy7WhJ73v0UlUskM1su6UyC+z20AO4ys8kVbpZzsfHMu1pSjrz7ZeLOOeecqzp+iso555xzVccLHOecc85VHS9wnHPOOVd1vMBxzjnnXNXxAsc555xzVccLHOecc85VHS9wnHPOOVd1vMBxzjnnXNXxAsc555xzVccLHOecc85VHS9wnHPOOVd1vMBxzjnnXNXxAsfFokX7XlbXtkvWSdJT2bYh6S5JcyW91cSycyWZpM7ha0m6SdJ0SW9I2iGu9+ZcU3JlPlfenUuTNPTxLYt/e841z5Z/w9p9j8m6zjev/aVzjs0MBW4G7smcKaknsD/wccbsgUCfcNoZuC3807myyJX5PPLuXGqkoY/3IzguHgKk7FMOZvYCsLCJRTcA5wGWMW8QcI8FxgIdJHWL4J04l59cmXeumqSgj/cjOC4+dS1yrdFZ0viM10PMbEi2X5B0KDDTzF7X6h+geuCTjNczwnmz82+wcyXKnXnnqkfC+3gvcFxMBMp5gHC+mfXLe4tSW+Ai4ICmd7gGa2KeczHJK/POVYnk9/Fe4Lj4RH9YfhNgI6Chsu8BTJTUn6Ca75mxbg9gVtQNcC4rPxXlaknC+3gvcFw8pMgP15vZm0CX73ahD4F+ZjZf0qPAmZJGEAw8W2xmfnrKlU8MmXcusVLQx/vxVBcf1WWfcv26NBwYA2wuaYakU7Os/iTwPjAduAM4PYq34FxBSsi7c6mT8D7ej+C4mJRe3ZvZsTmW98742YAzStqhcyXxIziuliS/j/cCx8Wj4RJC52qFZ97VkhTk3QscFxNBncfL1RLPvKslyc97slvn0q0u2dW9c5HzzLtakvC8e4Hj4iF8PIKrLZ55V0tSkHcvcFxM/KZnrtZ45l0tSX7evcBx8Ul4de9c5DzzrpYkPO9e4Lh4+AMGXa3xzLtakoK8e4Hj4pPw6t65yHnmXS1JeN6TfQItJpLaSHpM0mJJD5WwneMlPRNl2ypF0p6Spka4xZLvcumi45lfU9kz78rG876mWuzjK9+CLCQdJ2m8pC8lzZb0L0l7RLDpI4CuQCczO7LYjZjZ/WbW1FNPE0WSSdo02zpm9qKZbR7dTgmq+2yTW4NnPhqJzLxbg+c9GonMewIyn9gCR9I5wJ+B/yEI6obArcCgCDbfC3jXzJZHsK3UkxTDqcrkV/dJ45kvn4pk3q3G814+tdrHV74FTZD0PeAK4Awz+4eZfWVmy8zsMTP7fbjO2pL+LGlWOP1Z0trhsn3CB3f9TtLc8JvByeGyy4FLgKPDbw2nSrpM0n0Z++8dVsQtw9cnSXpf0heSPpB0fMb8lzJ+bzdJr4aHRV+VtFvGsucl/UHSy+F2npHUuZn339D+8zLaf5ikgyW9K2mhpAsz1u8vaYykReG6N0tqFS57IVzt9fD9Hp2x/fMlfQrc3TAv/J1Nwn3sEL7uLmm+pH0K+h+Z8Oo+STzzNZB5t4rnvQbynoDMJ7LAAXYFWgMPZ1nnImAXYDtgW6A/cHHG8g2A7wH1wKnALZLWM7NLCb4xjDSzdmZ2Z7aGSFoHuAkYaGbrArsBk5pYryPwRLhuJ+BPwBOSOmWsdhxwMsHj4FsB52bZ9QYEfwf1BB/WO4CfAjsCewKXSNo4XHcFcDbQmeDvbgDhk1bNbK9wnW3D9zsyY/sdCb7pnJa5YzN7DzgfuF9SW+BuYKiZPZ+lvWtqGGXf3OQyeearPfM5f1V3hf/YvZUx7zpJUyS9IelhSR0ylg2WNF3SVEkHFtTOyvO8V3veE9DHJ7XA6QTMz3F48XjgCjOba2bzgMuBEzKWLwuXLzOzJ4EvgWLPP64EtpLUxsxmm9nkJtY5BJhmZvea2XIzGw5MAX6Usc7dZvaumX0NPEjwwW3OMuBKM1sGjCAI9o1m9kW4/8nANgBmNsHMxob7/RD4X2DvPN7TpWa2NGzPaszsDmAaMA7oRtDZ5E9KfHWfMJ75as98bkOBgxrNGwVsZWbbAO8Cg4NdaQvgGGDL8HdulZSmD5XnvdrznoA+PqkFzgKgs7KfN+wOfJTx+qNw3qptNPrwLAHaFdoQM/sKOBr4JTBb0hOS+ubRnoY21We8/rSA9iwwsxXhzw3hnJOx/OuG35e0maTHJX0q6XOCby9NHhrNMM/Mvsmxzh3AVsBfzGxpjnXXICnr5Fbjma/yzOdiZi8ACxvNeybj/+lYoEf48yBgRPiP1wfAdIIjHGnhea/yvCehj09qgTMG+AY4LMs6swgOvTXYMJxXjK+AthmvN8hcaGZPm9n+BFXuFIJQ5GpPQ5tmFtmmQtxG0K4+ZtYeuJBgjHs2lm2hpHYEAwDvBC4LD8/mTQLVKevkVuOZL0zqMk/wD/r4jOm0XNts5BTgX+HP9cAnGctmsPo/tEnneS9M6vKehD4+kQWOmS0mOCd5Szjwqq2ktSQNlHRtuNpw4GJJ64cDuS4B7mtumzlMAvaStKGCwW+DGxZI6irp0PA87VKCw6ArmtjGk8BmCi57bCnpaGAL4PEi21SIdYHPgS/Dbx6/arR8DrDxGr+V3Y3ABDP7OcF559sL+/XslX0+1X0tjUnwzBcsdZknOCXTL2MakveWpYuA5cD9q3a2pqz/oCWJ571gqct7Evr4RBY4AGb2J+AcgkFl8wi+rZwJ/DNc5Y/AeOAN4E1gYjivmH2NAkaG25rA6oGtA35HUL0vJDjveXoT21gA/DBcdwFwHvBDM5tfTJsKdC7B4LYvCL55jGy0/DJgmIIR+Efl2pikQQTn9X8ZzjoH2EHhlQX5qquryzrlYSi1MybBM1+Y1GW+WJJOJPh7Pt7MGoqYGUDPjNV6UPzRjYrwvBckdXlPQh+v7z4vzkWnRceNrN2BV2Rd5/MRP5tgZv2yrSOpN/C4mW3VxLLDgSPM7HhJgwHM7Kpw2dPAZWY2prh34FxhcmW+mLxLOojgap29w4G2DettCTxAMO6mOzCa4PRFU0cenItcGvp4fxaVi4WU1znYzpLGZ7weUshhe4IxCQ3fZOoJBmE2SNuYBJdyeWY+2+8PB/Yh+FzMAC4l+Pa6NjAqPOQ/1sx+aWaTJT0IvE1w6uoML25cOaWhj/cCx8Umj3Ow83NV91m2XVVjElx1yGfcQXPM7NgmZjd7DxczuxK4sugdOleipPfxXuC42JQy7iCbjDEJA6ppTIJLv7gy71wSJb2P90+ji4fymIrZbDAm4XzgUDNbkrHoUeAYBbd33wjoA7xSbPOdK1gMeXcusVLQxyfqCE779Tpal+49c6+YMrM+y3WvpXT6dtGnLF+yuMkYC5Vc3Vf7mAStva7VrZPrXl3p8/2e61W6CbGZ/MZr881s/aaWRZH5aqaWbUyt1q10MyK3/fc3rHQTYjNx4oRY8x53H5+oAqdL955cP/ypSjcjcpf94+1KNyEW7w5Z40rK1ZQyHgGqf0xC3TqdWefAyyvdjMg9+P9+UukmxGbL+naN72S7mlIzX83Ual3W3jznFcyp8/K4myvdhNi0WUux5j3uPj5RBY6rMt7Xu1rjmXe1JOF59wLHxUM+4NLVGM+8qyUpyLsXOC42frje1RrPvKslSc+7FzguFiIZD1tzrlw8866WpCHvXuC4eCj51b1zkfLMu1qSgrx7geNik/Tzs85FzTPvaknS8+4FjotPsot756LnmXe1JOF59wLHxULym5652uKZd7UkDXn3AsfFJunnZ52Lmmfe1ZKk590LHBebpI+wdy5qnnlXS5Kedy9wXGySXt07FzXPvKslSc+7FzguFhLUJby6dy5KnnlXS9KQdy9wXEyU+OreuWh55l0tSX7evcBxsUl6de9c1DzzrpYkPe/JvsbLpZeCQ5jZJueqSol5l3SXpLmS3sqY11HSKEnTwj/XC+dL0k2Spkt6Q9IO8b0x55qQgj7eCxwXCwEtWijr5Fw1yZX5PAwFDmo07wJgtJn1AUaHrwEGAn3C6TTgtijeg3P5SkMf7wWOi42krFMev+/faF2qlJJ3M3sBWNho9iBgWPjzMOCwjPn3WGAs0EFSt4jehnN5KbWPj5sXOC4WDSPss015GIp/o3UpkSvzQGdJ4zOm0/LYbFczmw0Q/tklnF8PfJKx3oxwnnNlEUUfH/eX2JopcFasWME5R+3PH8/8GQBvjHuJ3x19AL/58b7cePFvWbF8eYVbmJ/LBn2f//v9nvzt9J1XzWvfpiW3n7Adj/56V24/YTvWbf3d2PHzBm7Go7/ZlQd/1Z++3dYtY0uzV/b+jTZat/zXbrx3+5GMvfZHq+YdtnMvxl13KIvuP4HtN+60an7LFuL2X+3OmGt+xKvXH8o5g7aqRJMLtvSbbzj6kL05/Ae7cOi+/bj5+j8CcP/dt3PQ7tuwZX07Pls4v4ItzJn3+WbWL2MaUtLO1mQlbC9Vbr/0eD4afRXjH7pwjWVnnTCAr1+7mU4d1gHgmIH9eGXkYF4ZOZjnhp7D1pulsw58d+pUdt5xu1VTl47t+cuNf65gi0rv44n5S2zNFDiP3/9XemzcB4CVK1dy03//lnOuuY2b/vEc63er57lHH6xwC/Pz6KTZnH7fpNXmnbJHb8Z98BmH/mUM4z74jFP26AXAHn06sWHHNhx60xj+8NgULjpk87K2NY/q3r/RRuT+f0/nx1ePXm3e258s4vg/Pc/LU+asNv/wnXuzdss6dj3/Mfa68AlOHrAZG3Zep5zNLUqrtdfmrgef4OFnx/L3Z8bw0vPP8vqEV9hhp125c8RjdO+xYaWbWOoRy6bMaSjUwz/nhvNnAD0z1usBzCq64Slz72NjGXTGLWvM79G1A/vt0pePZ3/3vejDWQs44Od/pv/RV3HVHU9xy8XHlrOpkdls880ZN2ES4yZM4j+vTKBt27YcetjhFW1TqUdw4v4SWxMFzvw5s5jw4mh+cPhxAHyx6DPWarU29b03AWC7XfdmzOgnK9nEvE38aBGff71stXn7bN6ZxybNBuCxSbPZt+/64fz1efz1TwF4c8bnrNu6JZ3btSpPQ/MbYe/faCPynylz+ezLpavNe3fWYqbP/nyNdQ2j7dotaVEn2rRqybLlK/miUaaSSBLrrNMOgOXLl7F82TIk8f2ttqW+Z68Kt46Sr6JqxqPAieHPJwKPZMz/WXjYfhdgcUPhXwtenvgeCxcvWWP+tef+hItu/Cdm3330x77+AYu++BqAV974gPquHcrWzrg893+j2WjjTejVq4K5z6+Pr+iX2Jq4D85d117KiWdfzNdffQlA+/U6smL5MqZPfp1Nt9yW/4x6nPmfpvfLT6d2rZj/5bcAzP/yWzquExQxXdqvzaeff7NqvTmfL6VL+7VXrRsnEds9EuZI6mZms/0bbXH+Oe4jDtmxJ9NuO5I2rVow+N7xfPZV/JmIwooVKzjyoD34+MP3Ofak09hmh50q3aRVSs28pOHAPgT/KMwALgWuBh6UdCrwMXBkuPqTwMHAdGAJcHLRO64Sh+y9NbPmLuLNd2c2u85Jh+3G0y+/XcZWxeOhkSM46ujKHonKM+/zzaxfhLtsLOuX2FiP4Eg6SNLUcFDQBbl/I3qv/nsU3+vYmU222CazXZxzzW3cdd2l/P64g2mzTjtatGhRiebFqsk0lPGYRkwj7BP7jTYJec/Hjpt0ZsVKY7PTH2Lr3z7Mrw/Zgt5d2lW6WXlp0aIF/xg1hv8bP5U3XxvPtCmTK92k1ZQ45uxYM+tmZmuZWQ8zu9PMFpjZADPrE/65MFzXzOwMM9vEzLY2s/Gxv7kmJCXzbVqvxfmnHsgVtz3R7Dp79evDiYftysU3PtLsOmnw7bff8sTjj/LjI47MvXLMYurjIzstG9sRHEktgFuA/cOGvSrpUTMra/k8ZdKrvPr8M0x4aTTLli5lyVdfcMPgMzn7qpv5n6H/BGDSf55n1kfvl7NZkVrw5bd0Do/idG7XioXht/E5ny9lg/atgcUAdG2/NvO+WJplSxGK4DklafpGm5S85+Oo3Tfi2ddnsXyFMf/zbxj77jy237gTH879stJNy1v773Wg/2578tLzz9Kn75aVbk4gBc/miVKSMr9xj/XpVd+JV0YOBqC+SwfGPHA+e55wHXMWfMFWfbpz2yXHMejM21i4+KtyNy9STz/1L7bbfge6du1a2YbEl/eGL7FXs+aX2DMljQB2Jo8vsXEewekPTDez983sW2AEwSChsjrhtxfy11ETGPKvV/jdNbex9U57cPZVN7NoQXC1xbJvl/KPu2/lwCNOKHfTIvPvqfP50XbBWKsfbdeN56fOD+fP44fbbgDA1j3a8+XS5WU5PQXB0aNS73KZsm+0ich7Pj6Z/xV7bRnkou3aLdlp0868O2txhVuV28IF8/h88SIAvvn6a8a8+BwbbbJZhVv1nVyZr0KJyfzk6bPoNWAwfQ+5lL6HXMrMuYvY9bhrmLPgC3pusB4jrv8Fp/73PUz/eG7ujSXcgyOHV/z0FETTx4dfYscAm0uaEX5xvRrYX9I0guL56nD1J4H3Cb7E3gGcnmv7cY7BaWpA0M6NVwoHHZ0GsH638l308s9htzL+hWexlSs56KgT2WbnPcq271Jc9ZMt6dd7PTq0XYunz9md2557n7te+pBrj9yaw7fvzuzF3/D7h94E4MVpC9ijT2ce+82ufLNsJZc+Us4vViVdOZJGBeddbTs1Xly0u369J3t8vyud1m3NOzf/hP/52+t89uVSrjupP53bt+ah8/bjzQ8/4/Crn+WOZ6Zy6y93Y9x1hyLgvn+/x+SPF0XWlrjMmzOHC886jZUrV7By5UoO/NGP2Wf/gdx3563cdeufmT9vDof/YBf22u9Arrh+zSts4ueZp1HmM/POWtGdBh121UnsuWMfOndox/Sn/sAfbn+SYf8c0+S6g08bSMcO6/DnwUcDsHzFSvY4/trI2lJOS5Ys4f+eHcXNt/5vpZtCFHk3s+YqtQFNrGvAGYVsP84CJ68BQeGVM0MANt1y21hHiGy1025stdNuAJx0ziWcdM4lce4uFoP/3vSYg/+657Um51/15NQ4m5NVEu5kWUYF571Fx40iy/spf3mxyfmPj/9kjXlfLV3OiTe+ENWuy2bzLbbi78/8Z435Pz31dH56as4vc2XhmV8985l5r2vbJbK8nzh4aNblfQ+5dNXPp1/xAKdf8UBUu66otm3bMnPOgko3Y5Wk5z3OAsevaqlhDXe5rCGe9xrnmffM15I05D3OMTivAn0kbSSpFXAMwSAhVyNiGmGfVJ53V0t5B898zUt6H9/sERxJ7bP9opmteQex1Zcvl3Qm8DTQArjLzJJ1TaeLVdKr+8ZKybzn3UG6Mu99vCtV0vOe7RTVZILzqZnvoOG1ATnvi25mTxKMfHa1Jp1XjpSUec97jUtf5r2Pd8VLQd6bLXDMrGdzy5zLRSTjEGUhPPOuFGnLvOfdlSINec9rDI6k51ePHwAAIABJREFUYyRdGP7cQ9KO8TbLVYMWdco6JZln3hXD8+5qSdL7+JwFjqSbgX2BhjvhLQFuj7NRrjqUehOoSvHMu2J53l0tSXofn89l4ruZ2Q6SXgMws4XhiHnnmiWRiAq+SJ55V7AUZ97z7gqWhrznU+Ask1RHeAMnSZ2AlbG2ylWFpJ+fzcIz74qS0sx73l1Rkp73fMbg3AL8HVhf0uXAS8A1sbbKpZ6AOinrlGCeeVewXJlPMM+7K1ga+vicR3DM7B5JE4AfhLOONLO34m2WqwYJP3rZLM+8K1YaM+95d8VKet7zfVRDC2AZwSHMOO9+7KqFUv/gQc+8K0y6M+95d4VJQd7zuYrqImA40J3gWSMPSBocd8NcuqXh8GVzPPOuGGk9ReV5d8VIQx+fzxGcnwI7mtkSAElXAhOAq+JsmEu/pFf3WXjmXVFSmnnPuytK0vOez6HIj1i9EGoJvB9Pc1y1yHV/hHyKe0lnS5os6S1JwyW1Dh/sN07SNEkjY7qc1TPvChbFPUEqlHnPuytYFH183LI9bPMGgvOxS4DJkp4OXx9AMMreuaxalJBwSfXAb4AtzOxrSQ8SPK34YOAGMxsh6XbgVOC2KNrrmXelSlPmPe+uVKXkHYKCHvg5Qe7eBE4GugEjgI7AROAEM/u2mO1nO0XVMIp+MvBExvyxxezI1Z4I7pHQEmgjaRnQFpgN7AccFy4fBlxGRAUOnnlXopRl3vPuSlJK3stR0Gd72OadxWzQOQiCn8ddLjtLGp/xeoiZDQEws5mSrgc+Br4GniEYF7DIzJaH688A6qNqs2felSKPzDebdyh/5j3vrhR59vG5xFrQ5xxkLGkT4EpgC6B1w3wz26yYHbrakUdxP9/M+jX9u1oPGARsBCwCHgIGNrGqldDEJnnmXbFyZL7ZvAe/W5nMe95dsUo5YFmOgj6fQcZDgbsJrgobCDxIcH7MuWaJkp80+wPgAzObZ2bLgH8AuwEdJDUU5j2AWTE0fyieeVegXJnPQ6UyPxTPuytQnn18Z0njM6bTVv3+6gV9d2AdIi7o8ylw2prZ0wBm9p6ZXUzw5FnnspKUdcrhY2AXSW0VrDwAeBt4DjgiXOdE4JEYmu6Zd0UpIe9Qucx73l1R8ujj55tZv4xpSMavx17Q53MfnKXhh+09Sb8EZgJdit2hqw1SaSPszWycpL8RjKJfDrwGDCEYDDlC0h/DeXGMI/DMu4KlOPOed1ewUvNORkFPcIpqADCe7wr6EZRY0OdT4JwNtCMY7Xwl8D3glGJ36GpHqReUmNmlwKWNZr8P9C9tyzl55l1RUpp5z7srSoljcGIv6PN52Oa48McvgBOK3ZGrPUm/y2VzPPOuWGnMvOfdFavUvMdd0Ge70d/DZBncY2Y/jqIBrjqJZDyLpBCeeVeKtGXe8+5KkYa8ZzuCc3PZWhH6Xuu1OGiLbuXebeyOPfHKSjchFksXfdb8QqXy22xZM7/dRp14+d6flXOXZbHeTmdWugmVkb7MlzXv2/TtyTP/vqGcuyyL9QZeW+kmVEYK8p7tRn+jy9kQV33yuUQvSTzzrlRpyrzn3ZUq6XnPZ5CxcwVruEeCc7XCM+9qSRry7gWOi03Cs+9c5DzzrpYkPe95FziS1jazpXE2xlUPKfnVfS6eeVeItGfe8+4KkYa85zyFJqm/pDeBaeHrbSX9JfaWudSTsk9J5Zl3xfK8u1qS9D4+nzFCNwE/BBYAmNnr+G28XQ4CWkpZpwTzzLuC5cp8gnneXcHS0Mfnc4qqzsw+avQslRUxtcdVkQTku1ieeVeUlGbe8+6KkvS851PgfCKpP2CSWgC/Bt6Nt1ku7aTk3wQqC8+8K1iKM+95dwVLQ97zKXB+RXAIc0NgDvBsOM+5rFok/SYJzfPMu6KkNPOed1eUpOc9n2dRzQWOKUNbXBURJL66b45n3hUjrZn3vLtipCHvOQscSXfQxPNKzOy0WFrkqoOSX903xzPvipLSzHveXVFSkPd8TlE9m/Fza+Bw4JN4muOqiUh2dZ+FZ94VJaWZ97y7oiQ97/mcohqZ+VrSvcCo2FrkqoKAlgmv7pvjmXfFSGvmPe+uGGnIezHN2wjoFXVDXPWRlHXKcxsdJP1N0hRJ70jaVVJHSaMkTQv/XC/mt+KZd3kpNe8J4Xl3eYmij49TPmNwPuO787N1wELggjgb5dJP0Z2fvRF4ysyOkNQKaAtcCIw2s6slXUCQx/Mj2RueeVecKDIvqQPwV2ArggyeAkwFRgK9gQ+Bo8zss9L2tNo+Pe+uYBH28bHJWuAoKMG2BWaGs1aa2RqD0ZxrSqkj7CW1B/YCTgIws2+BbyUNAvYJVxsGPE9EBY5n3pUigqtKylrQe95dKSLo42Mt6LPWX2HQHzazFeHkwXd5EUF1n23Kw8bAPOBuSa9J+qukdYCuZjYbIPyzS1Tt9sz///buPE6K6mz7+O9iEETBACKIoIKKuD0qiErcEzfcMY9G3DVG3KIxLlHUuMZoYt6oeTQajApmEdHEaNwVF8QAiriLCOKGojAgiIDKcr9/VA02MNPd07V0dff99VMfpqurq07DNce7T1WfcqUqlPmCr/+uoL8dgoLezOYChxAU8oR/DoyrzZ53V6qY+viGgn4zgkJ7EkEBP8rMegGjiDCaWEwTXpTUt9QDuFolWhRYgE6SJuQsK38ttSXQF7jFzPoAC0hn6Nwz70pQMO+FpF7QhzzvrgRF9fFNvzqFgr7JU1SSWprZEmAX4GRJ7xH8D0ZBW8x/IVyTijw/W29m/fI8Px2Ybmbjw8f3ERQ4n0vqamYzJHUFZkZuMJ55F00Rme8kaULO46FmNjTncUNBf6aZjZd0IwkW9J53F0WRfXy+zOcW9NsALwM/Z6WCXlLJBX2+a3BeJPhli2041NWWqOdnzewzSR9L6m1mk4E9gbfD5Xjg2vDPB6K2NeSZd5EUyHymCno87y6iIvr4fJlPvKDPV+AIwMzei/OA5dZ7kx60a9uOuro6WrZsyQvjJxR+UYbcetnR7LfbVsyaM59+h/9mhefOPnZPrjnnULr/4AJmz13AoP36cc4JewOwYNE3nPWbe3jj3U8a223sgvOzsXxN8Ezg7+EFl9OAEwlOrY6UdBLwEXB4HAeiSjN/0x9v5M47bsPMOPEnJ3Pmz88ud5OK1ljeLz39AA7cfWuWmTFrznwGX/Y3Zsyax1ptV+eOXx/P+l070LKujhvuGsVfHxyXWlujZr4MBX1V5P3np5/Mk489Qqd11mH0+FeXr//LrTdzx9A/0bJlS/badz8uveraMrayeLeeO4D9dtyYWXMX0m/wnQBcevwuHLjTJkHm5y5k8HWPMmP2V2y6fkeGnrcf227ShcvvfJ4b7nsptXbG0McnXtDnK3DWkXROU0+a2R9KPWi5PfbUM3Tq1KnczSjJX/8zjlvveY6/XHXcCuu7d2nPD/tvxkcz5ixf98Gns9nnpzcwd/4i9tl5C26+5Eh2O+73qbU1jmkQzOxVoLFPAHtG3/sqqi7zb735JnfecRvP//dFWrVqxcEHDGC//Q9gk169yt20ojSW9+uHj+LKPz0MwOlH7s6Qwftx1tUjOOXHu/HOtM847Ow/06lDW167/1eMeOQlFi9Zmlp7Y8h8mgV9VeR90NHHcdLg0/nZKScuXzdm9LM89sh/eGbsRFq3bs2sWXENeiXvr0+8ya0PvMJffrn/8nXX3/siVw4fA8DpA/sy5JidOOvGJ/hi/tece/MoDtq5PL/PUfKeRkGfr8CpA9pCxudirjEvTHyPDbp2XGX97877Xy6+8d/ce/131+mOe+395T+/+Pr7dOvSPpU2Qnh+NgMTPTVT1WX+nXcmscMO/VljjTUA2HW33Xnggfs597xflrllxWks7/MXfL385zXatKbhiz8GtF2zNQBrtmnNF/MWsmTpstTaGkfmUy7oqyLv3995Vz768IMV1g2//c+c+Yvzad06yMM668R9XXZyXnhjOht0WWuFdfMXfrv85zVWX2155mfNXcisuQsZsOPGqbYRYuvjEy3o8xU4M8zsylJ3nFWSOGi/fZDESSefwkknV/795A7Y/X/4dObcvKefThi4E4+/8HaKrarIXrPqMr/llltx+aUXM3v2bNq0acNjjz5C3+3yXQZSGS4/4yCOPnAH5n21iAGD/wjArSOe474bTmHaE1fTbs3VOfaCO5b/jyAtFZb5qst7g/emTmH8f8dwzZWXsvrqq3PZr39LnwrP/eUn7srRe23JvAXfMOD8EeVuDhA970kX9PmugY7Udkl3SJop6c0o+4nb08+9wNiXJvLvhx7lz7fczJjnR5e7SZG0WX01LjhpX6685eEmt9mtXy+OH/h9LrkxrlP3hYmgus+3ZFDVZX6zzTfn3PMu4MABe3PwAQPYeuttaNmymHvsZtvlN/+HXvv9ihGPTuDUI3YDYO+dNuf1ydPZaJ+L2XHQNVx/4eG0W3P11NpUKPMZVHV5b7BkyRLmzp3Lo0+P4dKrruXkE45KvdiN2+V3Pk+vo29lxNNvc+oh5f+CWyX08fkKnKgV1DBgQMR9xG699dYDoHPnzhw88FBeeunFMrcomo26r8OG3dbmxXuG8M7DV9Ctc3vG/uMCuqzdDoCteq3HLZcexeG/GMqceQtSbZuUf8mgqsz8CT85ibEvTeSpZ0bToWNHNtmkMq6/KcbIR19i4J7bAnDswf154OnXAJj2cT0ffDKb3j26pNoez3s2rLdedw44eCCS6Ntve1qoBbNn15e7WbEY+fQkBu6yabmbAWS/j2+ywDGzOU09VwwzG01wT5PMWLBgAfPnz1/+81NPPsGWW25V5lZF89bUT9lwzyFsdsBlbHbAZXwycy7fP+q3fD57Puuv24ERvz+Zk351F1M/SvciO5G/ss9Cdb+yasw8wMyZwb/9Rx99xAP//hc/HnRkmVsUzcYbrLP85wN235p3P/gcgI8/+4I9dugNQOeO7di0Rxfe/yS9/6kVynzWVGveAfY78GDGPPcMAO9NeZfFi79l7bUr84slABt3++5+wgd8fxPe/bj8f+2V0MeXfaw6nL12MMD6G2yQ6LFmfv45Rxx2KABLli7hiEFHsc++mfwA0qTh15zArtv1olP7tkx97CquuvURhv97bKPbDhm8Hx3br8kNQ44AYMnSZexy9O9Sa2sW7iabNWnmvcGRP/5f5syZzWotV+OGP95Mhw5J33w9Po3lfcAuW9Jrw84sW2Z8NGMOZ10dXI9w7W2PMfSKY3hp5EVIcPGNDzB7btqjlp75XLl5775+Mnk/5cRj+O+Y0cyZXc+2m/Xk/Isu5chjT+Ds009mtx23pVWrVvzx1tsr5t9m+EUHsevW69Ppe22Y+o/TuOquMQzYYSN6de/IMjM++vxLzrrxCQC6dFiTF24+jnZrtGKZGT/7UT/6/PT2FS5KTlLW/06V5HlJST2Ah8ysqGGS7bbrZ5U2L00xOmz/s3I3IRHfTB7JsoUzG034xltuY7/9x2N5X3/4tuu9XGDis4rTnMx73ivP16/e3GRmC2W+1vO+bd/t7Inn0puXKC0b/uj6cjchMV8/dUHJeYfyZ77sIziuOonibnTmXLXwzLtaUgl59wLHJSbqrRqcqzSeeVdLsp73xAowSXcDY4HekqaHk/a4GpL1K+zj5pl3nndXS7Lexyc2gmNmlf1VDRdJwxwJtcQzX9tqLfOe99pWCXn3U1QuIUKVNq+rc5F45l0tyX7evcBxiaiE6t65OHnmXS2phLx7geOSkZFzsM6lxjPvakkF5N0LHJeYrIffubh55l0tyXrevcBxiaiE4Uvn4uSZd7WkEvLuBY5LTNYvQHMubp55V0uynvesT0ToKlgLKe9SDEl1kl6R9FD4uKek8ZKmSLpHUqtE34RzzRA1785Vkjj6+ETbV+4GuOokoIXyL0X6OTAp5/FvgevNrBfwBeCTi7lMKJR556pJjH18YrzAcckoUNkXU91L6g4cAPwlfCzgh8B94SbDgYEJvQPnmiemT7M+aukqQgx9fLCb5PLuBY5LjAosQCdJE3KWwSvt4gbgl8Cy8PHawFwzWxI+ng50S/I9ONccBfJeLB+1dBWhiD6+GInl3Qscl4iGK+zzLUC9mfXLWYYuf710IDDTzF5eabcrs2TfiXPFKZT5ovbho5auQhTZx+ffR8J5929RueREOwe7M3CwpP2B1YG1CEZ02ktqGY7idAc+jdpM52KTP/OdJE3IeTw0t6gPNYxatgsf+6ily67CfXyhzCeady9wXGKiXEVvZkOAIQCS9gDOM7OjJd0LHAaMAI4HHojeUufiUSDz9WbWr6knc0ctw8yDj1q6DCuij28y82nk3Qscl5iELqK/ABgh6dfAK8DtyRzGueaLmHkftXQVJet592twXCIESMq7FMvMnjWzA8Ofp5nZDma2iZkdbmbfJPUenGuOQpkvxMyGmFl3M+sBDAKeNrOjgWcIRi3BRy1dRkTt49PIuxc4LhnhjdjyLc5VleTyfgFwjqSpBNco+KilK7/k+vjY8u6nqFxivIhxtSauzJvZs8Cz4c/TgB3i2bNz8cl63r3AcQlR5u9T4ly8PPOulmQ/717guEQ0TOPtXK3wzLtaUgl59wLHJSfj4Xcudp55V0synncvcFxisnA3WefS5Jl3tSTrec9UgTNx4sv1bVbThykdrhNQn9Kx0pTm+9ow35PZjn75ed5j45mvAK+9MrG+y1qt0so7VG/mPe9FylSBY2brpHUsSRPyzSpaqTLzvkSz5rqpRZ73eGTmvXnm80oz75ChXMQsM++rAvKeqQLHVY9gEqhyt8K59HjmXS2phLx7geMSk/XwOxc3z7yrJVnPey0XOCvfxbdaZOZ9ZX2OhBqTmVwkIDPvzTOfKZnJRcwy876ynveaLXBWumV71cjS+8r6HAm1JEu5iFuW3ptnPjuylIs4Zel9ZT3vNVvguBRkPPzOxc4z72pJxvPuBY5LhJT9ORKci5Nn3tWSSsh7zd1NXNIASZMlTZV0YbnbExdJd0iaKenNcrelgQosLh2e+fR43svP856erPfxNVXgSKoDbgb2A7YAjpS0RXlbFZthwIByN+I7Qsq/uOR55tPkeS83z3uast/H11SBQ3AL9qlmNs3MvgVGAIeUuU2xMLPRwJxytyOXlH8p/HqtL+kZSZMkvSXp5+H6jpKelDQl/LND0u+lgnnmUxQl7y4WnvcURe3jk1ZrBU434OOcx9PDdS5mhYYui8z+EuBcM9sc6A+cEX4auxAYZWa9gFHhY9c4z3xKsj5cXyM87ymJqY9PVK0VOI39nVvqragRUYcvzWyGmU0Mf54PTCLorA4BhoebDQcGJvQWqoFnPkVZHq6vEZ73FEXp49MYoa+1Amc6sH7O4+7Ap2VqS9UrYviyk6QJOcvgpvelHkAfYDzQxcxmQFAEAZ0TfzOVyzOfoiwP19cIz3uKIp6iSnyEvta+Jv4S0EtST+ATYBBwVHmbVKVU1CRQ9cXcNE5SW+CfwNlm9qV/Gm4Wz3xaist80y+X1gfuAtYFlgFDzexGSR2Be4AewAfAj83si6jNrVKe97REzHv44bThg+p8Sbkj9HuEmw0HngUuKOUYNTWCY2ZLgJ8BjxOc7hhpZm+Vt1XxkHQ3MBboLWm6pJPK3aY4ztBKWo2guPm7mf0rXP25pK7h812BmfG2u3p45tMWKe9+zVlEnve0FezjixqlT2qEvtZGcDCzR4BHyt2OuJnZkeVuQy4RfRpvBUM1twOTzOwPOU89CBwPXBv++UC0I1U3z3w6omY+jU+0tcDzno4i815wlD7JEfqaK3BcemLI6c7AscAbkl4N111EUNiMDD/BfAQcHvlIzsWgQOY7SZqQ83hoU/cVyveJVpJfc+YyIWofn2+EPsx6pBF6L3BcYqJW4mY2hqbH9veMtHPnElAg837NmasqUbKZxgi9FzguMd4tu1oTNfNJf6J1Lk4R8574CL0XOC4RlXAjNufiFDXzfs2ZqyRR857GCL0XOC45Xt+4WhMt837NmassGe/jq/Jr4pKWSnpV0puS7pW0RoR97SHpofDng5Xn7rSS2ks6vYRjXC7pvGLXr7TNMEmHNeNYPZTS3WhbKP/i4uF5z7t9anmHaHk3szFmJjPb2sy2DZdHzGy2me1pZr3CPzN1P6K0ed7zbp+ZvGehj6/KAgdYFHYOWwHfAqfmPqlAs9+7mT1oZtfm2aQ90OxfgOqkgv+52HjeM8HznhLPeyZkv4+v1gIn1/PAJmFlO0nSn4CJwPqS9pE0VtLE8JNAWwBJAyS9I2kM8KOGHUk6QdJN4c9dJN0v6bVw2YlgKHnj8NPFdeF250t6SdLrkq7I2dfFkiZLegroXehNSDo53M9rkv650qeWvSQ9L+ldSQeG29dJui7n2KdE/YtsDhF5Gm9XGs97GfIOhTPvEuF5z2jes5D5qi5wJLUE9gPeCFf1Bu4ysz7AAuASYC8z6wtMAM6RtDpwG3AQsCvBtOmN+SPwnJltA/QF3iKYYfS98NPF+ZL2AXoBOwDbAttJ2k3SdgRTiPch+AXbvoi38y8z2z483iQgdxbLHsDuwAHAreF7OAmYZ2bbh/s/WcH05anJevirjee9vHkHz3uaPO/ZznsWMl+tFxm30XcX6T1P8M2E9YAPzWxcuL4/sAXwgoJ/iVYE02BvBrxvZlMAJP0NaGx66R8CxwGY2VJgnla96+k+4fJK+LgtwS9EO+B+M1sYHuPBIt7TVpJ+TTBM2pZgKvIGI81sGTBF0rTwPewDbK3vzt9+Lzz2u0UcKzr/FlWaPO/lzjt45tPjefe8F6VaC5xFZrZt7oow5AtyVwFPrjz9taRtAYupHQKuMbM/r3SMs0s4xjBgoJm9JukEvpu6nUb2ZeGxzzSz3F8UFMyQmjiR+Qvsq4nnvcx5B898ijzvnveiVPUpqgLGATtL2gRA0hqSNgXeAXpK2jjcrqn7f4wCTgtfWydpLWA+QfXe4HHgJznnfrspmGZ9NHCopDaS2hEMlxbSDpihYCKwo1d67nBJLcI2bwRMDo99Wrg9kjaVtGYRx4mNpLyLS5XnPQWe98zwvKcg6318tY7gFGRms8JK+W5JrcPVl5jZuwruePqwpHpgDLBVI7v4OTBUwdwUS4HTzGyspBcUfE3v0fA87ebA2PAf+yvgGDObKOke4FXgQ4Jh1kJ+RXBfmg8Jzjnn/qJNBp4DugCnmtnXkv5CcO52ooKDzwIGFve3E48M5NuFPO/p8Mxng+c9HVnPu8ziGq1z7jt9t+tnY8a9lHebNVu1eLmYe/M4VwkKZd7z7qpJJfTxNTuC45KXhXkQnEuTZ97Vkqzn3UdwXCIkPQZ0KrBZvZkNSKM9ziWtiMx73l3VqIQ+3gsc55xzzlWdWv4WlXPOOeeqlBc4zjnnnKs6XuA455xzrup4geOcc865quMFjnPOOeeqjhc4zjnnnKs6XuA455xzrup4geOcc865quMFjnPOOeeqjhc4zjnnnKs6XuA455xzrup4geOcc865quMFjnPOOeeqjhc4zjnnnKs6XuA455xzrup4geOcc865qtOy3A1w1alurQ3NlizKu40tmvW4mQ1IqUnOJapQ5j3vrppUQh/vBY5LhC35mtabDcq7zdev/F+nlJrjXOIKZd7z7qpJJfTxXuC4ZAiQyt0K59LjmXe1pALy7tfguOS0qMu/FCDpDkkzJb3ZyHPnSTJJncLHkvRHSVMlvS6pbwLvyLn8IuTduYoTsY9PvHnlboCrVgK1yL8UNgxY5fytpPWBvYGPclbvB/QKl8HALZHfgnPNUiDzzlWVWPr4RJW/Ba46icjVvZmNBuY08tT1wC8By1l3CHCXBcYB7SV1jeGdOFecQpl3rprE0McnzQsclxAF52fzLdBJ0oScZXDBvUoHA5+Y2WsrPdUN+Djn8fRwnXMpKZj3/K/2U7KuohTVx+ffQ8KZ94uMXXIKV/D1Ztav2N1JWgO4GNinsacbWWeNrHMuOdE+tQ4DbgLuyl1ZxCnZHQlOye4Y5eDONVv0UZphJJh5H8FxCUnk/OzGQE/gNUkfAN2BiZLWJRixWT9n2+7ApxHfhHPNEO0aHD8l6ypL9D4+6cz7CI5LRsP52RiZ2RtA5+WHCIqcfmZWL+lB4GeSRhBU9fPMbEasDXAunwQyn3tKVisO+Td1StYz79KRQN4h3sx7geMSoshX0Uu6G9iD4Fqd6cBlZnZ7E5s/AuwPTAUWAidGOrhzzVYw850kTch5PNTMhja5Nz8l6zKtqD6+rJn3AsclQ0BdtOrezI4s8HyPnJ8NOCPSAZ2LonDmm3XNGSuekoXvTsnugJ+SdeVWXB9f1sz7NTguORGvsHeu4sSYdzN7w8w6m1mPsJifDvQ1s8+AB4Hjwm+W9MdPybpyiLmPjzvzXuC4hCjzcyQ4F68CmS/06uCU7Figt6Tpkk7Ks/kjwDSCU7K3AafH8Q6cK170Pj7pzPspKpecDMxk6VyqImTeT8m6ihOxj086817guGT4aShXazzzrpZUQN69wHHJ8dNQrtZ45l0tyXjea/IcgqQ2kv4jaZ6keyPs52hJT8TZtnKRtKukyTHuMYmJ/lyJPPOrSj3zLjWe91XVYh9f/hbkIemo8B5FX0maIelRSbvEsOvDgC7A2mZ2eKk7MbO/m1lj39fPlPB+Hpvk28bMnjez3vEdFL/IuASe+XhkMvNuFZ73eGQy7xnIfGYLHEnnADcAvyEI6gbAnwima45qQ+BdM1sSw74qnqQETlVmv7rPGs98esqSebcCz3t6arWPL38LGiHpe8CVwBlm9i8zW2Bmi83sP2Z2frhNa0k3SPo0XG6Q1Dp8bo/wK2fnhncqnSHpxPC5K4BLgSPCTw0nSbpc0t9yjt8jrIhbho9PkDRN0nxJ70s6Omf9mJzX7STppXBY9CVJO+U896ykqyTPITiAAAAgAElEQVS9EO7nCYV3SW3k/Te0/5c57R8oaX9J70qaI+minO13kDRW0txw25sktQqfGx1u9lr4fo/I2f8Fkj4D7mxYF75m4/AYfcPH60mql7RHs/4hM17dZ4lnvgYy75bzvNdA3jOQ+UwWOMD3gdWB+/NsczHQH9gW2AbYAbgk5/l1ge8R3KviJOBmSR3M7DKCTwz3mFnbPFP/AyBpTeCPwH5m1g7YCXi1ke06Ag+H264N/AF4WNLaOZsdRXALgc5AK+C8PIdel+DvoBvBL+ttwDHAdsCuwKWSNgq3XQr8AuhE8He3J+EcAWa2W7jNNuH7vSdn/x0JPukMzj2wmb0HXAD8XcHU2XcCw8zs2TztXZVP9Nccnvlqz7zL5Xmv9rxnIPNZLXDWJpjiOd/w4tHAlWY208xmAVcAx+Y8vzh8frGZPQJ8BZR6/nEZsJWkNmY2w8zeamSbA4ApZvZXM1tiZncD7wAH5Wxzp5m9a2aLgJEEv7hNWQxcbWaLgREEwb7RzOaHx38L2BrAzF42s3HhcT8A/gzsXsR7uszMvgnbswIzuw2YAowHuhJ0NsWTT/TXTJ75as+8y+V5r/a8ZyDzWS1wZhPcpCvfecP1gA9zHn8Yrlu+j5V+eRYCbZvbEDNbABwBnArMkPSwpM2KaE9Dm7rlPP6sGe2ZbWZLw58bwvl5zvOLGl4vaVNJD0n6TNKXBJ9eGh0azTHLzL4usM1twFbA/5nZNwW2XYWkvItbgWe+yjPvVuB5r/K8ZyHzWS1wxgJfAwPzbPMpwdBbgw0o/WZzC4A1ch6vm/ukmT1uZnsTVLnvEISiUHsa2vRJiW1qjlsI2tXLzNYCLoJG77yaK+9dWCW1JbgA8Hbg8nB4tmgSqIXyLm4FnvnmqbjMuxV43pun4vKehcxnssAxs3kE5yRvDi+8WkPSapL2k/S7cLO7gUskrRNeyHUp8Lem9lnAq8BukjZQcPHbkIYnJHWRdHB4nvYbgmHQpY3s4xFgUwVfe2wp6QhgC+ChEtvUHO2AL4Gvwk8ep630/OfARqu8Kr8bgZfN7KcE551vbd7L81f2Wajus8Qz32wVl3n3Hc97s1Vc3rOQ+UwWOABm9gfgHIKLymYBHwM/A/4dbvJrYALwOvAGMDFcV8qxngTuCff1MisGtgVwLkH1PofgvOcqN/kys9nAgeG2s4FfAgeaWX0pbWqm8wgubptP8MnjnpWevxwYruAK/B8X2pmkQ4ABBEO2EPw79FX4zYJitWjRIu/iVuSZb5aKy7xbkee9WSou71nIvMzyjmI5V5K6jj2t7b5X5t3myxHHvWxm/VJqknOJKpR5z7urJpXQx5e/xHJVScp/braY87OS7lAwR8SbOeuuk/SOpNcl3S+pfc5zQyRNlTRZ0r4JvTXnGlUo885Vkzj6+KR5geMSE8P52WEEw6i5ngS2MrOtgXcJz6VL2gIYBGwZvuZPksr/PUVXU7J8PYJzcfNrcFzNinp+1sxGE5wTz133RM5XQ8cB3cOfDwFGhHM+vA9MJZgYzLnURMm7j1i6ShO1j086817guGSoiCWYB2NCzjK4ib015SfAo+HP3QguUmwwnRXnp3AuWYXzXsgwfMTSVYri+vhChpFg5hO4AVfp1LKNqVW7cjcjdn0236DcTUjEhx9+QH19faMxFiqmgq8v9QI0SRcDS4C/Lz/kqjJ9Bb3nvfJMnPhyvZmt09hzRWa+SWY2WlKPldY9kfNwHMFdsiFnxBJ4X1LDiOXYkhuQMM975Uky75B85rNV4LRqR+veBb/hVnFeGH9TuZuQiJ13zF+bJHUOVtLxBF/X3NO++xrgdGD9nM26U/qkYKnwvFeeNqtp5ZlsV1Ag850kTch5PNTMhjbj8D/hu68HdyPo/BtkfsTS8155IuYdypz5TBU4roqEs1zGvltpAMFN4nY3s4U5Tz0I/EPSHwimVO8FvBh7A5xrSuHM1/SIpasyxfXxZc28FzguMVFHcCTdDexB8ClgOnAZwfnY1sCT4f7HmdmpZvaWpJHA2wS/FGfk3OfFuVQkMWpZLSOWrvpkfZTeCxyXiJjOzx7ZyOrb82x/NXB1pIM6V6I4Mr/KPn3E0mVUEnmHeDPvBY5LTvmnQXAuXREy7yOWruJE7OOTzrwXOC4ZIhP3InEuNREz7yOWrqLE0McnnXkvcFxisjCTpXNp8sy7WpL1vHuB4xKThXuROJcmz7yrJVnPuxc4LhFZuReJc2nxzLtaUgl59wLHJcavwXG1xjPvaknW8+4FjktOtot75+LnmXe1JON59wLHJSbrw5fOxc0z72pJ1vPuBY5LhAQtMn4BmnNx8sy7WlIJefcCxyUk+xegORcvz7yrJdnPuxc4LjFZr+6di5tn3tWSrOfdCxyXDAVDmM7VDM+8qyUVkHcvcFwiBNTVZTz9zsXIM+9qSSXk3Qscl5isn591Lm6eeVdLsp53L3BcIirhCnvn4uSZd7WkEvKe7WkIS3TrZUfz4ahrmHDvRas8d/axe7LolZtYu/2aAOy6XS8+G30d40ZcyLgRFzJk8IC0mxubpUuX0r9fH350yIHlbgoNV9jnWwruQbpD0kxJb+as6yjpSUlTwj87hOsl6Y+Spkp6XVLfBN9c5jQn82u1XZ37bjiF8fdcyMv3XcyxB/dPu7mxOOWnP2GD9Tqz3bZblbspoWh5d8XzvGdB9D4+aVVZ4Pz1P+M45IybV1nfvUt7fth/Mz6aMWeF9S+88h79B11L/0HXcs3Qx9JqZuxu+uON9N5883I3Y7kWLZR3KcIwYOWK80JglJn1AkaFjwH2A3qFy2DglljeRIVoTuZP+fFuvDPtM3Y84lr2PflGrj3nUFZrWZdmc2Nx7PEn8MBD2fp9jZJ3L+iL53nPhqh9fNKZr8oC54WJ7zFn3sJV1v/uvP/l4hv/jZmVoVXJmj59Oo89+jAn/uSn5W5KILzCPt9SiJmNBuastPoQYHj483BgYM76uywwDmgvqWs8byb7mpN5A9qu2RqANdu05ot5C1mydFlaTY3NLrvuRseOHcvdjO9EzDte0BfN854BMfTxJJz5qixwGnPA7v/DpzPn8sa7n6zy3I5b92T8PRfy75tOY/ON1i1D66I7/9yzufqa32Xm5meiqOq+k6QJOcvgInbdxcxmAIR/dg7XdwM+ztlueriuZjWV+VtHPMdmPddl2hNXM+HeizjvuvuqsuhPW6HMF+IFfTSe93QV2cfnlXTmE/2/oaQBkiaHQ0oXFn5FMtqsvhoXnLQvV97y8CrPvfrOx/Te/1fseMS13DLiOUZeX8z/Y7PlkYcfovM6nem73XblbsoKijg/W29m/XKWoVEO18i6VHuxrOQd8md+75025/XJ09lon4vZcdA1XH/h4bRbc/UytLL6JHA9QqYL+qxk3vNeHgldgxNb5hMrcCTVATcTDCttARwpaYukjpfPRt3XYcNua/PiPUN45+Er6Na5PWP/cQFd1m7H/AVfs2DRtwA8PuZtVmtZt/zitEox9r8v8NBDD9J7kx4cd/Qgnn3maU487pjyNkqxXIPTmM8bqvbwz5nh+unA+jnbdQc+Lbn9zZSlvEP+zB97cH8eePo1AKZ9XM8Hn8ymd48u5Wpq9SiQeUobscxztFWkXdBnJvOe9zIoro8va+aT/Jr4DsBUM5sGIGkEwRDT2wkes1FvTf2UDfccsvzxOw9fwc5H/47ZcxfQZe12fD57PgD9ttyQFhKz5y5Iu4mRXHX1NVx19TUAjH7uWW74w++5866/lbVNIrFZLh8EjgeuDf98IGf9z8Kc7QjMa/gUkJLM5B3yZ/7jz75gjx1688Ir79G5Yzs27dGF9z+pL0czq0oRma83s37N3O3nkrqa2YwsFfShzGTe856+Ivv4smY+yVNURQ0nSRrcUN3ZkkWxHHj4NSfw7PBz2XTDLkx97CqOH/j9Jrc9dK8+vHzfxYy/50L+3y8P47ghd8bSBpe/si/yCvu7gbFAb0nTJZ1EUNjsLWkKsHf4GOARYBowFbgNOD2Jd5VH2fIOzcv8tbc9Rv9tevLSyIt45M9ncvGND1RcUQ9w3DFHsseu3+fdyZPZuEd3ht1xe5lblMiIZUNBD6sW9MeF3yzpT/oFPRSRec97fCot71nIfJIjOEUNJ4XXXQwFaLFG51iGWI8fMizv85sdcNnyn2+9ZzS33jM6jsNmwm6778Fuu+9R7mYA0We5NLMjm3hqz0a2NeCMSAeMpmx5h+ZlfsaseRx0+qpfsa00d/3t7nI3YRVRMh8W9HsQDOtPBy4jKOBHhsX9R8Dh4eaPAPsTFPQLgRNLb3XJCmbe8x6fast7+PpEM59kgZOFIVRXJpUwy2XMPO81LmrmK6ygB898TYujj08680meonoJ6CWpp6RWwCCCISZXIxK6wj6rPO+ulvIOnvmal/U+vskRHElr5XuhmX1Z4Pklkn4GPA7UAXeY2VsltdJVpEobwYmSec+7g8rKvPfxLqqs5z3fKaq3CM6n5r6DhscGbFBo52b2CMF5M1drip/JMksiZd7zXuMqL/Pex7vSVUDemyxwzGz9pp5zrhAR6Sr6svDMuygqLfOedxdFJeS9qGtwJA2SdFH4c3dJ2Zoy12VSCynvkmWeeVcKz7urJVnv4wsWOJJuAn4AHBuuWgjcmmSjXOVruMI+gTkSEueZd6UolPms8ry7UlRCH1/M18R3MrO+kl4BMLM54RXzzuWVgXyXyjPvSlKhmfe8u5JkPe/FFDiLJbUgnMBJ0tpA5d1r3qUuCxV8iTzzriQVmnnPuytJ1vNezDU4NwP/BNaRdAUwBvhtoq1yFU8EF6Hl+y/DPPOu2QplPsM8767ZKqGPLziCY2Z3SXoZ2CtcdbiZvZlss1zFk6jLeHXfFM+8K0mFZt7z7kpSAXkv9lYNdcBigiHMJGc/dlUkAxfRR+GZd81WwZn3vLtmy3rei/kW1cXA3cB6BPca+YekIflf5WqdyP5XCJvimXelKJT5rPK8u1JUQh9fzAjOMcB2ZrYQQNLVwMvANUk2zFW+rF+Alodn3pWkQjPveXclyXreiylwPlxpu5bAtGSa46qFKmAa7zw8867ZKjjznnfXbJWQ93w327ye4HzsQuAtSY+Hj/chuMreubzqsp7+lXjmXVSVlHnPu4sq63nPN4LTcBX9W8DDOevHJdccV00UMfySfgH8lKDTfQM4EegKjAA6AhOBY83s22gtXc4z7yKpsMx73l0kWc97vptt3l7KDp2DIPhRvkIoqRtwFrCFmS2SNBIYBOwPXG9mIyTdCpwE3BJHmz3zLopKy7zn3UVRCXkv5ltUG0saIel1Se82LKUczNWWhnO0TS1FaAm0kdQSWAOYAfwQuC98fjgwMP52e+ZdaSLmHcqQec+7K1XW+/hi5jsYBtxJ8K2w/YCRBMNHzjVJQF0L5V2ATpIm5CyDG15vZp8Avwc+Igj9PIJvdsw1syXhZtOBbgk0fxieeddMhTJPnrxDWTM/DM+7a6ZK6OOL+RbVGmb2uKTfm9l7wCWSni/1gK52FHF+tt7M+jXx2g7AIUBPYC5wL0HnuzKL0sYmeOZdSQpkvsm8h68tV+Y9764kWe/jiylwvlHwLt6TdCrwCdC51AO62iBFvsJ+L+B9M5sV7E//AnYC2ktqGVb43YFPIzd2VZ5512wVnHnPu2u2Ssh7MaeofgG0JbgYaGfgZOAnpR7Q1Y6I52c/AvpLWiPsfPcE3gaeAQ4LtzkeeCCBpnvmXUkiXo9Qrsx73l1Jst7HF3OzzfHhj/OBY0s9kKs9UWa5NLPxku4j+JrgEuAVYCjB11lHSPp1uC72b4J45l2pKjHznndXqqznPd9Ef/eT59yXmf2o1IO66iei34vEzC4DLltp9TRgh0g7boJn3kVRaZn3vLsoKiHv+UZwborjAM2xRa/u/PPR36V92MR1PfHv5W5CIuZ/MKfpJ5X9+5Q0ItXMb7ZJN/56/2/SPGQqNv3Fg+VuQnlUXuZTzfsGG67LJbeen+YhU3HobeMLb1SNKiDv+Sb6G5VmQ1z1KeYCryzxzLuoKinznncXVdbzXsy3qJxrtoY5EpyrFZ55V0sqIe9e4LjEZDz7zsXOM+9qSdbzXnSBI6m1mX2TZGNc9ZCyX90X4pl3zVHpmfe8u+aohLwXcy+qHSS9AUwJH28j6f8Sb5mreDHcp6QsPPOuVJ53V0uy3scXc43QH4EDgdkAZvYa8IMkG+Uqn4CWUt4lwzzzrtkKZT7DPO+u2Sqhjy/mFFULM/twpXtOLE2oPa6KZCDfpfLMu5JUaOY9764kWc97MQXOx5J2AExSHXAm8G6yzXKVTlLmz8/m4Zl3zVbBmfe8u2arhLwXU+CcRjCEuQHwOfBUuM65vDKe/Xw8864kFZp5z7srSdbzXsy9qGYCg1Joi6silTBHQlM8864UlZp5z7srRSXkvWCBI+k2GrlfiZkNTqRFrjoo+9V9UzzzriQVmnnPuytJBeS9mFNUT+X8vDpwKPBxMs1x1UJAXdavQGuaZ941WwVn3vPumq0S8l7MKap7ch9L+ivwZGItclUj69V9UzzzrlSVmHnPuytV1vNeyr2yegIbxt0QV10azs/mWyqIZ94VVCjzRe1Dai/pPknvSJok6fuSOkp6UtKU8M8Oyb4Tz7srLI4+Pum8FzOT8ReS5oTLXILK/qJSD+hqRIEZLosd2SxHh++ZdyWJZ1bXG4HHzGwzYBtgEnAhMMrMegGjwsfxNdvz7koRTx+faN7znqJSMPPTNsAn4aplZrbKxWjOrUxAy3hGaRp+AQ6T1ApYg6DzHWVm10q6kOAX4II4DuaZd6WKmnlJawG7AScAmNm3wLeSDgH2CDcbDjyL592VWSXkPe8IThj0+81sabh48F3Rolb3Ob8At0PwC2Bmc4FDCIJP+OfAuNrsmXdRRPw0uxEwC7hT0iuS/iJpTaCLmc0ACP/sHFd7Pe8uioh9fOJ5L+YanBcl9S31AK5WiRYFFqCTpAk5y8pfS029ww955l0JIue9JdAXuMXM+gALiPl0VBM8764Ekfv4xPPe5CkqSS3NbAmwC3CypPfCBoig8PdfCNckCeoKl8/1ZtYvz/MNvwBnmtl4STeSYIfvmXdRFJH5QnmfDkw3s/Hh4/sI8v65pK5mNkNSV2BmPO31vLvSxdDHJ573fNfgvEjwP5fYhv/LYcYn07ngrJOpn/k5LVq04MfHnMhxJ58BwF9vv4W/3/lnWta1ZPe99uX8X11d5tYW9n8/7c++fbpR/+XX7DTkYQCuHNSHfft0Y/GSZbw/8yvOuG0sXy5cTIe2rRh+5q702Wht7n5+Gr+8a0KqbW0RfY6EVDt8qiTz33zzNSf/eD8Wf/stS5cuYc/9DuGUX1zElRecwaTXX8XM2KDnxlz++1tYY8225W5uXtcdtS17btWF2fO/Ye9rngXggG278ov9e7NJl3Yc/PvRvP7xvBVes16HNoy6+Adc/8hkhj79XqrtjZJ5M/tM0seSepvZZGBP4O1wOR64NvzzgTjaSpXkHeDCgTuz+pptUYsW1NW15JJh/+HPF5/BZx9NA2DR/C9p024tLvvro2VuafMc8j9dGLBFZwQ8NmkW/379M9q2rmPI3r3o0q41n8//hmuemMJX35bn3qhZz3u+AkdhI9LtIWJW17KOCy77DVtu3YevvprP/+67Czvt9kPq62fy9OMP8eCo8bRq3ZrZ9XH9PzJZdz8/jduenMytp+60fN0zb87gipGvsnSZcfkR23LOQVty+T2v8s3ipfzmn6+zeff2bN79e6m2M45pvMvQ4VdF5lu1as2t//gPa6zZliWLF3PS4fuy0x57c84l19C23VoA/OHXFzHyrqGccNo5ZW5tfveO/4jho9/n+mP7LF83ecZ8Bv/lJa4ZtE2jr7n0R1vy7Nvp/z7HNHX9mcDfwwvqpwEnElxKMFLSScBHwOFRDxKqirw3OPfmu2nXvuPyx6dcffPyn0fe+GvatG1XjmaVbMOObRiwRWfO/udbLF66jF8fuBkvfvgFAzbvzKufzOPeV2ZweJ+u/LjvetwxLv15GSsh7/kKnHUkNdn7mdkfSj1omjp36UrnLl0BaNu2HRv36s3nn33KvX8fxsk/O5dWrVsDsHanuC/jSMZ/J89k/U5rrrDumTc/W/7zS1PrOWSHDQBY+M1Sxr07i55dyvOLHdMkl2l2+FWReUnLR2aWLFnMkiWLEVpe3JgZ33y9KLZ/oCS9+N4cundss8K6qZ9/1eT2+2y9Lh/VL2RRmT7RRv0rNbNXgcaG9PeMtudGVUXeCzEzJox6mHNv+ke5m9Is67dvwzuff8U3S5YB8ManX7JTz458v2cHfvnAJACemlzP7w7ZvCwFDmQ/7/nOoNUBbYF2TSwVZ/rHHzLpjdfYpu/2fDBtChPG/5cf7787xxy6L2+8+nK5mxeLY3bfmKde+7TczQjOz0p5l2KY2atm1s/MtjazgWb2hZnNNrM9zaxX+OecmJpdNZlfunQpR+2/C3v324Qdd/kBW/UJ+pArzj+dfbfvxQfvTWHQ8aeUuZXxatOqjtP22oQbHp1cluMXynwGVU3ekbjhrGO56vgDGf3vFQuZKa++yFodO9Flg55lalxpPpyzkK26tqNd65a0btmC7TdozzptW9G+zWp8sXAxAF8sXMz32qxWlvbF1ccnKd8Izgwzu7LUHUu6AzgQmGlmW5W6n7gsWPAVZ510FEOu/B1t263F0iVL+HLeXO55+FneePVlzh58LE+Nfwtl4B+lVOcevCVLlhoj//tBuZsChOPflaVqMl9XV8c/HhnD/C/nct4pxzB18tts0nsLLrvuTyxdupTrLj+fJx76Fwcffkw5mxmrc/bvze3PTGNhmUZvoOIyXzV5v3DoP2m/The+nFPP9Wcdw7obbsymfXYE4MUnHmSHvQ8uZ/NK8vHcr7n3lRn85qDNWLR4KdNmL2Tpsmx9iz/rec83ghO17cOAARH3EYvFixdz1klHcdCPjmCfAw4BoEvXbuy9/8FIYus+/WjRogVfzK4vc0tLN2iXnuyzbTcG3/JCuZsCfHcjtixX942omsw3aLdWe7brvwtjn/vufop1dXXsfcCPePqxB8vYsvj16dGBIYdswQuX78VP9tiIn+3Ti+N365Ha8QtlPoOqJu/t1+kCwFodO9Fn9315/+3XAFi6ZAkTn32cfnsfWM7mleyJd2Zx5n1v8ssHJjH/myV8Mu9r5i5aTIc1glGbDmusxrxFi8vStkro4/MVOJHOgZnZaCCuUwdR2sEl55zGxr16c+KpZy1fv9eAgxg/5jkA3n9vCosXf0uHtTuVq5mR7Pk/Xfn5gVty1PXPle3ag8bEcauGlFVF5r+YXc/8L+cC8PXXi3hxzLNsuFEvPv4guJbUzHh+1KP02KhXOZsZu8NueIGdL3+KnS9/ijuencZNT0xh+OgPUm2D5z193yxayNcLvlr+89svPk+3jTYFYNJLY+jaYyM6du5aziaW7HttgpMs67Rtxc49O/LclNmM++AL9uod/L9qr96dGPv+F2VrX9b7+CZPUcV4XUNZTXxxLA/cdzebbr4lA/fqD8AvhlzOj448jot/cSoH7dGP1VZrxbU3Dq2I01N/OX1ndt68C2u3bc2bNx7Ktf96nV8ctCWtW7bg/gt+CMCEqbM5Z9iLALz2h0No12Y1VmvZgv23W5///e0oJn/6ZeLtFNmo4JujWjJfP/MzLjvvVJYtXcYyW8beBxzKLj/cl5/+eAALvpqPmbHp5ltx4VXZv4b0/07oy/c36USHtq0Yf+Xe/OGRycxd+C1XHvY/dGzbijtP7c/bn8zj2D+NK3dTKy7z1ZL3L+fU86cLgvnjli5dyo77HMJW398DgBef/A/bV+DpqQaX7NuLtVqvxpJly/jT8x/w1bdLGTlxBhftswn7btaZWV99w9VPTClL2yoh73nvRZWGcGbDwQDrdVs/9v1vt+NOvDNjQaPPXXfzHbEfL2k//dOqp6D+9lzT3/Lc5py4vkHdfJVQMKYtN+/rrhd/3gF6bb4V/3h4zCrr77jviUSOl6Qzh01sdP3jr3/W6PoG15ftQmPPfK7cvHdct1six1in2wZc9rfHGn3uJ5f+v0SOmZbz/z1plXXzv1nCkP+8U4bWrCrreS/mVg2JMrOh4bdk+lXqKSLXCAWTQOVbatGKeV+73M1xcSqQ+VqUm/fcOWpcFaiAPr7sIziuOokMVM/Opcgz72pJJeQ9sfZJuhsYC/SWND2clM3VkKxX93HzzDvPu6slWe/jExvBMbMjk9q3qwwZyHeqPPOuljLveXdZz7ufonKJaJgjwbla4Zl3taQS8u4FjkuIUObnuXQuTp55V0uyn3cvcFwiKqG6dy5OnnlXSyoh717guGRkZCZL51LjmXe1pALy7gWOS0wWrqJ3Lk2eeVdLsp73rH+N3VUoAS2Uf3GumhTKfNH7keokvSLpofBxT0njJU2RdI+kVgm9BeeKFlcfn2TevcBxicn6HAnOxS2mvP8cyJ2j/7fA9WbWC/gC8PlmXCbE1McnlncvcFxiVOC/ovbhn2ZdBYkh792BA4C/hI8F/BC4L9xkODAwgaY712xR+/ik8+4FjktEw51m8y1F8k+zriIUyjzQSdKEnGVwI7u5AfglsCx8vDYw18yWhI+nA8nctdK5Ziiyjy+U+UTz7hcZu2TEcIV9TnV/NXBOTnV/VLjJcOBy4JZoR3IuBoUzX29m/Zp8uXQgMNPMXpa0x3d7XYWV3Ebn4lJcH99k5tPIuxc4LhFFzpHQSdKEnMdDzWxozuOG6r5d+Ng/zbrMimFekJ2BgyXtD6wOrEXwO9BeUssw992BT6O21bmoKiHvforKJUYFFsLqPmdZXtzkVvcr7XJl/mnWZUaBvOdlZkPMrLuZ9QAGAU+b2dHAM8Bh4WbHAw/E3W7nSlFEH9+kNIIJnPQAAAkDSURBVPLuBY5LjKS8SwEN1f0HwAiCU1PLq/twG/806zIlQt7zuYDgFO1UglHM22NprHMRRezjmxJb3v0UlUtMlD7dzIYAQ4L9aA/gPDM7WtK9BNX9CPzTrMuYuGY/MLNngWfDn6cBO8SzZ+fik/W8+wiOS0yU4cs8/NOsy6wE8u5cZiXUx8fGR3BcIgRRh+WX80+zrhLEmXnnsq4S8u4FjktGBdyIzblYeeZdLamAvHuB4xKT9fA7FzfPvKslWc+7FzguIcVPT+9cdfDMu1qS/bx7geMS0XCnWedqhWfe1ZJKyLsXOC45GQ+/c7HzzLtakvG8e4HjEtMi6ydonYuZZ97VkqznPVMFzluvv1K/Wdc1P0zpcJ2A+pSOlaY039eG+Z7MdvTLb9Ibr9b36/k9z3t0nvkK8OE7b9Sf3L9HWnmH6s28571ImSpwzGydtI4laUK+O/tWqsy8L2V/joRy87zHIzPvzTOfV5p5hwzlImaZeV8VkPdMFTiuegSTQJW7Fc6lxzPvakkl5N0LHJeYrIffubh55l0tyXrea7nAGVruBiQkM+8r63Mk1JjM5CIBmXlvnvlMyUwuYpaZ95X1vNdsgWNmmQlJnLL0vrI+R0ItyVIu4pal9+aZz44s5SJOWXpfWc+7303cJSfrt5p1Lm4R8i5pfUnPSJok6S1JPw/Xd5T0pKQp4Z8dknsDzjVDhD4+jbx7geMSIQVzJORbnKsmhTJfhCXAuWa2OdAfOEPSFsCFwCgz6wWMCh87V1Yx9PGJ573mChxJAyRNljRVUtV0FJLukDRT0pvlbksDH8DJBs98eqLk3cxmmNnE8Of5wCSgG3AIMDzcbDgwMOZmVxXPe3qi9PFp5L2mChxJdcDNwH7AFsCRYcVYDYYBA8rdiO8IKf9ScA8+ZB+ZZz5NBfPeSdKEnGVwk3uSegB9gPFAFzObAcH/FIDOyb+XyuR5T1NRfXxRmU8q77V2kfEOwFQzmwYgaQRBtfh2WVsVAzMbHYYkM2I4C9UwhDlRUjvgZUlPAicQDGFeG35CuxC4IPLRqpNnPkUFMl9fzARtktoC/wTONrMvsz6ZWsZ43lNURDQLZj7JvNfUCA7B8NfHOY+nh+tczBomgcq3FOJD9rHwzKekUOaL2oe0GkFn/3cz+1e4+nNJXcPnuwIzE2h+tfC8pySOPj7pvNdagdPYX7ml3ooaoQL/4UP2afDMp6hA3vO/Nvjoejswycz+kPPUg8Dx4c/HAw/E3vDq4XlPURF9fNOvTSHvtXaKajqwfs7j7sCnZWpL1StijgQfsk+eZz5FEecF2Rk4FnhD0qvhuouAa4GRkk4CPgIOj3SU6uZ5T1HW815rBc5LQC9JPYFPgEHAUeVtUpVqxrB83t3kGcI0sxk+ZF+QZz4tETNvZmNo+ssne5a+55rieU9LBeS9pk5RmdkS4GfA4wTXc4w0s7fK26p4SLobGAv0ljQ9rH7L156gTVG/ReVD9hF55lNsD/kz75LneU+xPUTv45NWayM4mNkjwCPlbkfczOzIcrdhZTHE24fsY+CZT0/5u3TneU9P1vNecwWOS0/U2Yp9yN5VGp+h29WSrOfdCxyXnGxn37n4eeZdLcl43r3AcYkI7lNS7lY4lx7PvKsllZB3L3BcYoqZ+8O5auKZd7Uk63n3AsclJ9vZdy5+nnlXSzKe96r8mrikpZJelfSmpHslrRFhX3tIeij8+WDluTutpPaSTi/hGJdLOq/Y9SttM0zSYc04Vg+ldDfaFsq/uHh43vNun1rewfOeBs973u0zk/csZL4qCxxgkZlta2ZbAd8Cp+Y+qUCz37uZPWhm1+bZpD3Q7F+A6lRoEu8MpL96eN4zwfOeEs97JmS/j6/WAifX88AmYWU7SdKfgInA+pL2kTRW0sTwk0BbAEkDJL0jaQzwo4YdSTpB0k3hz10k3S/ptXDZiWB+lo3DTxfXhdudL+klSa9LuiJnXxdLmizpKaB3oTch6eRwP69J+udKn1r2kvS8pHclHRhuXyfpupxjnxL1L7I54rgRmyuJ570MeYd4brbpms3zntG8ZyHzVV3gSGoJ7Ae8Ea7qDdxlZn2ABcAlwF5m1heYAJwjaXXgNuAgYFdg3SZ2/0fgOTPbBugLvAVcCLwXfro4X9I+QC9gB2BbYDtJu0najmAK8T4Ev2DbF/F2/mVm24fHmwTkzmLZA9gdOAC4NXwPJwHzzGz7cP8nK5i+PDVZD3+18byXN+/geU+T5z3bec9C5qv1IuM2+m7m2+cJpvtfD/jQzMaF6/sDWwAvKPiXaEUwDfZmwPtmNgVA0t+Axu5y/UPgOAAzWwrMk9RhpW32CZdXwsdtCX4h2gH3m9nC8BgPFvGetpL0a4Jh0rYEU5E3GGlmy4ApkqaF72EfYGt9d/72e+Gx3y3iWNEp+5NAVRHPe7nzDp759HjePe9FqdYCZ5GZbZu7Igz5gtxVwJMrT38taVvAYmqHgGvM7M8rHePsEo4xDBhoZq9JOgHYI+e5lfdl4bHPNLPcXxQk9WjmcUsiMn+BfTXxvJc57+CZT5Hn3fNelKo+RVXAOGBnSZsASFpD0qbAO0BPSRuH2zV1/49RwGnha+skrQXMJ6jeGzwO/CTn3G83SZ2B0cChktpIakcwXFpIO2CGgrtrH73Sc4dLahG2eSNgcnjs08LtkbSppDWLOE5slPEbsdUYz3sKPO+Z4XlPQdb7+GodwSnIzGaFlfLdklqHqy8xs3clDQYellQPjAG2amQXPweGKrjh41LgNDMbK+kFBV/TezQ8T7s5MDb8x/4KOMbMJkq6B3gV+JBgmLWQXwHjw+3fYMVftMnAc0AX4FQz+1rSXwjO3U5UcPBZwMDi/nbikYF8u5DnPR2e+WzwvKcj63mXWVyjdc59p+92/WzMuJfybrNmqxYvm1m/lJrkXKIKZd7z7qpJJfTxNTuC45KXhXkQnEuTZ97Vkqzn3UdwXCIkPQZ0KrBZvZkNSKM9ziWtiMx73l3VqIQ+3gsc55xzzlWdWv4WlXPOOeeqlBc4zjnnnKs6XuA455xzrup4geOcc865quMFjnPOOeeqzv8HIyPZJRablQgAAAAASUVORK5CYII=\n", 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\n", 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" ] @@ -1088,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -1098,7 +1098,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -1112,7 +1112,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1130,7 +1130,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -1138,17 +1138,12 @@ "oversampler=SMOTE(random_state=0)\n", "\n", "#使用SMOTE模型,创造新的数据集\n", - "os_features,os_labels=oversampler.fit_sample(features_train,labels_train)\n", - "\n", - "#切分新生成的数据集\n", - "os_features_train, os_features_test, os_labels_train, os_labels_test = train_test_split(os_features,os_labels,\n", - " test_size=0.2,\n", - " random_state=0)" + "os_features,os_labels=oversampler.fit_sample(features_train,labels_train)" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1167,7 +1162,7 @@ "Text(0, 0.5, 'Frequency')" ] }, - "execution_count": 25, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, @@ -1205,7 +1200,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1281,7 +1276,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1289,12 +1284,12 @@ "output_type": "stream", "text": [ "召回率: 1.0\n", - "精确率: 0.9932432432432432\n" + "精确率: 0.9735099337748344\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1307,7 +1302,7 @@ ], "source": [ "lr = LogisticRegression(C = best_c, penalty = 'l1')\n", - "lr.fit(os_features,os_labels)\n", + "lr.fit(os_features,os_labels.values.ravel())\n", "# 代码和上面大致相同,唯一不同的,是这里我们使用的是真实比例\n", "y_pred = lr.predict(features_test.values)\n", " \n", @@ -1325,12 +1320,97 @@ "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "结果可以说是非常好,我们再试下不同阈值的结果" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "指定的阈值为: 0.1 时,测试集的召回率: 1.00 精确率: 0.936\n", + "指定的阈值为: 0.2 时,测试集的召回率: 1.00 精确率: 0.955\n", + "指定的阈值为: 0.3 时,测试集的召回率: 1.00 精确率: 0.961\n", + "指定的阈值为: 0.4 时,测试集的召回率: 1.00 精确率: 0.967\n", + "指定的阈值为: 0.5 时,测试集的召回率: 1.00 精确率: 0.987\n", + "指定的阈值为: 0.6 时,测试集的召回率: 1.00 精确率: 0.993\n", + "指定的阈值为: 0.7 时,测试集的召回率: 1.00 精确率: 1.000\n", + "指定的阈值为: 0.8 时,测试集的召回率: 1.00 精确率: 1.000\n", + "指定的阈值为: 0.9 时,测试集的召回率: 1.00 精确率: 1.000\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# 试下不同阈值的结果\n", + "lr = LogisticRegression(C = best_c, penalty='l1')\n", + "\n", + "lr.fit(os_features, os_labels.values.ravel())\n", + "y_pred_over_proba = np.array(lr.predict_proba(features_test.values))\n", + "\n", + "\n", + "thresholds = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n", + "plt.figure(figsize=(8,8))\n", + "j = 1\n", + "\n", + "# 用混淆矩阵来展示图形化结果\n", + "for i in thresholds:\n", + " y_test_predictions_high_recall = y_pred_over_proba[:, 1] > i\n", + " \n", + " plt.subplot(3, 3, j)\n", + " j += 1\n", + " \n", + " cnf_matrix = confusion_matrix(labels_test,y_test_predictions_high_recall)\n", + " np.set_printoptions(precision=2)\n", + "\n", + " print(\"指定的阈值为: \",i,\"时,测试集的召回率:\", '{0:.2f}'.format(cnf_matrix[1,1]/(cnf_matrix[1,0]+cnf_matrix[1,1]))\n", + " ,\"精确率:\", '{0:.3f}'.format(cnf_matrix[1,1]/(cnf_matrix[0,1]+cnf_matrix[1,1])))\n", + " \n", + " class_names = [0,1]\n", + " plot_confusion_matrix(cnf_matrix\n", + " , classes=class_names\n", + " , title='Confusion matrix')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "此时当阈值越高,召回率没影响而精确率提升,我们可以选择更高的阈值。" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 项目总结\n", + " (1) 在项目中,我们发现了样本不均衡问题,并指定了相应的解决方案。\n", + " (2) 这里提出的两种方法,下采样和过采样,通过实验比对,找到合适的那个。\n", + " (3) 在建模时,我们使用各种预处理方法,如这里的数据标准化,甚至还有缺失值填充等。\n", + " (4) 选择合适的评估方法,再进行建模。建模得到我们预期的结果,并根据评估方法来评价模型。\n", + " (5) 这里选择的算法是逻辑回归,逻辑回归也是简单模型的代表,在工业界也常被使用。\n", + " (6) 模型训练后进行适当的调优也是非常必要的,如前面的下采样时。最终选择最优的参数。\n", + " (7) 得到的结果和实际任务结合,并确保效果偏差小。" + ] } ], "metadata": {