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 969498f..69cf42c 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 @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -263,7 +263,7 @@ "[5 rows x 31 columns]" ] }, - "execution_count": 4, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -284,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -349,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -547,7 +547,7 @@ "[5 rows x 30 columns]" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -571,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -622,7 +622,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -679,7 +679,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -708,7 +708,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -778,7 +778,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 9, "metadata": { "scrolled": false }, @@ -803,44 +803,44 @@ "-------------------------------------------\n", "Iteration 0 : 召回率 = 0.8493150684931506\n", "Iteration 1 : 召回率 = 0.863013698630137\n", - "Iteration 2 : 召回率 = 0.9491525423728814\n", + "Iteration 2 : 召回率 = 0.9152542372881356\n", "Iteration 3 : 召回率 = 0.9324324324324325\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 4 : 召回率 = 0.8939393939393939\n", "\n", - "平均召回率 0.900600930203902\n", + "平均召回率 0.89079096615665\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 1\n", "-------------------------------------------\n", - "Iteration 0 : 召回率 = 0.8493150684931506\n", + "Iteration 0 : 召回率 = 0.863013698630137\n", "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9830508474576272\n", + "Iteration 2 : 召回率 = 0.9661016949152542\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 4 : 召回率 = 0.8939393939393939\n", "\n", - "平均召回率 0.9155627459783485\n", + "平均召回率 0.9118823384669682\n", "\n", "-------------------------------------------\n", "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 = 0.9830508474576272\n", - "Iteration 3 : 召回率 = 0.9324324324324325\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 2 : 召回率 = 0.9661016949152542\n", + "Iteration 3 : 召回率 = 0.9459459459459459\n", + "Iteration 4 : 召回率 = 0.8939393939393939\n", "\n", - "平均召回率 0.9155997693030431\n", + "平均召回率 0.9118823384669682\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 100\n", "-------------------------------------------\n", - "Iteration 0 : 召回率 = 0.8767123287671232\n", + "Iteration 0 : 召回率 = 0.863013698630137\n", "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9830508474576272\n", + "Iteration 2 : 召回率 = 0.9661016949152542\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", "Iteration 4 : 召回率 = 0.9090909090909091\n", "\n", - "平均召回率 0.921042198033143\n", + "平均召回率 0.9149126414972711\n", "\n", "***********************************\n", "效果最好的模型所选参数 = 0.01\n", @@ -854,7 +854,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -885,19 +885,19 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "召回率: 0.9319727891156463\n" + "召回率: 0.9387755102040817\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -941,20 +941,20 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "召回率: 0.9183673469387755\n", - "精确率: 0.014091858037578288\n" + "召回率: 0.9251700680272109\n", + "精确率: 0.010045797015807358\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1004,7 +1004,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1012,19 +1012,19 @@ "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: 0.497\n", - "指定的阈值为: 0.2 时,测试集的召回率: 1.00 精确率: 0.498\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: 0.98 精确率: 0.634\n", - "指定的阈值为: 0.5 时,测试集的召回率: 0.93 精确率: 0.878\n", - "指定的阈值为: 0.6 时,测试集的召回率: 0.88 精确率: 0.963\n", - "指定的阈值为: 0.7 时,测试集的召回率: 0.84 精确率: 0.992\n", - "指定的阈值为: 0.8 时,测试集的召回率: 0.77 精确率: 1.000\n", - "指定的阈值为: 0.9 时,测试集的召回率: 0.58 精确率: 1.000\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" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1078,12 +1078,64 @@ "随着阈值的上升,召回率越来越低,但精确率越来越高,在不可改变的情况下,我们会选择合适的阈值进行业务使用。" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### SMOTE过采样方案\n", + "SMOTE方法是通过近邻构造数据,其中距离公式是欧式距离计算,在位置相近的点构造新数据。" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from imblearn.over_sampling import SMOTE\n", + "from sklearn.metrics import confusion_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "credit_cards = data.copy()\n", + "columns = credit_cards.columns\n", + "features_columns = columns.delete(len(columns)-1)\n", + "\n", + "features = credit_cards[features_columns]\n", + "labels = credit_cards['Class']" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "features_train, features_test, labels_train, labels_test = train_test_split(features, labels, \n", + " test_size = 0.3, \n", + " random_state = 0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "基于SMOTE算法来进行样本生成,这样正负样本比例就是一致了" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "SMOTE" + ] } ], "metadata": { 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 969498f..fc128bb 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 @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -263,7 +263,7 @@ "[5 rows x 31 columns]" ] }, - "execution_count": 4, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -284,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -349,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -547,7 +547,7 @@ "[5 rows x 30 columns]" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -571,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -622,7 +622,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -679,7 +679,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -708,7 +708,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -778,7 +778,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 9, "metadata": { "scrolled": false }, @@ -803,44 +803,44 @@ "-------------------------------------------\n", "Iteration 0 : 召回率 = 0.8493150684931506\n", "Iteration 1 : 召回率 = 0.863013698630137\n", - "Iteration 2 : 召回率 = 0.9491525423728814\n", + "Iteration 2 : 召回率 = 0.9152542372881356\n", "Iteration 3 : 召回率 = 0.9324324324324325\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 4 : 召回率 = 0.8939393939393939\n", "\n", - "平均召回率 0.900600930203902\n", + "平均召回率 0.89079096615665\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 1\n", "-------------------------------------------\n", - "Iteration 0 : 召回率 = 0.8493150684931506\n", + "Iteration 0 : 召回率 = 0.863013698630137\n", "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9830508474576272\n", + "Iteration 2 : 召回率 = 0.9661016949152542\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 4 : 召回率 = 0.8939393939393939\n", "\n", - "平均召回率 0.9155627459783485\n", + "平均召回率 0.9118823384669682\n", "\n", "-------------------------------------------\n", "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 = 0.9830508474576272\n", - "Iteration 3 : 召回率 = 0.9324324324324325\n", - "Iteration 4 : 召回率 = 0.9090909090909091\n", + "Iteration 2 : 召回率 = 0.9661016949152542\n", + "Iteration 3 : 召回率 = 0.9459459459459459\n", + "Iteration 4 : 召回率 = 0.8939393939393939\n", "\n", - "平均召回率 0.9155997693030431\n", + "平均召回率 0.9118823384669682\n", "\n", "-------------------------------------------\n", "正则化惩罚力度: 100\n", "-------------------------------------------\n", - "Iteration 0 : 召回率 = 0.8767123287671232\n", + "Iteration 0 : 召回率 = 0.863013698630137\n", "Iteration 1 : 召回率 = 0.8904109589041096\n", - "Iteration 2 : 召回率 = 0.9830508474576272\n", + "Iteration 2 : 召回率 = 0.9661016949152542\n", "Iteration 3 : 召回率 = 0.9459459459459459\n", "Iteration 4 : 召回率 = 0.9090909090909091\n", "\n", - "平均召回率 0.921042198033143\n", + "平均召回率 0.9149126414972711\n", "\n", "***********************************\n", "效果最好的模型所选参数 = 0.01\n", @@ -854,7 +854,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -885,19 +885,19 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "召回率: 0.9319727891156463\n" + "召回率: 0.9387755102040817\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -941,20 +941,20 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "召回率: 0.9183673469387755\n", - "精确率: 0.014091858037578288\n" + "召回率: 0.9251700680272109\n", + "精确率: 0.010045797015807358\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1004,7 +1004,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1012,19 +1012,19 @@ "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: 0.497\n", - "指定的阈值为: 0.2 时,测试集的召回率: 1.00 精确率: 0.498\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: 0.98 精确率: 0.634\n", - "指定的阈值为: 0.5 时,测试集的召回率: 0.93 精确率: 0.878\n", - "指定的阈值为: 0.6 时,测试集的召回率: 0.88 精确率: 0.963\n", - "指定的阈值为: 0.7 时,测试集的召回率: 0.84 精确率: 0.992\n", - "指定的阈值为: 0.8 时,测试集的召回率: 0.77 精确率: 1.000\n", - "指定的阈值为: 0.9 时,测试集的召回率: 0.58 精确率: 1.000\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" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1078,6 +1078,253 @@ "随着阈值的上升,召回率越来越低,但精确率越来越高,在不可改变的情况下,我们会选择合适的阈值进行业务使用。" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### SMOTE过采样方案\n", + "SMOTE方法是通过近邻构造数据,其中距离公式是欧式距离计算,在位置相近的点构造新数据。" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from imblearn.over_sampling import SMOTE\n", + "from sklearn.metrics import confusion_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "credit_cards = data.copy()\n", + "columns = credit_cards.columns\n", + "features_columns = columns.delete(len(columns)-1)\n", + "\n", + "features = credit_cards[features_columns]\n", + "labels = credit_cards['Class']" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "features_train, features_test, labels_train, labels_test = train_test_split(features, labels, \n", + " test_size = 0.3, \n", + " random_state = 0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "基于SMOTE算法来进行样本生成,这样正负样本比例就是一致了" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "#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)\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)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "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": 25, + "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": 26, + "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": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "召回率: 1.0\n", + "精确率: 0.9932432432432432\n" + ] + }, + { + "data": { + "image/png": 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sgVwzs6TxRxfk1pKNiHWSTiVbYbwnMC0iFuf1PDPrmrpo7KxZrtNqI+JaspXHzczK6qot1Fp57QIzK44avyXbNUf3mllDENCjh2o+aipT6ivpN5Lul3SfpPdK6i9pnqQl6We/lFeSLkyzUu+StF9JOZNS/iWSJpWkj5B0d7rnQrXRFHeQNbNC1TvIAj8G/hQR7wSGA/cBpwPXR8RQ4Pp0DtmM1KHpmAJcAiCpPzCVbGz/KGBqS2BOeaaU3De26vertdZmZnWXugtqPdosTtoaOBi4DCAiXomIZ8lmm05P2aYDR6fP44AZkbkF6CtpJ+BwYF5ErIqI1cA8YGy6tnVE3Jw2YZxRUlZZDrJmVphsnGxdh3C9HXga+IWkOyT9r6QtgB0iYjlA+rl9yl9uZurANtKby6RX5CBrZgVq9zjZAZIWlBxTWhXYC9gPuCQi9gVe4I2ugfIVeKvYgPSKPLrAzArVztEFK9uYVtsMNEfEren8N2RB9ilJO0XE8vQr/4qS/OVmpjYDh7RKvyGlDyqTvyK3ZM2sUPXsLoiIJ4HHJe2Rkg4D7iWbbdoyQmAScHX6PAc4Po0yGA2sSd0Jc4ExkvqlF15jgLnp2nOSRqdRBceXlFWWW7JmVpx8xsmeBvxfms6/FDiRrEE5W9Jk4DFgfMp7LXAk0ASsTXmJiFWSziZbHgDgrIhYlT6fDFwO9AGuS0dFDrJmVpiWF1/1FBGLgHJdCoeVyRvAKRXKmQZMK5O+ANi71vo4yJpZoRp9xpeDrJkVymsXmJnlRbRnJleX5CBrZoXpDot2O8iaWYG67mLctXKQNbNCNXiMdZA1s2K5JWtmlpdusGi3g6yZFSaPyQidjYOsmRXKQdbMLEcNHmMdZM2sWG7JmpnlxS++zMzyI9q1QWKX5CBrZoXq0eBNWQdZMytUg8dYB1kzK0621XdjR1kHWTMrVIN3yTrImlmxGr0lW3G3WklbVzs6spJm1rik2o/aytMjku6WtEjSgpTWX9I8SUvSz34pXZIulNQk6S5J+5WUMynlXyJpUkn6iFR+U7q3as2qtWQXA0E2vbhFy3kAu9b2lc3MyhPZMK4cfCAiVpacnw5cHxHnSTo9nf8ncAQwNB37A5cA+0vqD0wl25AxgIWS5kTE6pRnCnAL2W63Y6myY23FIBsRu2z49zMzq00H9cmOAw5Jn6cDN5AF2XHAjLRr7S2S+kraKeWd17INuKR5wFhJNwBbR8TNKX0GcDRVgmzF7oJSkiZI+kb6PEjSiHZ+QTOzt1K2M0KtBzBA0oKSY0qZUgP4s6SFJdd3iIjlAOnn9il9IPB4yb3NKa1aenOZ9IrafPEl6SJgE+Bg4L+BtcDPgPe0da+ZWTUCeravKbsyIka2kefAiFgmaXtgnqT726hCa627SWtJr6iWluwBEfE54CWA1HzuXcN9ZmZtqveLr4hYln6uAK4CRgFPpW4A0s8VKXszUNo1OghY1kb6oDLpFdUSZF+V1IMUrSVtC7xWw31mZm1qZ3dBW2VtIWmrls/AGOAeYA7QMkJgEnB1+jwHOD6NMhgNrEndCXOBMZL6pZEIY4C56dpzkkanUQXHl5RVVi3jZC8GfgtsJ+k7wCeA79Rwn5lZVe1podZoB+CqFJB7Ab+KiD9Jmg/MljQZeAwYn/JfCxwJNJF1hZ4I2W/sks4G5qd8Z7W8BANOBi4H+pC98Kr40qulElVFxAxJC4EPpqTxEXFP29/VzKxt9VwgJiKWAsPLpD8DHFYmPYBTKpQ1DZhWJn0BsHetdap1xldP4FWyLoOaRiSYmdWised71RAwJX0TuBLYmayT91eSzsi7YmbWPdSzT7YzqqUl+2lgRESsBZB0LrAQ+G6eFTOzxie8QAzAo63y9QKW5lMdM+tWunALtVYVg6yk88n6YNcCiyXNTedjgBs7pnpm1ugaPMZWbcm2jCBYDPyxJP2W/KpjZt3JBsz46nKqLRBzWUdWxMy6p27bXdBC0m7AucAwYLOW9Ih4R471MrNuorFDbG1jXi8HfkH2Z3EEMBuYmWOdzKybkLLJCLUeXVEtQXbziJgLEBEPRcSZwAfyrZaZdRf1XiCms6llCNfLaSGEhyR9HniCN9ZiNDPbKN2+Txb4CrAl8EWyvtltgJPyrJSZdR8NHmNrWiDm1vTxOeC4fKtjZt2J6Lp9rbWqNhnhKqqs+B0Rx+RSIzPrPrpwX2utqrVkL+qwWiT77rkrN93a4Y81swJ12z7ZiLi+IytiZt1To6+dWut6smZmddetp9WamXWEBo+xtbfUJW2aZ0XMrPvJJhnUf9FuST0l3SHpmnQ+RNKtkpZImiWpd0rfNJ03peuDS8o4I6U/IOnwkvSxKa1J0ult1aWWnRFGSbobWJLOh0v6Sc3f1sysih6q/WiHLwH3lZx/Dzg/IoYCq4HJKX0ysDoidgfOT/mQNAyYAOwFjAV+mgJ3T7LNZY8gW89lYspb+fvVUNkLgaOAZwAi4k48rdbM6qTe02olDQI+DPxvOhdwKPCblGU6cHT6PC6dk64flvKPA2ZGxMsR8TDZbraj0tEUEUsj4hWydVzGVatPLX2yPSLi0VZN9fU13GdmVlW2/Uy7mqgDJC0oOb80Ii5tlecC4D+ArdL5tsCzEbEunTcDA9PngcDjABGxTtKalH8gb147u/Sex1ul71+twrUE2ccljQIiNZVPAx6s4T4zsza1cwjXyogYWemipKOAFRGxUNIhLcllskYb1yqll6tuxUlbUFuQPZmsy2BX4CngLynNzGyj1XkuwoHARyUdSbb+9dZkLdu+knql1uwgYFnK3wzsAjRL6kW2NsuqkvQWpfdUSi+rzX9EImJFREyIiAHpmBARK9u6z8ysLWrHWrK1dCtExBkRMSgiBpO9uPprRBwL/A34eMo2Cbg6fZ6TzknX/xoRkdInpNEHQ4ChwG3AfGBoGq3QOz1jTrU61bIzws8p0xyOiClt3Wtm1pYOmlX7n8BMSecAdwAt22tdBlwhqYmsBTsBICIWS5oN3AusA06JiPVZfXUqMBfoCUyLiMXVHlxLd8FfSj5vBnyMN3f8mpltEAG9cpqNEBE3ADekz0vJRga0zvMSML7C/eeSLe/aOv1a4Npa61HLUoezSs8lXQHMq/UBZmbVNPj6MBs0rXYI8LZ6V8TMuqH2TzLocmrpk13NG32yPcj6LdqcSmZmVgs1+H61VYNsmvkwnGxfL4DX0ps3M7ONlk1GKLoW+ao6hCsF1KsiYn06HGDNrK5yWrug06hlssVtkvbLvSZm1i3lsQpXZ1Jtj6+W2RHvAz4r6SHgBbIWfkSEA6+ZbZTu0F1QrU/2NmA/3litxsysvrr5RooCiIiHOqguZtYNddstwYHtJH210sWI+FEO9TGzbiTb46voWuSrWpDtCWxJ+SW/zMzqQPRo8BBTLcguj4izOqwmZtbtCPfJmpnlpwuPf61VtSB7WIfVwsy6rW774isiVnVkRcys++nu3QVmZrnrti1ZM7OO0OAx1kHWzIoj2r1bbZfjIGtmxRFdduGXWjX6PyJm1smpHUebZUmbSbpN0p2SFkv6TkofIulWSUskzUo7zZJ2o50lqSldH1xS1hkp/QFJh5ekj01pTZLa3MDAQdbMCiOgp1TzUYOXgUMjYjiwDzBW0mjge8D5ETEUWA1MTvknA6sjYnfg/JQPScPIdq7dCxgL/FRST0k9gYuBI4BhwMSUtyIHWTMrlFT70ZbIPJ9ON0lHAIcCv0np03ljdcFx6Zx0/bC0I8w4YGZEvBwRDwNNZLvdjgKaImJpRLwCzEx5K3KQNbMC1b5gd+q7HSBpQckx5S0lZi3ORcAKsp21HwKeTetjAzQDA9PngcDjAOn6GmDb0vRW91RKr8gvvsysMBswumBlRIysliEi1gP7SOoLXAXsWS5bSRXKXauUXq66VbflcpA1s0LlNbogIp6VdAMwGuhbstvLIGBZytYM7AI0S+oFbEO2I3dLeovSeyqll+XuAjMrVJ1HF2yXWrBI6gN8ELgP+Bvw8ZRtEnB1+jwnnZOu/zVtGDsHmJBGHwwBhpLtFjMfGJpGK/Qmezk2p1qd3JI1s+LUf5zsTsD0NAqgBzA7Iq6RdC8wU9I5wB3AZSn/ZcAVkprIWrATACJisaTZwL3AOuCU1A2BpFOBuWRrbk+LiMXVKuQga2aFqfeMr4i4C9i3TPpSspEBrdNfAsZXKOtc4Nwy6dcC19ZaJwdZMytUo8/4cpA1s0I1doh1kDWzArXM+GpkDrJmVqgGj7EOsmZWJKEG7zBwkDWzQrkla2aWk2wIV2NHWQdZMytOjatrdWUOsmZWKAdZM7McNfqLLy8Q04H+PPdPvHuvPdjrnbvzg++fV3R1rEaf+8xJ7Lrz9ozYZ++3XDv/Rz+kzyZi5cqVAPzof37A/iP2Yf8R+zBin73ZYtOerFq1qqOr3GUI6KHaj67IQbaDrF+/ni9/8RSu/sN13HHXvfx65pXcd++9RVfLanDcpBO4+po/vSX98ccf569/mccuu+76etpXv/bv3LpwEbcuXMRZ53yXgw5+P/379+/I6nY5asd/XZGDbAeZf9tt7Lbb7gx5+9vp3bs34z85gWv+cHXbN1rh3nfQwWUD5X98/Suc+93vV5x7P3vWlXzikxPzrl6X10Oq+eiKHGQ7yLJlTzBo0Btr/Q4cOIgnnniiwBrZxrjmD3PYeeeBvHv48LLX165dy7y5f+LoY/6tg2vWtXSH7oLcXnxJmgYcBayIiLd2ZnUz2TrAb9boqw81qrVr1/K9757LNdf9uWKeP17zB957wIHuKmhT1+0GqFWeLdnLybbSNbKWa3PzG/uvPfFEMzvvvHOBNbINtfShh3j0kYcZNWI4e+w+mCeam3nvqP148sknX8/z69kzGe+ugra1Y6fartomya0lGxH/kDQ4r/K7mpHveQ9NTUt45OGH2XngQH49ayaXX/GroqtlG2Dvd72Lx5ateP18j90Hc9MtCxgwYAAAa9as4cZ//J1fTP9lUVXsUrpo7KxZ4X2ykqa0bO/79Mqni65Obnr16sX5P76Ij3z4cPZ515782/hPMGyvvYqultXg+E9P5JCD3suDDzzAboMHcfm0y6rmn/P7qzjsQ2PYYostOqiGXVfWJ9vYL75Urq+wboVnLdlrau2THTFiZNx064Lc6mNmG+fA/UeycOGCukW7Pd+1b/ziqr/VnP+9Q/strLYluKRdgBnAjsBrwKUR8WNJ/YFZwGDgEeATEbFa2YuRHwNHAmuBEyLi9lTWJODMVPQ5ETE9pY8g6w7tQ7YNzZeiSiAtvCVrZt1cPberzTY9/FpE7Em2FfgpkoYBpwPXR8RQ4Pp0DnAE2U60Q4EpwCUAKShPBfYn2xtsqqR+6Z5LUt6W+6q+e3KQNbNC1XMyQkQsb2mJRsRzZNuBDwTGAdNTtunA0enzOGBGZG4B+kraCTgcmBcRqyJiNTAPGJuubR0RN6fW64ySssrKLchKuhK4GdhDUrOkyXk9y8y6rnaOLhjQ8g4nHVMql6vBZDvX3grsEBHLIQvEwPYp20Dg8ZLbmlNatfTmMukV5Tm6wONXzKxN7ezgXVmtT/b1MqUtgd8CX46If1UZk17uQmxAekXuLjCzwohsUk6tR01lSpuQBdj/i4jfpeSn0q/6pJ8tY/CagV1Kbh8ELGsjfVCZ9IocZM2sOHWejJBGC1wG3BcRPyq5NAeYlD5PAq4uST9emdHAmtSdMBcYI6lfeuE1Bpibrj0naXR61vElZZXl9WTNrFB1Hv16IHAccLekRSntG8B5wOz0bugxYHy6di3Z8K0msiFcJwJExCpJZwPzU76zIqJlzcqTeWMI13XpqMhB1syKVccoGxE3VinxsDL5AzilQlnTgGll0hcANa/H4iBrZgVq/AViHGTNrFBddLZszRxkzawwtU/k6rocZM2sWA0eZR1kzaxQ7pM1M8uR+2TNzPLShXc8qJWDrJkVyt0FZmY5ydYuKLoW+XKQNbNCNXiMdZA1s4I1eJR1kDWzQrlP1swsR+6TNTPLUYPHWAdZMytYg0dZB1kzK0y2QExjR1kHWTMrjqBHY8dYB1kzK1iDB1lvpGhmBVK7/muzNGmapBWS7ilJ6y9pnnELlWUAAAb4SURBVKQl6We/lC5JF0pqknSXpP1K7pmU8i+RNKkkfYSku9M9F6qGLXQdZM2sUPXcrZZsg8OxrdJOB66PiKHA9ekc4AhgaDqmAJdk9VF/YCqwPzAKmNoSmFOeKSX3tX7WWzjImllh1M6jLRHxD2BVq+RxwPT0eTpwdEn6jMjcAvSVtBNwODAvIlZFxGpgHjA2Xds6Im5OGzDOKCmrIvfJmlmx2tcnO0DSgpLzSyPi0jbu2SEilgNExHJJ26f0gcDjJfmaU1q19OYy6VU5yJpZodo5hGtlRIys26PfKjYgvSp3F5hZoercJ1vOU+lXfdLPFSm9GdilJN8gYFkb6YPKpFflIGtmhapnn2wFc4CWEQKTgKtL0o9PowxGA2tSt8JcYIykfumF1xhgbrr2nKTRaVTB8SVlVeTuAjMrTp23n5F0JXAIWd9tM9kogfOA2ZImA48B41P2a4EjgSZgLXAiQESsknQ2MD/lOysiWl6mnUw2gqEPcF06qnKQNbOC1S/KRsTECpcOK5M3gFMqlDMNmFYmfQGwd3vq5CBrZoURnlZrZpYrrydrZpYjr8JlZpanxo6xDrJmVqwGj7EOsmZWnI2cZNAlOMiaWaHcJ2tmlqfGjrEOsmZWrAaPsQ6yZlYs98mameVEiB4NHmW9CpeZWY7ckjWzQjV4Q9ZB1syK5SFcZmZ58WQEM7P8bOSOB12Cg6yZFavBo6yDrJkVyn2yZmY5avQ+WY+TNbNC1Xu3WkljJT0gqUnS6TlUuV3ckjWzQqmOTVlJPYGLgQ8BzcB8SXMi4t66PaSd3JI1s8KIN9aUreWowSigKSKWRsQrwExgXI5foU2dqiV7++0LV/bZRI8WXY8OMABYWXQlrK66y9/p2+pZ2O23L5zbZxMNaMctm0laUHJ+aURcWnI+EHi85LwZ2H9j6rixOlWQjYjtiq5DR5C0ICJGFl0Pqx//nW6YiBhb5yLLtXejzs9oF3cXmFkjaQZ2KTkfBCwrqC6Ag6yZNZb5wFBJQyT1BiYAc4qsUKfqLuhGLm07i3Ux/jvtBCJinaRTgblAT2BaRCwusk6KKLS7wsysobm7wMwsRw6yZmY5cpDtQJ1tup9tPEnTJK2QdE/RdbHOyUG2g5RM9zsCGAZMlDSs2FpZHVwO1HuspzUQB9mO0+mm+9nGi4h/AKuKrod1Xg6yHafcdL+BBdXFzDqIg2zH6XTT/cwsfw6yHafTTfczs/w5yHacTjfdz8zy5yDbQSJiHdAy3e8+YHbR0/1s40m6ErgZ2ENSs6TJRdfJOhdPqzUzy5FbsmZmOXKQNTPLkYOsmVmOHGTNzHLkIGtmliMH2QYiab2kRZLukfRrSZtvRFmHSLomff5otVXDJPWV9IUNeMa3JX291vRWeS6X9PF2PGuwV8qyIjjINpYXI2KfiNgbeAX4fOlFZdr9dx4RcyLivCpZ+gLtDrJm3YGDbOP6J7B7asHdJ+mnwO3ALpLGSLpZ0u2pxbslvL7e7f2SbgSOaSlI0gmSLkqfd5B0laQ703EAcB6wW2pF/yDl+3dJ8yXdJek7JWV9M62p+xdgj7a+hKTPpnLulPTbVq3zD0r6p6QHJR2V8veU9IOSZ39uY/8gzTaGg2wDktSLbN3au1PSHsCMiNgXeAE4E/hgROwHLAC+Kmkz4OfAR4CDgB0rFH8h8PeIGA7sBywGTgceSq3of5c0BhhKtrzjPsAISQdLGkE2nXhfsiD+nhq+zu8i4j3pefcBpTOqBgPvBz4M/Cx9h8nAmoh4Tyr/s5KG1PAcs1x4t9rG0kfSovT5n8BlwM7AoxFxS0ofTbZo+E2SAHqTTQt9J/BwRCwBkPRLYEqZZxwKHA8QEeuBNZL6tcozJh13pPMtyYLuVsBVEbE2PaOWtRv2lnQOWZfElmTTklvMjojXgCWSlqbvMAZ4d0l/7Tbp2Q/W8CyzunOQbSwvRsQ+pQkpkL5QmgTMi4iJrfLtQ/2WXhTw3Yj4f62e8eUNeMblwNERcaekE4BDSq61LivSs0+LiNJgjKTB7XyuWV24u6D7uQU4UNLuAJI2l/QO4H5giKTdUr6JFe6/Hjg53dtT0tbAc2St1BZzgZNK+noHStoe+AfwMUl9JG1F1jXRlq2A5ZI2AY5tdW28pB6pzm8HHkjPPjnlR9I7JG1Rw3PMcuGWbDcTEU+nFuGVkjZNyWdGxIOSpgB/lLQSuBHYu0wRXwIuTatNrQdOjoibJd2Uhkhdl/pl9wRuTi3p54FPR8TtkmYBi4BHybo02vJfwK0p/928OZg/APwd2AH4fES8JOl/yfpqb1f28KeBo2v70zGrP6/CZWaWI3cXmJnlyEHWzCxHDrJmZjlykDUzy5GDrJlZjhxkzcxy5CBrZpaj/w/Tyl/fp4bCTwAAAABJRU5ErkJggg==\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)\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": "code", "execution_count": null,