msb-public-java
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AiLearning-Theory-Applying
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Add. LinearRegression initialization

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pull/2/head
benjas 4 years ago
parent cc5b0cd8c7
commit 73b86afa29
22 changed files with 599 additions and 0 deletions
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机器学习算法理论及应用/第二章——手写线性回归算法/.idea/.gitignore vendored
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# Default ignored files
/workspace.xml

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机器学习算法理论及应用/第二章——手写线性回归算法/.idea/inspectionProfiles/profiles_settings.xml
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机器学习算法理论及应用/第二章——手写线性回归算法/.idea/misc.xml
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机器学习算法理论及应用/第二章——手写线性回归算法/.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
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机器学习算法理论及应用/第二章——手写线性回归算法/.idea/vcs.xml
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机器学习算法理论及应用/第二章——手写线性回归算法/.idea/第二章——手写线性回归算法.iml
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
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机器学习算法理论及应用/第二章——手写线性回归算法/LinearRegression/linear_regression.py
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import numpy as np
from util.features import prepare_for_training
class LinearRegression:
def __init__(self, data, labels, polynomial_degree=0, sinusoid_degree=0, normalize_data=True):
"""：
1.对数据进行预处理操作
2.先得到所有的特征个数
3.初始化参数矩阵
data:数据
polynomial_degree: 是否做额外变换
sinusoid_degree: 是否做额外变换
normalize_data: 是否标准化数据
:return
"""
(data_processed,
features_mean,
features_deviation) = prepare_for_training.prepare_for_training(data, polynomial_degree, sinusoid_degree,
normalize_data)
self.data = data_processed
self.labels = labels
self.features_mean = features_mean
self.features_deviation = features_deviation
self.polynomial_degree = polynomial_degree
self.sinusoid_degree = sinusoid_degree
self.normalize_data = normalize_data

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156
机器学习算法理论及应用/第二章——手写线性回归算法/data/world-happiness-report-2017.csv
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"Country","Happiness.Rank","Happiness.Score","Whisker.high","Whisker.low","Economy..GDP.per.Capita.","Family","Health..Life.Expectancy.","Freedom","Generosity","Trust..Government.Corruption.","Dystopia.Residual"
"Norway",1,7.53700017929077,7.59444482058287,7.47955553799868,1.61646318435669,1.53352355957031,0.796666502952576,0.635422587394714,0.36201223731041,0.315963834524155,2.27702665328979
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"Iceland",3,7.50400018692017,7.62203047305346,7.38596990078688,1.480633020401,1.6105740070343,0.833552122116089,0.627162635326385,0.475540220737457,0.153526559472084,2.32271528244019
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"Finland",5,7.4689998626709,7.52754207581282,7.41045764952898,1.44357192516327,1.5402467250824,0.80915766954422,0.617950856685638,0.24548277258873,0.38261154294014,2.4301815032959
"Netherlands",6,7.3769998550415,7.42742584124207,7.32657386884093,1.50394463539124,1.42893922328949,0.810696125030518,0.585384488105774,0.470489829778671,0.282661825418472,2.29480409622192
"Canada",7,7.31599998474121,7.38440283536911,7.24759713411331,1.47920441627502,1.48134899139404,0.83455765247345,0.611100912094116,0.435539722442627,0.287371516227722,2.18726444244385
"New Zealand",8,7.31400012969971,7.3795104418695,7.24848981752992,1.40570604801178,1.54819512367249,0.816759705543518,0.614062130451202,0.500005125999451,0.382816702127457,2.0464563369751
"Sweden",9,7.28399991989136,7.34409487739205,7.22390496239066,1.49438726902008,1.47816216945648,0.830875158309937,0.612924098968506,0.385399252176285,0.384398728609085,2.09753799438477
"Australia",10,7.28399991989136,7.35665122494102,7.2113486148417,1.484414935112,1.51004195213318,0.84388679265976,0.601607382297516,0.477699249982834,0.301183730363846,2.06521081924438
"Israel",11,7.21299982070923,7.27985325649381,7.14614638492465,1.37538242340088,1.37628996372223,0.83840399980545,0.405988603830338,0.330082654953003,0.0852421000599861,2.80175733566284
"Costa Rica",12,7.0789999961853,7.16811166629195,6.98988832607865,1.10970628261566,1.41640365123749,0.759509265422821,0.580131649971008,0.214613229036331,0.100106589496136,2.89863920211792
"Austria",13,7.00600004196167,7.07066981211305,6.94133027181029,1.48709726333618,1.4599449634552,0.815328419208527,0.567766189575195,0.316472321748734,0.221060365438461,2.1385064125061
"United States",14,6.99300003051758,7.07465674757957,6.91134331345558,1.54625928401947,1.41992056369781,0.77428662776947,0.505740523338318,0.392578780651093,0.135638788342476,2.2181134223938
"Ireland",15,6.97700023651123,7.04335166752338,6.91064880549908,1.53570663928986,1.55823111534119,0.80978262424469,0.573110342025757,0.42785832285881,0.29838815331459,1.77386903762817
"Germany",16,6.95100021362305,7.00538156926632,6.89661885797977,1.48792338371277,1.47252035140991,0.798950731754303,0.562511384487152,0.336269170045853,0.276731938123703,2.01576995849609
"Belgium",17,6.89099979400635,6.95582075044513,6.82617883756757,1.46378076076508,1.46231269836426,0.818091869354248,0.539770722389221,0.231503337621689,0.251343131065369,2.12421035766602
"Luxembourg",18,6.86299991607666,6.92368609987199,6.80231373228133,1.74194359779358,1.45758366584778,0.845089495182037,0.59662789106369,0.283180981874466,0.31883442401886,1.61951208114624
"United Kingdom",19,6.71400022506714,6.78379176110029,6.64420868903399,1.44163393974304,1.49646008014679,0.805335938930511,0.508190035820007,0.492774158716202,0.265428066253662,1.70414352416992
"Chile",20,6.65199995040894,6.73925056010485,6.56474934071302,1.25278460979462,1.28402495384216,0.819479703903198,0.376895278692245,0.326662421226501,0.0822879821062088,2.50958585739136
"United Arab Emirates",21,6.64799976348877,6.72204730376601,6.57395222321153,1.62634336948395,1.26641023159027,0.726798236370087,0.60834527015686,0.3609419465065,0.324489563703537,1.734703540802
"Brazil",22,6.63500022888184,6.72546950161457,6.5445309561491,1.10735321044922,1.43130600452423,0.616552352905273,0.437453746795654,0.16234989464283,0.111092761158943,2.76926708221436
"Czech Republic",23,6.60900020599365,6.68386246263981,6.5341379493475,1.35268235206604,1.43388521671295,0.754444003105164,0.490946173667908,0.0881067588925362,0.0368729270994663,2.45186185836792
"Argentina",24,6.59899997711182,6.69008508607745,6.50791486814618,1.18529546260834,1.44045114517212,0.695137083530426,0.494519203901291,0.109457060694695,0.059739887714386,2.61400532722473
"Mexico",25,6.57800006866455,6.67114890769124,6.48485122963786,1.15318381786346,1.210862159729,0.709978997707367,0.412730008363724,0.120990432798862,0.132774114608765,2.83715486526489
"Singapore",26,6.57200002670288,6.63672306910157,6.50727698430419,1.69227766990662,1.35381436347961,0.949492394924164,0.549840569496155,0.345965981483459,0.46430778503418,1.21636199951172
"Malta",27,6.52699995040894,6.59839677289128,6.45560312792659,1.34327983856201,1.48841166496277,0.821944236755371,0.588767051696777,0.574730575084686,0.153066068887711,1.55686283111572
"Uruguay",28,6.4539999961853,6.54590621769428,6.36209377467632,1.21755969524384,1.41222786903381,0.719216823577881,0.57939225435257,0.175096929073334,0.178061872720718,2.17240953445435
"Guatemala",29,6.4539999961853,6.56687397271395,6.34112601965666,0.872001945972443,1.25558519363403,0.540239989757538,0.531310617923737,0.283488392829895,0.0772232785820961,2.89389109611511
"Panama",30,6.4520001411438,6.55713071614504,6.34686956614256,1.23374843597412,1.37319254875183,0.706156134605408,0.550026834011078,0.21055693924427,0.070983923971653,2.30719995498657
"France",31,6.44199991226196,6.51576780244708,6.36823202207685,1.43092346191406,1.38777685165405,0.844465851783752,0.470222115516663,0.129762306809425,0.172502428293228,2.00595474243164
"Thailand",32,6.42399978637695,6.50911685571074,6.33888271704316,1.12786877155304,1.42579245567322,0.647239029407501,0.580200731754303,0.572123110294342,0.0316127352416515,2.03950834274292
"Taiwan Province of China",33,6.42199993133545,6.49459602192044,6.34940384075046,1.43362653255463,1.38456535339355,0.793984234333038,0.361466586589813,0.258360475301743,0.0638292357325554,2.1266074180603
"Spain",34,6.40299987792969,6.4710548453033,6.33494491055608,1.38439786434174,1.53209090232849,0.888960599899292,0.408781230449677,0.190133571624756,0.0709140971302986,1.92775774002075
"Qatar",35,6.375,6.56847681432962,6.18152318567038,1.87076568603516,1.27429687976837,0.710098087787628,0.604130983352661,0.330473870038986,0.439299255609512,1.1454644203186
"Colombia",36,6.35699987411499,6.45202005416155,6.26197969406843,1.07062232494354,1.4021829366684,0.595027923583984,0.477487415075302,0.149014472961426,0.0466687418520451,2.61606812477112
"Saudi Arabia",37,6.3439998626709,6.44416661202908,6.24383311331272,1.53062355518341,1.28667759895325,0.590148329734802,0.449750572443008,0.147616013884544,0.27343225479126,2.0654296875
"Trinidad and Tobago",38,6.16800022125244,6.38153389066458,5.95446655184031,1.36135590076447,1.3802285194397,0.519983291625977,0.518630743026733,0.325296461582184,0.00896481610834599,2.05324745178223
"Kuwait",39,6.10500001907349,6.1919569888711,6.01804304927588,1.63295245170593,1.25969874858856,0.632105708122253,0.496337592601776,0.228289797902107,0.215159550309181,1.64042520523071
"Slovakia",40,6.09800004959106,6.1773484121263,6.01865168705583,1.32539355754852,1.50505924224854,0.712732911109924,0.295817464590073,0.136544480919838,0.0242108516395092,2.09777665138245
"Bahrain",41,6.08699989318848,6.17898906782269,5.99501071855426,1.48841226100922,1.32311046123505,0.653133034706116,0.536746919155121,0.172668486833572,0.257042169570923,1.65614938735962
"Malaysia",42,6.08400011062622,6.17997963652015,5.98802058473229,1.29121541976929,1.28464603424072,0.618784427642822,0.402264982461929,0.416608929634094,0.0656007081270218,2.00444889068604
"Nicaragua",43,6.07100009918213,6.18658360034227,5.95541659802198,0.737299203872681,1.28721570968628,0.653095960617065,0.447551846504211,0.301674216985703,0.130687981843948,2.51393055915833
"Ecuador",44,6.00799989700317,6.10584767535329,5.91015211865306,1.00082039833069,1.28616881370544,0.685636222362518,0.4551981985569,0.150112465023994,0.140134647488594,2.29035258293152
"El Salvador",45,6.00299978256226,6.108635122329,5.89736444279552,0.909784495830536,1.18212509155273,0.596018552780151,0.432452529668808,0.0782579854130745,0.0899809598922729,2.7145938873291
"Poland",46,5.97300004959106,6.05390834122896,5.89209175795317,1.29178786277771,1.44571197032928,0.699475347995758,0.520342111587524,0.158465966582298,0.0593078061938286,1.79772281646729
"Uzbekistan",47,5.97100019454956,6.06553757295012,5.876462816149,0.786441087722778,1.54896914958954,0.498272627592087,0.658248662948608,0.415983647108078,0.246528223156929,1.81691360473633
"Italy",48,5.96400022506714,6.04273690596223,5.88526354417205,1.39506661891937,1.44492328166962,0.853144347667694,0.256450712680817,0.17278964817524,0.0280280914157629,1.81331205368042
"Russia",49,5.96299982070923,6.03027490749955,5.89572473391891,1.28177809715271,1.46928238868713,0.547349333763123,0.373783111572266,0.0522638224065304,0.0329628810286522,2.20560741424561
"Belize",50,5.95599985122681,6.19724231779575,5.71475738465786,0.907975316047668,1.08141779899597,0.450191766023636,0.547509372234344,0.240015640854836,0.0965810716152191,2.63195562362671
"Japan",51,5.92000007629395,5.99071944460273,5.84928070798516,1.41691517829895,1.43633782863617,0.913475871086121,0.505625545978546,0.12057276815176,0.163760736584663,1.36322355270386
"Lithuania",52,5.90199995040894,5.98266964137554,5.82133025944233,1.31458234786987,1.47351610660553,0.62894994020462,0.234231784939766,0.010164656676352,0.0118656428530812,2.22844052314758
"Algeria",53,5.87200021743774,5.97828643366694,5.76571400120854,1.09186446666718,1.1462174654007,0.617584645748138,0.233335807919502,0.0694366469979286,0.146096110343933,2.56760382652283
"Latvia",54,5.84999990463257,5.92026353821158,5.77973627105355,1.26074862480164,1.40471494197845,0.638566970825195,0.325707912445068,0.153074786067009,0.0738427266478539,1.99365520477295
"South Korea",55,5.83799982070923,5.92255902826786,5.7534406131506,1.40167844295502,1.12827444076538,0.900214076042175,0.257921665906906,0.206674367189407,0.0632826685905457,1.88037800788879
"Moldova",56,5.83799982070923,5.90837083846331,5.76762880295515,0.728870630264282,1.25182557106018,0.589465200901031,0.240729048848152,0.208779126405716,0.0100912861526012,2.80780839920044
"Romania",57,5.82499980926514,5.91969415679574,5.73030546173453,1.21768391132355,1.15009129047394,0.685158312320709,0.457003742456436,0.133519917726517,0.00438790069893003,2.17683148384094
"Bolivia",58,5.82299995422363,5.9039769025147,5.74202300593257,0.833756566047668,1.22761905193329,0.473630249500275,0.558732926845551,0.22556072473526,0.0604777261614799,2.44327902793884
"Turkmenistan",59,5.82200002670288,5.88518087550998,5.75881917789578,1.13077676296234,1.49314916133881,0.437726080417633,0.41827192902565,0.24992498755455,0.259270340204239,1.83290982246399
"Kazakhstan",60,5.81899976730347,5.90364177465439,5.73435775995255,1.28455626964569,1.38436901569366,0.606041550636292,0.437454283237457,0.201964423060417,0.119282886385918,1.78489255905151
"North Cyprus",61,5.80999994277954,5.89736646488309,5.72263342067599,1.3469113111496,1.18630337715149,0.834647238254547,0.471203625202179,0.266845703125,0.155353352427483,1.54915761947632
"Slovenia",62,5.75799989700317,5.84222516000271,5.67377463400364,1.3412059545517,1.45251882076263,0.790828227996826,0.572575807571411,0.242649093270302,0.0451289787888527,1.31331729888916
"Peru",63,5.71500015258789,5.81194677859545,5.61805352658033,1.03522527217865,1.21877038478851,0.630166113376617,0.450002878904343,0.126819714903831,0.0470490865409374,2.20726943016052
"Mauritius",64,5.62900018692017,5.72986219167709,5.52813818216324,1.18939554691315,1.20956099033356,0.638007462024689,0.491247326135635,0.360933750867844,0.0421815551817417,1.6975839138031
"Cyprus",65,5.62099981307983,5.71469269931316,5.5273069268465,1.35593807697296,1.13136327266693,0.84471470117569,0.355111539363861,0.271254301071167,0.0412379764020443,1.62124919891357
"Estonia",66,5.61100006103516,5.68813987419009,5.53386024788022,1.32087934017181,1.47667109966278,0.695168316364288,0.479131430387497,0.0988908112049103,0.183248922228813,1.35750865936279
"Belarus",67,5.56899976730347,5.64611424401402,5.49188529059291,1.15655755996704,1.44494521617889,0.637714266777039,0.295400261878967,0.15513750910759,0.156313821673393,1.72323298454285
"Libya",68,5.52500009536743,5.67695380687714,5.37304638385773,1.10180306434631,1.35756433010101,0.520169019699097,0.465733230113983,0.152073666453362,0.0926102101802826,1.83501124382019
"Turkey",69,5.5,5.59486496329308,5.40513503670692,1.19827437400818,1.33775317668915,0.637605607509613,0.300740599632263,0.0466930419206619,0.0996715798974037,1.87927794456482
"Paraguay",70,5.49300003051758,5.57738126963377,5.40861879140139,0.932537317276001,1.50728487968445,0.579250693321228,0.473507791757584,0.224150657653809,0.091065913438797,1.6853334903717
"Hong Kong S.A.R., China",71,5.47200012207031,5.54959417313337,5.39440607100725,1.55167484283447,1.26279091835022,0.943062424659729,0.490968644618988,0.374465793371201,0.293933749198914,0.554633140563965
"Philippines",72,5.42999982833862,5.54533505424857,5.31466460242867,0.85769921541214,1.25391757488251,0.468009054660797,0.585214674472809,0.193513423204422,0.0993318930268288,1.97260475158691
"Serbia",73,5.39499998092651,5.49156965613365,5.29843030571938,1.06931757926941,1.25818979740143,0.65078467130661,0.208715528249741,0.220125883817673,0.0409037806093693,1.94708442687988
"Jordan",74,5.33599996566772,5.44841002240777,5.22358990892768,0.991012394428253,1.23908889293671,0.604590058326721,0.418421149253845,0.172170460224152,0.11980327218771,1.79117655754089
"Hungary",75,5.32399988174438,5.40303970918059,5.24496005430818,1.2860119342804,1.34313309192657,0.687763452529907,0.175863519310951,0.0784016624093056,0.0366369374096394,1.71645927429199
"Jamaica",76,5.31099987030029,5.58139872848988,5.04060101211071,0.925579309463501,1.36821806430817,0.641022384166718,0.474307239055634,0.233818337321281,0.0552677810192108,1.61232566833496
"Croatia",77,5.29300022125244,5.39177720457315,5.19422323793173,1.22255623340607,0.96798300743103,0.701288521289825,0.255772292613983,0.248002976179123,0.0431031100451946,1.85449242591858
"Kosovo",78,5.27899980545044,5.36484799548984,5.19315161541104,0.951484382152557,1.13785350322723,0.541452050209045,0.260287940502167,0.319931447505951,0.0574716180562973,2.01054072380066
"China",79,5.27299976348877,5.31927808977663,5.2267214372009,1.08116579055786,1.16083741188049,0.741415500640869,0.472787708044052,0.0288068410009146,0.0227942746132612,1.76493859291077
"Pakistan",80,5.26900005340576,5.35998364135623,5.17801646545529,0.72688353061676,0.672690689563751,0.402047783136368,0.23521526157856,0.315446019172668,0.124348066747189,2.79248929023743
"Indonesia",81,5.26200008392334,5.35288859814405,5.17111156970263,0.995538592338562,1.27444469928741,0.492345720529556,0.443323463201523,0.611704587936401,0.0153171354904771,1.42947697639465
"Venezuela",82,5.25,5.3700319455564,5.1299680544436,1.12843120098114,1.43133759498596,0.617144227027893,0.153997123241425,0.0650196298956871,0.0644911229610443,1.78946375846863
"Montenegro",83,5.23699998855591,5.34104444056749,5.13295553654432,1.12112903594971,1.23837649822235,0.667464673519135,0.194989055395126,0.197911024093628,0.0881741940975189,1.72919154167175
"Morocco",84,5.2350001335144,5.31834096476436,5.15165930226445,0.878114581108093,0.774864435195923,0.59771066904068,0.408158332109451,0.0322099551558495,0.0877631828188896,2.45618939399719
"Azerbaijan",85,5.23400020599365,5.29928653523326,5.16871387675405,1.15360176563263,1.15240025520325,0.540775775909424,0.398155838251114,0.0452693402767181,0.180987507104874,1.76248168945312
"Dominican Republic",86,5.23000001907349,5.34906088516116,5.11093915298581,1.07937383651733,1.40241670608521,0.574873745441437,0.55258983373642,0.186967849731445,0.113945253193378,1.31946516036987
"Greece",87,5.22700023651123,5.3252461694181,5.12875430360436,1.28948748111725,1.23941457271576,0.810198903083801,0.0957312509417534,0,0.04328977689147,1.74922156333923
"Lebanon",88,5.22499990463257,5.31888228848577,5.13111752077937,1.07498753070831,1.12962424755096,0.735081076622009,0.288515985012054,0.264450758695602,0.037513829767704,1.69507384300232
"Portugal",89,5.19500017166138,5.28504173308611,5.10495861023665,1.3151752948761,1.36704301834106,0.795843541622162,0.498465299606323,0.0951027125120163,0.0158694516867399,1.10768270492554
"Bosnia and Herzegovina",90,5.18200016021729,5.27633568674326,5.08766463369131,0.982409417629242,1.0693359375,0.705186307430267,0.204403176903725,0.328867495059967,0,1.89217257499695
"Honduras",91,5.18100023269653,5.30158279687166,5.0604176685214,0.730573117733002,1.14394497871399,0.582569479942322,0.348079860210419,0.236188873648643,0.0733454525470734,2.06581115722656
"Macedonia",92,5.17500019073486,5.27217263966799,5.07782774180174,1.06457793712616,1.20789301395416,0.644948184490204,0.325905978679657,0.25376096367836,0.0602777935564518,1.6174693107605
"Somalia",93,5.15100002288818,5.24248370990157,5.0595163358748,0.0226431842893362,0.721151351928711,0.113989137113094,0.602126955986023,0.291631311178207,0.282410323619843,3.11748456954956
"Vietnam",94,5.07399988174438,5.14728076457977,5.000718998909,0.788547575473785,1.27749133110046,0.652168989181519,0.571055591106415,0.234968051314354,0.0876332372426987,1.46231865882874
"Nigeria",95,5.07399988174438,5.20950013548136,4.93849962800741,0.783756256103516,1.21577048301697,0.0569157302379608,0.394952565431595,0.230947196483612,0.0261215660721064,2.36539053916931
"Tajikistan",96,5.04099988937378,5.11142559587956,4.970574182868,0.524713635444641,1.27146327495575,0.529235124588013,0.471566706895828,0.248997643589973,0.146377146244049,1.84904932975769
"Bhutan",97,5.01100015640259,5.07933456212282,4.94266575068235,0.885416388511658,1.34012651443481,0.495879292488098,0.501537680625916,0.474054545164108,0.173380389809608,1.14018440246582
"Kyrgyzstan",98,5.00400018692017,5.08991990312934,4.91808047071099,0.596220076084137,1.39423859119415,0.553457796573639,0.454943388700485,0.42858037352562,0.0394391790032387,1.53672313690186
"Nepal",99,4.96199989318848,5.06735607936978,4.85664370700717,0.479820191860199,1.17928326129913,0.504130780696869,0.440305948257446,0.394096165895462,0.0729755461215973,1.8912410736084
"Mongolia",100,4.95499992370605,5.0216795091331,4.88832033827901,1.02723586559296,1.4930112361908,0.557783484458923,0.394143968820572,0.338464230298996,0.0329022891819477,1.11129236221313
"South Africa",101,4.8289999961853,4.92943518772721,4.72856480464339,1.05469870567322,1.38478863239288,0.187080070376396,0.479246735572815,0.139362379908562,0.0725094974040985,1.51090860366821
"Tunisia",102,4.80499982833862,4.88436700701714,4.72563264966011,1.00726580619812,0.868351459503174,0.613212049007416,0.289680689573288,0.0496933571994305,0.0867231488227844,1.89025115966797
"Palestinian Territories",103,4.77500009536743,4.88184834256768,4.66815184816718,0.716249227523804,1.15564715862274,0.565666973590851,0.25471106171608,0.114173173904419,0.0892826020717621,1.8788902759552
"Egypt",104,4.7350001335144,4.82513378962874,4.64486647740006,0.989701807498932,0.997471392154694,0.520187258720398,0.282110154628754,0.128631442785263,0.114381365478039,1.70216107368469
"Bulgaria",105,4.71400022506714,4.80369470641017,4.62430574372411,1.1614590883255,1.43437945842743,0.708217680454254,0.289231717586517,0.113177694380283,0.0110515309497714,0.996139287948608
"Sierra Leone",106,4.70900011062622,4.85064333498478,4.56735688626766,0.36842092871666,0.984136044979095,0.00556475389748812,0.318697690963745,0.293040901422501,0.0710951760411263,2.66845989227295
"Cameroon",107,4.69500017166138,4.79654085725546,4.5934594860673,0.564305365085602,0.946018218994141,0.132892116904259,0.430388748645782,0.236298456788063,0.0513066314160824,2.3336455821991
"Iran",108,4.69199991226196,4.79822470769286,4.58577511683106,1.15687310695648,0.711551249027252,0.639333188533783,0.249322608113289,0.387242913246155,0.048761073499918,1.49873495101929
"Albania",109,4.64400005340576,4.75246400639415,4.53553610041738,0.996192753314972,0.803685247898102,0.731159746646881,0.381498634815216,0.201312944293022,0.0398642159998417,1.49044156074524
"Bangladesh",110,4.60799980163574,4.68982165828347,4.52617794498801,0.586682975292206,0.735131740570068,0.533241033554077,0.478356659412384,0.172255352139473,0.123717859387398,1.97873616218567
"Namibia",111,4.57399988174438,4.77035474091768,4.37764502257109,0.964434325695038,1.0984708070755,0.33861181139946,0.520303547382355,0.0771337449550629,0.0931469723582268,1.4818902015686
"Kenya",112,4.55299997329712,4.65569159060717,4.45030835598707,0.560479462146759,1.06795072555542,0.309988349676132,0.452763766050339,0.444860309362411,0.0646413192152977,1.6519021987915
"Mozambique",113,4.55000019073486,4.77410232633352,4.3258980551362,0.234305649995804,0.870701014995575,0.106654435396194,0.480791091918945,0.322228103876114,0.179436385631561,2.35565090179443
"Myanmar",114,4.54500007629395,4.61473994642496,4.47526020616293,0.367110550403595,1.12323594093323,0.397522568702698,0.514492034912109,0.838075160980225,0.188816204667091,1.11529040336609
"Senegal",115,4.53499984741211,4.6016037812829,4.46839591354132,0.479309022426605,1.17969191074371,0.409362852573395,0.377922266721725,0.183468893170357,0.115460447967052,1.78964614868164
"Zambia",116,4.51399993896484,4.64410550147295,4.38389437645674,0.636406779289246,1.00318729877472,0.257835894823074,0.461603492498398,0.249580144882202,0.0782135501503944,1.82670545578003
"Iraq",117,4.49700021743774,4.62259140968323,4.37140902519226,1.10271048545837,0.978613197803497,0.501180469989777,0.288555532693863,0.19963726401329,0.107215754687786,1.31890726089478
"Gabon",118,4.46500015258789,4.5573617656529,4.37263853952289,1.1982102394104,1.1556202173233,0.356578588485718,0.312328577041626,0.0437853783369064,0.0760467872023582,1.32291626930237
"Ethiopia",119,4.46000003814697,4.54272867664695,4.377271399647,0.339233845472336,0.86466920375824,0.353409707546234,0.408842742443085,0.312650740146637,0.165455713868141,2.01574373245239
"Sri Lanka",120,4.44000005722046,4.55344719231129,4.32655292212963,1.00985014438629,1.25997638702393,0.625130832195282,0.561213254928589,0.490863561630249,0.0736539661884308,0.419389247894287
"Armenia",121,4.37599992752075,4.46673461228609,4.28526524275541,0.900596737861633,1.00748372077942,0.637524425983429,0.198303267359734,0.0834880918264389,0.0266744215041399,1.5214991569519
"India",122,4.31500005722046,4.37152201749384,4.25847809694707,0.792221248149872,0.754372596740723,0.455427616834641,0.469987004995346,0.231538489460945,0.0922268852591515,1.5191171169281
"Mauritania",123,4.29199981689453,4.37716361626983,4.20683601751924,0.648457288742065,1.2720308303833,0.285349279642105,0.0960980430245399,0.201870024204254,0.136957004666328,1.65163731575012
"Congo (Brazzaville)",124,4.29099988937378,4.41005350500345,4.17194627374411,0.808964252471924,0.832044363021851,0.28995743393898,0.435025870800018,0.120852127671242,0.0796181336045265,1.72413563728333
"Georgia",125,4.28599977493286,4.37493396580219,4.19706558406353,0.950612664222717,0.57061493396759,0.649546980857849,0.309410035610199,0.0540088154375553,0.251666635274887,1.50013780593872
"Congo (Kinshasa)",126,4.28000020980835,4.35781083270907,4.20218958690763,0.0921023488044739,1.22902345657349,0.191407024860382,0.235961347818375,0.246455833315849,0.0602413564920425,2.22495865821838
"Mali",127,4.19000005722046,4.26967071101069,4.11032940343022,0.476180493831635,1.28147339820862,0.169365674257278,0.306613743305206,0.183354198932648,0.104970246553421,1.66819095611572
"Ivory Coast",128,4.17999982833862,4.27518256321549,4.08481709346175,0.603048920631409,0.904780030250549,0.0486421696841717,0.447706192731857,0.201237469911575,0.130061775445938,1.84496426582336
"Cambodia",129,4.16800022125244,4.27851781353354,4.05748262897134,0.601765096187592,1.00623834133148,0.429783403873444,0.633375823497772,0.385922968387604,0.0681059509515762,1.04294109344482
"Sudan",130,4.13899993896484,4.34574716508389,3.9322527128458,0.65951669216156,1.21400856971741,0.290920823812485,0.0149958552792668,0.182317450642586,0.089847519993782,1.68706583976746
"Ghana",131,4.11999988555908,4.22270720854402,4.01729256257415,0.667224824428558,0.873664736747742,0.295637726783752,0.423026293516159,0.256923943758011,0.0253363698720932,1.57786750793457
"Ukraine",132,4.09600019454956,4.18541010454297,4.00659028455615,0.89465194940567,1.39453756809235,0.575903952121735,0.122974775731564,0.270061463117599,0.0230294708162546,0.814382314682007
"Uganda",133,4.08099985122681,4.19579996705055,3.96619973540306,0.381430715322495,1.12982773780823,0.217632606625557,0.443185955286026,0.325766056776047,0.057069718837738,1.526362657547
"Burkina Faso",134,4.03200006484985,4.12405906438828,3.93994106531143,0.3502277135849,1.04328000545502,0.215844258666039,0.324367851018906,0.250864684581757,0.120328105986118,1.72721290588379
"Niger",135,4.02799987792969,4.11194681972265,3.94405293613672,0.161925330758095,0.993025004863739,0.26850500702858,0.36365869641304,0.228673845529556,0.138572946190834,1.87398338317871
"Malawi",136,3.97000002861023,4.07747881740332,3.86252123981714,0.233442038297653,0.512568831443787,0.315089583396912,0.466914653778076,0.287170469760895,0.0727116540074348,2.08178615570068
"Chad",137,3.93600010871887,4.0347115239501,3.83728869348764,0.438012987375259,0.953855872154236,0.0411347150802612,0.16234202682972,0.216113850474358,0.0535818822681904,2.07123804092407
"Zimbabwe",138,3.875,3.97869964271784,3.77130035728216,0.375846534967422,1.08309590816498,0.196763753890991,0.336384207010269,0.189143493771553,0.0953753814101219,1.59797024726868
"Lesotho",139,3.80800008773804,4.04434397548437,3.5716561999917,0.521021246910095,1.19009518623352,0,0.390661299228668,0.157497271895409,0.119094640016556,1.42983531951904
"Angola",140,3.79500007629395,3.95164193540812,3.63835821717978,0.858428180217743,1.10441195964813,0.0498686656355858,0,0.097926490008831,0.0697203353047371,1.61448240280151
"Afghanistan",141,3.79399991035461,3.87366141527891,3.71433840543032,0.401477217674255,0.581543326377869,0.180746778845787,0.106179520487785,0.311870932579041,0.0611578300595284,2.15080118179321
"Botswana",142,3.76600003242493,3.87412266626954,3.65787739858031,1.12209415435791,1.22155499458313,0.341755509376526,0.505196332931519,0.0993484482169151,0.0985831990838051,0.3779137134552
"Benin",143,3.65700006484985,3.74578355133533,3.56821657836437,0.431085407733917,0.435299843549728,0.209930211305618,0.425962775945663,0.207948461174965,0.0609290152788162,1.88563096523285
"Madagascar",144,3.64400005340576,3.71431910589337,3.57368100091815,0.305808693170547,0.913020372390747,0.375223308801651,0.189196765422821,0.208732530474663,0.0672319754958153,1.58461260795593
"Haiti",145,3.6029999256134,3.73471479773521,3.47128505349159,0.368610262870789,0.640449821949005,0.277321130037308,0.0303698573261499,0.489203780889511,0.0998721495270729,1.69716763496399
"Yemen",146,3.59299993515015,3.69275031983852,3.49324955046177,0.591683447360992,0.93538224697113,0.310080915689468,0.249463722109795,0.104125209152699,0.0567674227058887,1.34560060501099
"South Sudan",147,3.59100008010864,3.72553858578205,3.45646157443523,0.39724862575531,0.601323127746582,0.163486003875732,0.147062435746193,0.285670816898346,0.116793513298035,1.87956738471985
"Liberia",148,3.53299999237061,3.65375626087189,3.41224372386932,0.119041793048382,0.872117936611176,0.229918196797371,0.332881182432175,0.26654988527298,0.0389482490718365,1.67328596115112
"Guinea",149,3.50699996948242,3.58442812889814,3.4295718100667,0.244549930095673,0.791244685649872,0.194129139184952,0.348587512969971,0.264815092086792,0.110937617719173,1.55231189727783
"Togo",150,3.49499988555908,3.59403811171651,3.39596165940166,0.305444717407227,0.431882530450821,0.247105568647385,0.38042613863945,0.196896150708199,0.0956650152802467,1.83722925186157
"Rwanda",151,3.47099995613098,3.54303023353219,3.39896967872977,0.368745893239975,0.945707023143768,0.326424807310104,0.581843852996826,0.252756029367447,0.455220013856888,0.540061235427856
"Syria",152,3.46199989318848,3.66366855680943,3.26033122956753,0.777153134346008,0.396102607250214,0.50053334236145,0.0815394446253777,0.493663728237152,0.151347130537033,1.06157350540161
"Tanzania",153,3.34899997711182,3.46142975538969,3.23657019883394,0.511135876178741,1.04198980331421,0.364509284496307,0.390017777681351,0.354256361722946,0.0660351067781448,0.621130466461182
"Burundi",154,2.90499997138977,3.07469033300877,2.73530960977077,0.091622568666935,0.629793584346771,0.151610791683197,0.0599007532000542,0.204435184597969,0.0841479450464249,1.68302416801453
"Central African Republic",155,2.69300007820129,2.86488426923752,2.52111588716507,0,0,0.0187726859003305,0.270842045545578,0.280876487493515,0.0565650761127472,2.06600475311279
1 Country Happiness.Rank Happiness.Score Whisker.high Whisker.low Economy..GDP.per.Capita. Family Health..Life.Expectancy. Freedom Generosity Trust..Government.Corruption. Dystopia.Residual
2 Norway 1 7.53700017929077 7.59444482058287 7.47955553799868 1.61646318435669 1.53352355957031 0.796666502952576 0.635422587394714 0.36201223731041 0.315963834524155 2.27702665328979
3 Denmark 2 7.52199983596802 7.58172806486487 7.46227160707116 1.48238301277161 1.55112159252167 0.792565524578094 0.626006722450256 0.355280488729477 0.40077006816864 2.31370735168457
4 Iceland 3 7.50400018692017 7.62203047305346 7.38596990078688 1.480633020401 1.6105740070343 0.833552122116089 0.627162635326385 0.475540220737457 0.153526559472084 2.32271528244019
5 Switzerland 4 7.49399995803833 7.56177242040634 7.42622749567032 1.56497955322266 1.51691174507141 0.858131289482117 0.620070576667786 0.290549278259277 0.367007285356522 2.2767162322998
6 Finland 5 7.4689998626709 7.52754207581282 7.41045764952898 1.44357192516327 1.5402467250824 0.80915766954422 0.617950856685638 0.24548277258873 0.38261154294014 2.4301815032959
7 Netherlands 6 7.3769998550415 7.42742584124207 7.32657386884093 1.50394463539124 1.42893922328949 0.810696125030518 0.585384488105774 0.470489829778671 0.282661825418472 2.29480409622192
8 Canada 7 7.31599998474121 7.38440283536911 7.24759713411331 1.47920441627502 1.48134899139404 0.83455765247345 0.611100912094116 0.435539722442627 0.287371516227722 2.18726444244385
9 New Zealand 8 7.31400012969971 7.3795104418695 7.24848981752992 1.40570604801178 1.54819512367249 0.816759705543518 0.614062130451202 0.500005125999451 0.382816702127457 2.0464563369751
10 Sweden 9 7.28399991989136 7.34409487739205 7.22390496239066 1.49438726902008 1.47816216945648 0.830875158309937 0.612924098968506 0.385399252176285 0.384398728609085 2.09753799438477
11 Australia 10 7.28399991989136 7.35665122494102 7.2113486148417 1.484414935112 1.51004195213318 0.84388679265976 0.601607382297516 0.477699249982834 0.301183730363846 2.06521081924438
12 Israel 11 7.21299982070923 7.27985325649381 7.14614638492465 1.37538242340088 1.37628996372223 0.83840399980545 0.405988603830338 0.330082654953003 0.0852421000599861 2.80175733566284
13 Costa Rica 12 7.0789999961853 7.16811166629195 6.98988832607865 1.10970628261566 1.41640365123749 0.759509265422821 0.580131649971008 0.214613229036331 0.100106589496136 2.89863920211792
14 Austria 13 7.00600004196167 7.07066981211305 6.94133027181029 1.48709726333618 1.4599449634552 0.815328419208527 0.567766189575195 0.316472321748734 0.221060365438461 2.1385064125061
15 United States 14 6.99300003051758 7.07465674757957 6.91134331345558 1.54625928401947 1.41992056369781 0.77428662776947 0.505740523338318 0.392578780651093 0.135638788342476 2.2181134223938
16 Ireland 15 6.97700023651123 7.04335166752338 6.91064880549908 1.53570663928986 1.55823111534119 0.80978262424469 0.573110342025757 0.42785832285881 0.29838815331459 1.77386903762817
17 Germany 16 6.95100021362305 7.00538156926632 6.89661885797977 1.48792338371277 1.47252035140991 0.798950731754303 0.562511384487152 0.336269170045853 0.276731938123703 2.01576995849609
18 Belgium 17 6.89099979400635 6.95582075044513 6.82617883756757 1.46378076076508 1.46231269836426 0.818091869354248 0.539770722389221 0.231503337621689 0.251343131065369 2.12421035766602
19 Luxembourg 18 6.86299991607666 6.92368609987199 6.80231373228133 1.74194359779358 1.45758366584778 0.845089495182037 0.59662789106369 0.283180981874466 0.31883442401886 1.61951208114624
20 United Kingdom 19 6.71400022506714 6.78379176110029 6.64420868903399 1.44163393974304 1.49646008014679 0.805335938930511 0.508190035820007 0.492774158716202 0.265428066253662 1.70414352416992
21 Chile 20 6.65199995040894 6.73925056010485 6.56474934071302 1.25278460979462 1.28402495384216 0.819479703903198 0.376895278692245 0.326662421226501 0.0822879821062088 2.50958585739136
22 United Arab Emirates 21 6.64799976348877 6.72204730376601 6.57395222321153 1.62634336948395 1.26641023159027 0.726798236370087 0.60834527015686 0.3609419465065 0.324489563703537 1.734703540802
23 Brazil 22 6.63500022888184 6.72546950161457 6.5445309561491 1.10735321044922 1.43130600452423 0.616552352905273 0.437453746795654 0.16234989464283 0.111092761158943 2.76926708221436
24 Czech Republic 23 6.60900020599365 6.68386246263981 6.5341379493475 1.35268235206604 1.43388521671295 0.754444003105164 0.490946173667908 0.0881067588925362 0.0368729270994663 2.45186185836792
25 Argentina 24 6.59899997711182 6.69008508607745 6.50791486814618 1.18529546260834 1.44045114517212 0.695137083530426 0.494519203901291 0.109457060694695 0.059739887714386 2.61400532722473
26 Mexico 25 6.57800006866455 6.67114890769124 6.48485122963786 1.15318381786346 1.210862159729 0.709978997707367 0.412730008363724 0.120990432798862 0.132774114608765 2.83715486526489
27 Singapore 26 6.57200002670288 6.63672306910157 6.50727698430419 1.69227766990662 1.35381436347961 0.949492394924164 0.549840569496155 0.345965981483459 0.46430778503418 1.21636199951172
28 Malta 27 6.52699995040894 6.59839677289128 6.45560312792659 1.34327983856201 1.48841166496277 0.821944236755371 0.588767051696777 0.574730575084686 0.153066068887711 1.55686283111572
29 Uruguay 28 6.4539999961853 6.54590621769428 6.36209377467632 1.21755969524384 1.41222786903381 0.719216823577881 0.57939225435257 0.175096929073334 0.178061872720718 2.17240953445435
30 Guatemala 29 6.4539999961853 6.56687397271395 6.34112601965666 0.872001945972443 1.25558519363403 0.540239989757538 0.531310617923737 0.283488392829895 0.0772232785820961 2.89389109611511
31 Panama 30 6.4520001411438 6.55713071614504 6.34686956614256 1.23374843597412 1.37319254875183 0.706156134605408 0.550026834011078 0.21055693924427 0.070983923971653 2.30719995498657
32 France 31 6.44199991226196 6.51576780244708 6.36823202207685 1.43092346191406 1.38777685165405 0.844465851783752 0.470222115516663 0.129762306809425 0.172502428293228 2.00595474243164
33 Thailand 32 6.42399978637695 6.50911685571074 6.33888271704316 1.12786877155304 1.42579245567322 0.647239029407501 0.580200731754303 0.572123110294342 0.0316127352416515 2.03950834274292
34 Taiwan Province of China 33 6.42199993133545 6.49459602192044 6.34940384075046 1.43362653255463 1.38456535339355 0.793984234333038 0.361466586589813 0.258360475301743 0.0638292357325554 2.1266074180603
35 Spain 34 6.40299987792969 6.4710548453033 6.33494491055608 1.38439786434174 1.53209090232849 0.888960599899292 0.408781230449677 0.190133571624756 0.0709140971302986 1.92775774002075
36 Qatar 35 6.375 6.56847681432962 6.18152318567038 1.87076568603516 1.27429687976837 0.710098087787628 0.604130983352661 0.330473870038986 0.439299255609512 1.1454644203186
37 Colombia 36 6.35699987411499 6.45202005416155 6.26197969406843 1.07062232494354 1.4021829366684 0.595027923583984 0.477487415075302 0.149014472961426 0.0466687418520451 2.61606812477112
38 Saudi Arabia 37 6.3439998626709 6.44416661202908 6.24383311331272 1.53062355518341 1.28667759895325 0.590148329734802 0.449750572443008 0.147616013884544 0.27343225479126 2.0654296875
39 Trinidad and Tobago 38 6.16800022125244 6.38153389066458 5.95446655184031 1.36135590076447 1.3802285194397 0.519983291625977 0.518630743026733 0.325296461582184 0.00896481610834599 2.05324745178223
40 Kuwait 39 6.10500001907349 6.1919569888711 6.01804304927588 1.63295245170593 1.25969874858856 0.632105708122253 0.496337592601776 0.228289797902107 0.215159550309181 1.64042520523071
41 Slovakia 40 6.09800004959106 6.1773484121263 6.01865168705583 1.32539355754852 1.50505924224854 0.712732911109924 0.295817464590073 0.136544480919838 0.0242108516395092 2.09777665138245
42 Bahrain 41 6.08699989318848 6.17898906782269 5.99501071855426 1.48841226100922 1.32311046123505 0.653133034706116 0.536746919155121 0.172668486833572 0.257042169570923 1.65614938735962
43 Malaysia 42 6.08400011062622 6.17997963652015 5.98802058473229 1.29121541976929 1.28464603424072 0.618784427642822 0.402264982461929 0.416608929634094 0.0656007081270218 2.00444889068604
44 Nicaragua 43 6.07100009918213 6.18658360034227 5.95541659802198 0.737299203872681 1.28721570968628 0.653095960617065 0.447551846504211 0.301674216985703 0.130687981843948 2.51393055915833
45 Ecuador 44 6.00799989700317 6.10584767535329 5.91015211865306 1.00082039833069 1.28616881370544 0.685636222362518 0.4551981985569 0.150112465023994 0.140134647488594 2.29035258293152
46 El Salvador 45 6.00299978256226 6.108635122329 5.89736444279552 0.909784495830536 1.18212509155273 0.596018552780151 0.432452529668808 0.0782579854130745 0.0899809598922729 2.7145938873291
47 Poland 46 5.97300004959106 6.05390834122896 5.89209175795317 1.29178786277771 1.44571197032928 0.699475347995758 0.520342111587524 0.158465966582298 0.0593078061938286 1.79772281646729
48 Uzbekistan 47 5.97100019454956 6.06553757295012 5.876462816149 0.786441087722778 1.54896914958954 0.498272627592087 0.658248662948608 0.415983647108078 0.246528223156929 1.81691360473633
49 Italy 48 5.96400022506714 6.04273690596223 5.88526354417205 1.39506661891937 1.44492328166962 0.853144347667694 0.256450712680817 0.17278964817524 0.0280280914157629 1.81331205368042
50 Russia 49 5.96299982070923 6.03027490749955 5.89572473391891 1.28177809715271 1.46928238868713 0.547349333763123 0.373783111572266 0.0522638224065304 0.0329628810286522 2.20560741424561
51 Belize 50 5.95599985122681 6.19724231779575 5.71475738465786 0.907975316047668 1.08141779899597 0.450191766023636 0.547509372234344 0.240015640854836 0.0965810716152191 2.63195562362671
52 Japan 51 5.92000007629395 5.99071944460273 5.84928070798516 1.41691517829895 1.43633782863617 0.913475871086121 0.505625545978546 0.12057276815176 0.163760736584663 1.36322355270386
53 Lithuania 52 5.90199995040894 5.98266964137554 5.82133025944233 1.31458234786987 1.47351610660553 0.62894994020462 0.234231784939766 0.010164656676352 0.0118656428530812 2.22844052314758
54 Algeria 53 5.87200021743774 5.97828643366694 5.76571400120854 1.09186446666718 1.1462174654007 0.617584645748138 0.233335807919502 0.0694366469979286 0.146096110343933 2.56760382652283
55 Latvia 54 5.84999990463257 5.92026353821158 5.77973627105355 1.26074862480164 1.40471494197845 0.638566970825195 0.325707912445068 0.153074786067009 0.0738427266478539 1.99365520477295
56 South Korea 55 5.83799982070923 5.92255902826786 5.7534406131506 1.40167844295502 1.12827444076538 0.900214076042175 0.257921665906906 0.206674367189407 0.0632826685905457 1.88037800788879
57 Moldova 56 5.83799982070923 5.90837083846331 5.76762880295515 0.728870630264282 1.25182557106018 0.589465200901031 0.240729048848152 0.208779126405716 0.0100912861526012 2.80780839920044
58 Romania 57 5.82499980926514 5.91969415679574 5.73030546173453 1.21768391132355 1.15009129047394 0.685158312320709 0.457003742456436 0.133519917726517 0.00438790069893003 2.17683148384094
59 Bolivia 58 5.82299995422363 5.9039769025147 5.74202300593257 0.833756566047668 1.22761905193329 0.473630249500275 0.558732926845551 0.22556072473526 0.0604777261614799 2.44327902793884
60 Turkmenistan 59 5.82200002670288 5.88518087550998 5.75881917789578 1.13077676296234 1.49314916133881 0.437726080417633 0.41827192902565 0.24992498755455 0.259270340204239 1.83290982246399
61 Kazakhstan 60 5.81899976730347 5.90364177465439 5.73435775995255 1.28455626964569 1.38436901569366 0.606041550636292 0.437454283237457 0.201964423060417 0.119282886385918 1.78489255905151
62 North Cyprus 61 5.80999994277954 5.89736646488309 5.72263342067599 1.3469113111496 1.18630337715149 0.834647238254547 0.471203625202179 0.266845703125 0.155353352427483 1.54915761947632
63 Slovenia 62 5.75799989700317 5.84222516000271 5.67377463400364 1.3412059545517 1.45251882076263 0.790828227996826 0.572575807571411 0.242649093270302 0.0451289787888527 1.31331729888916
64 Peru 63 5.71500015258789 5.81194677859545 5.61805352658033 1.03522527217865 1.21877038478851 0.630166113376617 0.450002878904343 0.126819714903831 0.0470490865409374 2.20726943016052
65 Mauritius 64 5.62900018692017 5.72986219167709 5.52813818216324 1.18939554691315 1.20956099033356 0.638007462024689 0.491247326135635 0.360933750867844 0.0421815551817417 1.6975839138031
66 Cyprus 65 5.62099981307983 5.71469269931316 5.5273069268465 1.35593807697296 1.13136327266693 0.84471470117569 0.355111539363861 0.271254301071167 0.0412379764020443 1.62124919891357
67 Estonia 66 5.61100006103516 5.68813987419009 5.53386024788022 1.32087934017181 1.47667109966278 0.695168316364288 0.479131430387497 0.0988908112049103 0.183248922228813 1.35750865936279
68 Belarus 67 5.56899976730347 5.64611424401402 5.49188529059291 1.15655755996704 1.44494521617889 0.637714266777039 0.295400261878967 0.15513750910759 0.156313821673393 1.72323298454285
69 Libya 68 5.52500009536743 5.67695380687714 5.37304638385773 1.10180306434631 1.35756433010101 0.520169019699097 0.465733230113983 0.152073666453362 0.0926102101802826 1.83501124382019
70 Turkey 69 5.5 5.59486496329308 5.40513503670692 1.19827437400818 1.33775317668915 0.637605607509613 0.300740599632263 0.0466930419206619 0.0996715798974037 1.87927794456482
71 Paraguay 70 5.49300003051758 5.57738126963377 5.40861879140139 0.932537317276001 1.50728487968445 0.579250693321228 0.473507791757584 0.224150657653809 0.091065913438797 1.6853334903717
72 Hong Kong S.A.R., China 71 5.47200012207031 5.54959417313337 5.39440607100725 1.55167484283447 1.26279091835022 0.943062424659729 0.490968644618988 0.374465793371201 0.293933749198914 0.554633140563965
73 Philippines 72 5.42999982833862 5.54533505424857 5.31466460242867 0.85769921541214 1.25391757488251 0.468009054660797 0.585214674472809 0.193513423204422 0.0993318930268288 1.97260475158691
74 Serbia 73 5.39499998092651 5.49156965613365 5.29843030571938 1.06931757926941 1.25818979740143 0.65078467130661 0.208715528249741 0.220125883817673 0.0409037806093693 1.94708442687988
75 Jordan 74 5.33599996566772 5.44841002240777 5.22358990892768 0.991012394428253 1.23908889293671 0.604590058326721 0.418421149253845 0.172170460224152 0.11980327218771 1.79117655754089
76 Hungary 75 5.32399988174438 5.40303970918059 5.24496005430818 1.2860119342804 1.34313309192657 0.687763452529907 0.175863519310951 0.0784016624093056 0.0366369374096394 1.71645927429199
77 Jamaica 76 5.31099987030029 5.58139872848988 5.04060101211071 0.925579309463501 1.36821806430817 0.641022384166718 0.474307239055634 0.233818337321281 0.0552677810192108 1.61232566833496
78 Croatia 77 5.29300022125244 5.39177720457315 5.19422323793173 1.22255623340607 0.96798300743103 0.701288521289825 0.255772292613983 0.248002976179123 0.0431031100451946 1.85449242591858
79 Kosovo 78 5.27899980545044 5.36484799548984 5.19315161541104 0.951484382152557 1.13785350322723 0.541452050209045 0.260287940502167 0.319931447505951 0.0574716180562973 2.01054072380066
80 China 79 5.27299976348877 5.31927808977663 5.2267214372009 1.08116579055786 1.16083741188049 0.741415500640869 0.472787708044052 0.0288068410009146 0.0227942746132612 1.76493859291077
81 Pakistan 80 5.26900005340576 5.35998364135623 5.17801646545529 0.72688353061676 0.672690689563751 0.402047783136368 0.23521526157856 0.315446019172668 0.124348066747189 2.79248929023743
82 Indonesia 81 5.26200008392334 5.35288859814405 5.17111156970263 0.995538592338562 1.27444469928741 0.492345720529556 0.443323463201523 0.611704587936401 0.0153171354904771 1.42947697639465
83 Venezuela 82 5.25 5.3700319455564 5.1299680544436 1.12843120098114 1.43133759498596 0.617144227027893 0.153997123241425 0.0650196298956871 0.0644911229610443 1.78946375846863
84 Montenegro 83 5.23699998855591 5.34104444056749 5.13295553654432 1.12112903594971 1.23837649822235 0.667464673519135 0.194989055395126 0.197911024093628 0.0881741940975189 1.72919154167175
85 Morocco 84 5.2350001335144 5.31834096476436 5.15165930226445 0.878114581108093 0.774864435195923 0.59771066904068 0.408158332109451 0.0322099551558495 0.0877631828188896 2.45618939399719
86 Azerbaijan 85 5.23400020599365 5.29928653523326 5.16871387675405 1.15360176563263 1.15240025520325 0.540775775909424 0.398155838251114 0.0452693402767181 0.180987507104874 1.76248168945312
87 Dominican Republic 86 5.23000001907349 5.34906088516116 5.11093915298581 1.07937383651733 1.40241670608521 0.574873745441437 0.55258983373642 0.186967849731445 0.113945253193378 1.31946516036987
88 Greece 87 5.22700023651123 5.3252461694181 5.12875430360436 1.28948748111725 1.23941457271576 0.810198903083801 0.0957312509417534 0 0.04328977689147 1.74922156333923
89 Lebanon 88 5.22499990463257 5.31888228848577 5.13111752077937 1.07498753070831 1.12962424755096 0.735081076622009 0.288515985012054 0.264450758695602 0.037513829767704 1.69507384300232
90 Portugal 89 5.19500017166138 5.28504173308611 5.10495861023665 1.3151752948761 1.36704301834106 0.795843541622162 0.498465299606323 0.0951027125120163 0.0158694516867399 1.10768270492554
91 Bosnia and Herzegovina 90 5.18200016021729 5.27633568674326 5.08766463369131 0.982409417629242 1.0693359375 0.705186307430267 0.204403176903725 0.328867495059967 0 1.89217257499695
92 Honduras 91 5.18100023269653 5.30158279687166 5.0604176685214 0.730573117733002 1.14394497871399 0.582569479942322 0.348079860210419 0.236188873648643 0.0733454525470734 2.06581115722656
93 Macedonia 92 5.17500019073486 5.27217263966799 5.07782774180174 1.06457793712616 1.20789301395416 0.644948184490204 0.325905978679657 0.25376096367836 0.0602777935564518 1.6174693107605
94 Somalia 93 5.15100002288818 5.24248370990157 5.0595163358748 0.0226431842893362 0.721151351928711 0.113989137113094 0.602126955986023 0.291631311178207 0.282410323619843 3.11748456954956
95 Vietnam 94 5.07399988174438 5.14728076457977 5.000718998909 0.788547575473785 1.27749133110046 0.652168989181519 0.571055591106415 0.234968051314354 0.0876332372426987 1.46231865882874
96 Nigeria 95 5.07399988174438 5.20950013548136 4.93849962800741 0.783756256103516 1.21577048301697 0.0569157302379608 0.394952565431595 0.230947196483612 0.0261215660721064 2.36539053916931
97 Tajikistan 96 5.04099988937378 5.11142559587956 4.970574182868 0.524713635444641 1.27146327495575 0.529235124588013 0.471566706895828 0.248997643589973 0.146377146244049 1.84904932975769
98 Bhutan 97 5.01100015640259 5.07933456212282 4.94266575068235 0.885416388511658 1.34012651443481 0.495879292488098 0.501537680625916 0.474054545164108 0.173380389809608 1.14018440246582
99 Kyrgyzstan 98 5.00400018692017 5.08991990312934 4.91808047071099 0.596220076084137 1.39423859119415 0.553457796573639 0.454943388700485 0.42858037352562 0.0394391790032387 1.53672313690186
100 Nepal 99 4.96199989318848 5.06735607936978 4.85664370700717 0.479820191860199 1.17928326129913 0.504130780696869 0.440305948257446 0.394096165895462 0.0729755461215973 1.8912410736084
101 Mongolia 100 4.95499992370605 5.0216795091331 4.88832033827901 1.02723586559296 1.4930112361908 0.557783484458923 0.394143968820572 0.338464230298996 0.0329022891819477 1.11129236221313
102 South Africa 101 4.8289999961853 4.92943518772721 4.72856480464339 1.05469870567322 1.38478863239288 0.187080070376396 0.479246735572815 0.139362379908562 0.0725094974040985 1.51090860366821
103 Tunisia 102 4.80499982833862 4.88436700701714 4.72563264966011 1.00726580619812 0.868351459503174 0.613212049007416 0.289680689573288 0.0496933571994305 0.0867231488227844 1.89025115966797
104 Palestinian Territories 103 4.77500009536743 4.88184834256768 4.66815184816718 0.716249227523804 1.15564715862274 0.565666973590851 0.25471106171608 0.114173173904419 0.0892826020717621 1.8788902759552
105 Egypt 104 4.7350001335144 4.82513378962874 4.64486647740006 0.989701807498932 0.997471392154694 0.520187258720398 0.282110154628754 0.128631442785263 0.114381365478039 1.70216107368469
106 Bulgaria 105 4.71400022506714 4.80369470641017 4.62430574372411 1.1614590883255 1.43437945842743 0.708217680454254 0.289231717586517 0.113177694380283 0.0110515309497714 0.996139287948608
107 Sierra Leone 106 4.70900011062622 4.85064333498478 4.56735688626766 0.36842092871666 0.984136044979095 0.00556475389748812 0.318697690963745 0.293040901422501 0.0710951760411263 2.66845989227295
108 Cameroon 107 4.69500017166138 4.79654085725546 4.5934594860673 0.564305365085602 0.946018218994141 0.132892116904259 0.430388748645782 0.236298456788063 0.0513066314160824 2.3336455821991
109 Iran 108 4.69199991226196 4.79822470769286 4.58577511683106 1.15687310695648 0.711551249027252 0.639333188533783 0.249322608113289 0.387242913246155 0.048761073499918 1.49873495101929
110 Albania 109 4.64400005340576 4.75246400639415 4.53553610041738 0.996192753314972 0.803685247898102 0.731159746646881 0.381498634815216 0.201312944293022 0.0398642159998417 1.49044156074524
111 Bangladesh 110 4.60799980163574 4.68982165828347 4.52617794498801 0.586682975292206 0.735131740570068 0.533241033554077 0.478356659412384 0.172255352139473 0.123717859387398 1.97873616218567
112 Namibia 111 4.57399988174438 4.77035474091768 4.37764502257109 0.964434325695038 1.0984708070755 0.33861181139946 0.520303547382355 0.0771337449550629 0.0931469723582268 1.4818902015686
113 Kenya 112 4.55299997329712 4.65569159060717 4.45030835598707 0.560479462146759 1.06795072555542 0.309988349676132 0.452763766050339 0.444860309362411 0.0646413192152977 1.6519021987915
114 Mozambique 113 4.55000019073486 4.77410232633352 4.3258980551362 0.234305649995804 0.870701014995575 0.106654435396194 0.480791091918945 0.322228103876114 0.179436385631561 2.35565090179443
115 Myanmar 114 4.54500007629395 4.61473994642496 4.47526020616293 0.367110550403595 1.12323594093323 0.397522568702698 0.514492034912109 0.838075160980225 0.188816204667091 1.11529040336609
116 Senegal 115 4.53499984741211 4.6016037812829 4.46839591354132 0.479309022426605 1.17969191074371 0.409362852573395 0.377922266721725 0.183468893170357 0.115460447967052 1.78964614868164
117 Zambia 116 4.51399993896484 4.64410550147295 4.38389437645674 0.636406779289246 1.00318729877472 0.257835894823074 0.461603492498398 0.249580144882202 0.0782135501503944 1.82670545578003
118 Iraq 117 4.49700021743774 4.62259140968323 4.37140902519226 1.10271048545837 0.978613197803497 0.501180469989777 0.288555532693863 0.19963726401329 0.107215754687786 1.31890726089478
119 Gabon 118 4.46500015258789 4.5573617656529 4.37263853952289 1.1982102394104 1.1556202173233 0.356578588485718 0.312328577041626 0.0437853783369064 0.0760467872023582 1.32291626930237
120 Ethiopia 119 4.46000003814697 4.54272867664695 4.377271399647 0.339233845472336 0.86466920375824 0.353409707546234 0.408842742443085 0.312650740146637 0.165455713868141 2.01574373245239
121 Sri Lanka 120 4.44000005722046 4.55344719231129 4.32655292212963 1.00985014438629 1.25997638702393 0.625130832195282 0.561213254928589 0.490863561630249 0.0736539661884308 0.419389247894287
122 Armenia 121 4.37599992752075 4.46673461228609 4.28526524275541 0.900596737861633 1.00748372077942 0.637524425983429 0.198303267359734 0.0834880918264389 0.0266744215041399 1.5214991569519
123 India 122 4.31500005722046 4.37152201749384 4.25847809694707 0.792221248149872 0.754372596740723 0.455427616834641 0.469987004995346 0.231538489460945 0.0922268852591515 1.5191171169281
124 Mauritania 123 4.29199981689453 4.37716361626983 4.20683601751924 0.648457288742065 1.2720308303833 0.285349279642105 0.0960980430245399 0.201870024204254 0.136957004666328 1.65163731575012
125 Congo (Brazzaville) 124 4.29099988937378 4.41005350500345 4.17194627374411 0.808964252471924 0.832044363021851 0.28995743393898 0.435025870800018 0.120852127671242 0.0796181336045265 1.72413563728333
126 Georgia 125 4.28599977493286 4.37493396580219 4.19706558406353 0.950612664222717 0.57061493396759 0.649546980857849 0.309410035610199 0.0540088154375553 0.251666635274887 1.50013780593872
127 Congo (Kinshasa) 126 4.28000020980835 4.35781083270907 4.20218958690763 0.0921023488044739 1.22902345657349 0.191407024860382 0.235961347818375 0.246455833315849 0.0602413564920425 2.22495865821838
128 Mali 127 4.19000005722046 4.26967071101069 4.11032940343022 0.476180493831635 1.28147339820862 0.169365674257278 0.306613743305206 0.183354198932648 0.104970246553421 1.66819095611572
129 Ivory Coast 128 4.17999982833862 4.27518256321549 4.08481709346175 0.603048920631409 0.904780030250549 0.0486421696841717 0.447706192731857 0.201237469911575 0.130061775445938 1.84496426582336
130 Cambodia 129 4.16800022125244 4.27851781353354 4.05748262897134 0.601765096187592 1.00623834133148 0.429783403873444 0.633375823497772 0.385922968387604 0.0681059509515762 1.04294109344482
131 Sudan 130 4.13899993896484 4.34574716508389 3.9322527128458 0.65951669216156 1.21400856971741 0.290920823812485 0.0149958552792668 0.182317450642586 0.089847519993782 1.68706583976746
132 Ghana 131 4.11999988555908 4.22270720854402 4.01729256257415 0.667224824428558 0.873664736747742 0.295637726783752 0.423026293516159 0.256923943758011 0.0253363698720932 1.57786750793457
133 Ukraine 132 4.09600019454956 4.18541010454297 4.00659028455615 0.89465194940567 1.39453756809235 0.575903952121735 0.122974775731564 0.270061463117599 0.0230294708162546 0.814382314682007
134 Uganda 133 4.08099985122681 4.19579996705055 3.96619973540306 0.381430715322495 1.12982773780823 0.217632606625557 0.443185955286026 0.325766056776047 0.057069718837738 1.526362657547
135 Burkina Faso 134 4.03200006484985 4.12405906438828 3.93994106531143 0.3502277135849 1.04328000545502 0.215844258666039 0.324367851018906 0.250864684581757 0.120328105986118 1.72721290588379
136 Niger 135 4.02799987792969 4.11194681972265 3.94405293613672 0.161925330758095 0.993025004863739 0.26850500702858 0.36365869641304 0.228673845529556 0.138572946190834 1.87398338317871
137 Malawi 136 3.97000002861023 4.07747881740332 3.86252123981714 0.233442038297653 0.512568831443787 0.315089583396912 0.466914653778076 0.287170469760895 0.0727116540074348 2.08178615570068
138 Chad 137 3.93600010871887 4.0347115239501 3.83728869348764 0.438012987375259 0.953855872154236 0.0411347150802612 0.16234202682972 0.216113850474358 0.0535818822681904 2.07123804092407
139 Zimbabwe 138 3.875 3.97869964271784 3.77130035728216 0.375846534967422 1.08309590816498 0.196763753890991 0.336384207010269 0.189143493771553 0.0953753814101219 1.59797024726868
140 Lesotho 139 3.80800008773804 4.04434397548437 3.5716561999917 0.521021246910095 1.19009518623352 0 0.390661299228668 0.157497271895409 0.119094640016556 1.42983531951904
141 Angola 140 3.79500007629395 3.95164193540812 3.63835821717978 0.858428180217743 1.10441195964813 0.0498686656355858 0 0.097926490008831 0.0697203353047371 1.61448240280151
142 Afghanistan 141 3.79399991035461 3.87366141527891 3.71433840543032 0.401477217674255 0.581543326377869 0.180746778845787 0.106179520487785 0.311870932579041 0.0611578300595284 2.15080118179321
143 Botswana 142 3.76600003242493 3.87412266626954 3.65787739858031 1.12209415435791 1.22155499458313 0.341755509376526 0.505196332931519 0.0993484482169151 0.0985831990838051 0.3779137134552
144 Benin 143 3.65700006484985 3.74578355133533 3.56821657836437 0.431085407733917 0.435299843549728 0.209930211305618 0.425962775945663 0.207948461174965 0.0609290152788162 1.88563096523285
145 Madagascar 144 3.64400005340576 3.71431910589337 3.57368100091815 0.305808693170547 0.913020372390747 0.375223308801651 0.189196765422821 0.208732530474663 0.0672319754958153 1.58461260795593
146 Haiti 145 3.6029999256134 3.73471479773521 3.47128505349159 0.368610262870789 0.640449821949005 0.277321130037308 0.0303698573261499 0.489203780889511 0.0998721495270729 1.69716763496399
147 Yemen 146 3.59299993515015 3.69275031983852 3.49324955046177 0.591683447360992 0.93538224697113 0.310080915689468 0.249463722109795 0.104125209152699 0.0567674227058887 1.34560060501099
148 South Sudan 147 3.59100008010864 3.72553858578205 3.45646157443523 0.39724862575531 0.601323127746582 0.163486003875732 0.147062435746193 0.285670816898346 0.116793513298035 1.87956738471985
149 Liberia 148 3.53299999237061 3.65375626087189 3.41224372386932 0.119041793048382 0.872117936611176 0.229918196797371 0.332881182432175 0.26654988527298 0.0389482490718365 1.67328596115112
150 Guinea 149 3.50699996948242 3.58442812889814 3.4295718100667 0.244549930095673 0.791244685649872 0.194129139184952 0.348587512969971 0.264815092086792 0.110937617719173 1.55231189727783
151 Togo 150 3.49499988555908 3.59403811171651 3.39596165940166 0.305444717407227 0.431882530450821 0.247105568647385 0.38042613863945 0.196896150708199 0.0956650152802467 1.83722925186157
152 Rwanda 151 3.47099995613098 3.54303023353219 3.39896967872977 0.368745893239975 0.945707023143768 0.326424807310104 0.581843852996826 0.252756029367447 0.455220013856888 0.540061235427856
153 Syria 152 3.46199989318848 3.66366855680943 3.26033122956753 0.777153134346008 0.396102607250214 0.50053334236145 0.0815394446253777 0.493663728237152 0.151347130537033 1.06157350540161
154 Tanzania 153 3.34899997711182 3.46142975538969 3.23657019883394 0.511135876178741 1.04198980331421 0.364509284496307 0.390017777681351 0.354256361722946 0.0660351067781448 0.621130466461182
155 Burundi 154 2.90499997138977 3.07469033300877 2.73530960977077 0.091622568666935 0.629793584346771 0.151610791683197 0.0599007532000542 0.204435184597969 0.0841479450464249 1.68302416801453
156 Central African Republic 155 2.69300007820129 2.86488426923752 2.52111588716507 0 0 0.0187726859003305 0.270842045545578 0.280876487493515 0.0565650761127472 2.06600475311279

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机器学习算法理论及应用/第二章——手写线性回归算法/util/__init__.py
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机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_polynomials.py
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"""Add polynomial features to the features set"""
import numpy as np
from .normalize import normalize
def generate_polynomials(dataset, polynomial_degree, normalize_data = False):
"""变换方法：
x1, x2, x1^2, x2^2, x1*x2, x1*x2^2, etc.
"""
features_split = np.array_split(dataset, 2, axis=1)
dataset_1 = features_split[0]
dataset_2 = features_split[1]
(num_examples_1, num_features_1) = dataset_1.shape
(num_examples_2, num_features_2) = dataset_2.shape
if num_examples_1 != num_examples_2:
raise ValueError('Can not generate polynomials for two sets with different number of rows')
if num_features_1 == 0 and num_features_2 == 0:
raise ValueError('Can not generate polynomials for two sets with no columns')
if num_features_1 == 0:
dataset_1 = dataset_2
elif num_features_2 == 0:
dataset_2 = dataset_1
num_features = num_features_1 if num_features_1 < num_examples_2 else num_features_2
dataset_1 = dataset_1[:, :num_features]
dataset_2 = dataset_2[:, :num_features]
polynomials = np.empty((num_examples_1, 0))
for i in range(1, polynomial_degree + 1):
for j in range(i + 1):
polynomial_feature = (dataset_1 ** (i - j)) * (dataset_2 ** j)
polynomials = np.concatenate((polynomials, polynomial_feature), axis=1)
if normalize_data:
polynomials = normalize(polynomials)[0]
return polynomials

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机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_sinusoids.py
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import numpy as np
def generate_sinusoids(dataset, sinusoid_degree):
"""
sin(x).
"""
num_examples = dataset.shape[0]
sinusoids = np.empty((num_examples, 0))
for degree in range(1, sinusoid_degree+1):
sinusoid_features = np.sin(degree * dataset)
sinusoids = np.concatenate((sinusoids, sinusoid_features), axis=1)
return sinusoids

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机器学习算法理论及应用/第二章——手写线性回归算法/util/features/normalize.py
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"""Normalize features"""
"""数据标准化"""
import numpy as np
def normalize(features):
features_normalized = np.copy(features).astype(float)
# 计算均值
features_mean = np.mean(features, 0)
# 计算标准差
features_deviation = np.std(features, 0)
# 标准化操作
if features.shape[0] > 1:
features_normalized -= features_mean
# 防止除以0
features_deviation[features_deviation == 0] = 1
features_normalized /= features_deviation
return features_normalized, features_mean, features_deviation

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机器学习算法理论及应用/第二章——手写线性回归算法/util/features/prepare_for_training.py
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"""Prepares the dataset for training"""
import numpy as np
from .normalize import normalize
from .generate_polynomials import generate_polynomials
from .generate_sinusoids import generate_sinusoids
def prepare_for_training(data, polynomial_degree=0, sinusoid_degree=0, normalize_data=True):
# 计算样本总数
num_examples = data.shape[0]
data_processed = np.copy(data)
# 预处理
features_mean = 0
features_deviation = 0
data_normalized = data_processed
if normalize_data:
(
data_normalized,
features_mean,
features_deviation
) = normalize(data_processed)
data_processed = data_normalized
# 特征变换sinusoidal
if sinusoid_degree > 0:
sinusoids = generate_sinusoids(data_normalized, sinusoid_degree)
data_processed = np.concatenate((data_processed, sinusoids), axis=1)
# 特征变换polynomial
if polynomial_degree > 0:
polynomials = generate_polynomials(data_normalized, polynomial_degree)
data_processed = np.concatenate((data_processed, polynomials), axis=1)
# 加一列1
data_processed = np.hstack((np.ones((num_examples, 1)), data_processed))
return data_processed, features_mean, features_deviation

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机器学习算法理论及应用/第二章——手写线性回归算法/util/hopythesis/__init__.py
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