6001037 1 Jan van Rijn 9954 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4035769 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 C 4.09752034654151 6953 cache_size 200 6953 class_weight null 6953 coef0 0.37939664398070594 6953 decision_function_shape null 6953 degree 3 6953 gamma 9.343172516302405e-05 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 16218 6953 shrinking true 6953 tol 0.0007825681544895776 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12925191 description https://api.openml.org/data/download/12925191/description.xml -1 12925192 predictions https://api.openml.org/data/download/12925192/predictions.arff area_under_roc_curve 0.4633345170454547 [0.499014,0.428307,0.428385,0.426531,0.457071,0.456282,0.348485,0.41351,0.411735,0.400963,0.480666,0.479206,0.484059,0.49349,0.481416,0.511166,0.458531,0.471828,0.446496,0.498224,0.484691,0.486427,0.492306,0.478338,0.484493,0.440538,0.472696,0.439986,0.47964,0.479127,0.447483,0.476128,0.497554,0.478535,0.481495,0.476286,0.485717,0.492266,0.476562,0.47601,0.500118,0.477352,0.426215,0.438565,0.429017,0.480035,0.45131,0.484414,0.478851,0.479759,0.489938,0.434896,0.470644,0.426965,0.419231,0.485361,0.475852,0.477588,0.482718,0.485993,0.477983,0.493411,0.477904,0.4302,0.428385,0.482994,0.502249,0.476286,0.483231,0.494042,0.500671,0.476405,0.493016,0.467606,0.489268,0.480193,0.477904,0.505169,0.477667,0.483152,0.450324,0.45565,0.454822,0.456913,0.470999,0.439473,0.428149,0.447483,0.488202,0.491241,0.446575,0.426847,0.427991,0.457347,0.439591,0.442945,0.44184,0.347104,0.463384,0.362374] average_cost 0 kappa -0.00441919191919192 kb_relative_information_score 3.2048282055144326 mean_absolute_error 0.019799087220008508 mean_prior_absolute_error 0.019800000000000036 number_of_instances 1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] predictive_accuracy 0.005625 prior_entropy 6.6438561897747395 recall 0.005625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0.5] relative_absolute_error 0.9999539000004279 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09949432991274948 root_relative_squared_error 0.9999556396618893 total_cost 0 area_under_roc_curve 0.04857968115595895 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[0.253165,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.069182,0.037736,0.031447,0.183544,0.03481,0.098101,0.08805,0.148734,0.031646,0.085443,0.009494,0.003165,0.066456,0.047468,0.189873,0.075472,0.006289,0.018987,0.037736,0,0.091772,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.120253,0.012658,0,0.025157,0.006289,0.132075,0,0.056962,0.018987,0.012658,0.018868,0.012579,0.047468,0.056604,0.050633,0.047468,0,0.003165,0.031646,0.012579,0.018987,0.085443,0.012579,0.006289,0,0.050633,0.138365,0,0.015823,0.063291,0.123418,0.006329,0.08805,0.037736,0.053797,0.044025,0.012658,0.243671,0.003165,0.069182,0.056604,0,0,0.041139,0.113208,0.012579,0,0.006289,0.060127,0.056962,0.050314,0.006329,0.012579,0.044025,0.03481,0.018868,0.129747,0.012579,0.188679,0.132911] area_under_roc_curve 0.04726857933285568 [0.098101,0.031447,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.006289,0.006289,0.056962,0.012579,0,0.234177,0.044025,0.106918,0.044304,0.142405,0.022152,0.025316,0.03481,0.018987,0.022152,0.144654,0.075472,0.107595,0,0,0.088608,0.006289,0.113208,0.031447,0.022152,0,0.044304,0.075949,0.003165,0,0.177215,0.012658,0,0.012658,0.075472,0.082278,0.009494,0.079114,0.018868,0.012579,0.100629,0.015823,0.041139,0.125786,0.056962,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.139241,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.03481,0.125786,0,0.075949,0.069182,0.044304,0.006289,0,0.257862,0.025157,0.025157,0.136076,0.018868,0.009494,0.012658,0.063291,0.012658,0,0.062893,0.044025,0.075949,0.037736,0,0.012658,0.138365,0.044025,0.018987,0.132911,0.050314,0.158228,0.072785] area_under_roc_curve 0.044777734654884174 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[0.075472,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.015823,0.060127,0.018987,0.176101,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.08805,0.015823,0.047468,0.018868,0.125786,0.012658,0,0.012579,0.056962,0,0.075472,0.012579,0.009494,0,0.047468,0.041139,0.006329,0,0.188679,0,0,0.028481,0.012658,0.256329,0,0.031646,0.025157,0.018868,0.085443,0.015823,0.015823,0.139241,0.044304,0.125786,0,0.025157,0.012658,0.025316,0.009494,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.132075,0.056604,0.006289,0.158228,0.022152,0.037975,0.047468,0,0.100629,0.018868,0.047468,0.098101,0.037736,0.006289,0.018868,0.03481,0.009494,0,0.031646,0.062893,0.088608,0.072785,0.006329,0.006329,0.091772,0.025157,0.085443,0.106918,0.006329,0.148734,0.08805] area_under_roc_curve 0.04153978584507603 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kappa 0 kappa -0.006329113924050633 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kb_relative_information_score 0.3554421536851426 kb_relative_information_score 0.3554440672796661 kb_relative_information_score 0.30290462662283185 kb_relative_information_score 0.3029248377451597 kb_relative_information_score 0.2674771406268085 kb_relative_information_score 0.26750544182598285 kb_relative_information_score 0.323048574036364 kb_relative_information_score 0.323053804598656 kb_relative_information_score 0.3535047137875963 kb_relative_information_score 0.35352284530622524 mean_absolute_error 0.01979897855737934 mean_absolute_error 0.019798978371967084 mean_absolute_error 0.01979915241372186 mean_absolute_error 0.019799152283180178 mean_absolute_error 0.019799246401874138 mean_absolute_error 0.0197992462424067 mean_absolute_error 0.019799073362732927 mean_absolute_error 0.01979907321073129 mean_absolute_error 0.01979898563481562 mean_absolute_error 0.019798985721276315 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.00625 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9999484119888539 relative_absolute_error 0.9999484026245986 relative_absolute_error 0.9999571926122134 relative_absolute_error 0.9999571860191991 relative_absolute_error 0.9999619394885911 relative_absolute_error 0.99996193143468 relative_absolute_error 0.999953200138025 relative_absolute_error 0.9999531924611746 relative_absolute_error 0.9999487694351307 relative_absolute_error 0.9999487738018324 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_squared_error 0.09949380878241218 root_mean_squared_error 0.09949380784030133 root_mean_squared_error 0.09949463847986618 root_mean_squared_error 0.09949463782446907 root_mean_squared_error 0.09949509350546579 root_mean_squared_error 0.0994950927012114 root_mean_squared_error 0.09949426442311589 root_mean_squared_error 0.09949426365401773 root_mean_squared_error 0.09949384573255701 root_mean_squared_error 0.09949384617213589 root_relative_squared_error 0.9999504021049329 root_relative_squared_error 0.9999503926363625 root_relative_squared_error 0.999958740878098 root_relative_squared_error 0.999958734291109 root_relative_squared_error 0.999963314057443 root_relative_squared_error 0.9999633059743823 root_relative_squared_error 0.9999549814663068 root_relative_squared_error 0.9999549737365796 root_relative_squared_error 0.9999507734678612 root_relative_squared_error 0.9999507778857951 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 3103.073263000624 usercpu_time_millis 2938.8722769990636 usercpu_time_millis 2866.5525500000513 usercpu_time_millis 2695.2488859997175 usercpu_time_millis 2607.9795349996857 usercpu_time_millis 2600.246321000668 usercpu_time_millis 2607.8982039998664 usercpu_time_millis 2611.422543000117 usercpu_time_millis 2589.6395740001026 usercpu_time_millis 2590.60861999842 usercpu_time_millis_testing 176.31976900065638 usercpu_time_millis_testing 166.6488989994832 usercpu_time_millis_testing 164.88258600020345 usercpu_time_millis_testing 178.0727380000826 usercpu_time_millis_testing 149.99735499986855 usercpu_time_millis_testing 148.48470900051325 usercpu_time_millis_testing 149.98611999999412 usercpu_time_millis_testing 150.14241399967432 usercpu_time_millis_testing 156.17874800045684 usercpu_time_millis_testing 155.5879889992866 usercpu_time_millis_training 2926.7534939999678 usercpu_time_millis_training 2772.2233779995804 usercpu_time_millis_training 2701.669963999848 usercpu_time_millis_training 2517.176147999635 usercpu_time_millis_training 2457.982179999817 usercpu_time_millis_training 2451.761612000155 usercpu_time_millis_training 2457.9120839998723 usercpu_time_millis_training 2461.2801290004427 usercpu_time_millis_training 2433.4608259996457 usercpu_time_millis_training 2435.0206309991336