4753934 1 Jan van Rijn 14 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) 2789499 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 3.5043366040255077 6953 cache_size 200 6953 class_weight null 6953 coef0 0.4818017231375846 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.011412894468400133 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 13176 6953 shrinking true 6953 tol 0.045246923591103834 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 10442081 description https://api.openml.org/data/download/10442081/description.xml -1 10442080 predictions https://api.openml.org/data/download/10442080/predictions.arff area_under_roc_curve 0.9688302777777777 [1,0.940553,0.988883,0.992986,0.936742,0.992086,0.940336,0.979108,0.991381,0.926228] average_cost 0 f_measure 0.7595185412374221 [0.994975,0.723514,0.910448,0.857143,0.747312,0.882927,0.600362,0.779817,0.946078,0.15261] kappa 0.7522222222222222 kb_relative_information_score 1477.517823333401 mean_absolute_error 0.07411658668917158 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.772277354232742 [1,0.748663,0.905941,0.891892,0.80814,0.861905,0.470255,0.720339,0.927885,0.387755] predictive_accuracy 0.777 prior_entropy 3.321928094887362 recall 0.777 [0.99,0.7,0.915,0.825,0.695,0.905,0.83,0.85,0.965,0.095] relative_absolute_error 0.4117588149398294 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17723171480848562 root_relative_squared_error 0.5907723826949431 total_cost 0 area_under_roc_curve 0.9709722222222222 [1,0.943056,0.992222,0.995833,0.934722,0.999722,0.924444,0.972222,0.999722,0.947778] area_under_roc_curve 0.9661666666666667 [1,0.944444,0.983889,0.995,0.897778,0.991944,0.95,0.975278,0.987778,0.935556] area_under_roc_curve 0.96825 [1,0.949167,0.991389,0.979444,0.958611,0.991944,0.915278,0.973611,1,0.923056] area_under_roc_curve 0.9695555555555555 [1,0.916944,0.996944,0.998889,0.974444,0.993889,0.946389,0.968611,0.974444,0.925] area_under_roc_curve 0.9656388888888889 [1,0.895556,0.983056,0.989722,0.938611,0.9925,0.938889,0.978889,1,0.939167] area_under_roc_curve 0.9746944444444443 [1,0.943056,0.998056,0.991944,0.949722,0.992222,0.9575,0.985556,0.999444,0.929444] area_under_roc_curve 0.9725833333333334 [1,0.950556,0.993889,0.994444,0.938611,0.983333,0.969722,0.986389,1,0.908889] area_under_roc_curve 0.9709444444444446 [1,0.956389,0.991111,0.996389,0.908611,0.994722,0.926667,0.988333,0.998889,0.948333] area_under_roc_curve 0.9682222222222223 [1,0.920556,1,0.998333,0.951111,0.983056,0.940833,0.986111,1,0.902222] area_under_roc_curve 0.9625000000000001 [1,0.985556,0.96,0.992778,0.910556,0.999444,0.934167,0.981111,0.961389,0.9] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.751224048760634 [0.974359,0.761905,0.809524,0.833333,0.820513,0.95,0.518519,0.731707,0.952381,0.16] f_measure 0.7487050404576369 [1,0.769231,0.926829,0.864865,0.648649,0.837209,0.655172,0.744186,0.95,0.090909] f_measure 0.7561218073107198 [1,0.682927,0.894737,0.75,0.829268,0.878049,0.615385,0.744186,1,0.166667] f_measure 0.7456870398847292 [0.974359,0.648649,0.947368,0.926829,0.731707,0.820513,0.618182,0.714286,0.926829,0.148148] f_measure 0.7668586607240218 [1,0.648649,0.95,0.85,0.736842,0.883721,0.56,0.790698,0.952381,0.296296] f_measure 0.7736005687602594 [1,0.756757,0.926829,0.823529,0.75,0.904762,0.654545,0.826087,0.926829,0.166667] f_measure 0.7787455840487877 [1,0.702703,0.947368,0.857143,0.727273,0.857143,0.690909,0.791667,0.952381,0.26087] f_measure 0.7645108230435546 [1,0.756757,0.97561,0.923077,0.6875,0.904762,0.491228,0.837209,1,0.068966] f_measure 0.7496669996669998 [1,0.75,0.809524,0.888889,0.777778,0.923077,0.581818,0.772727,0.85,0.142857] kappa 0.7388888888888889 kappa 0.75 kappa 0.75 kappa 0.7333333333333334 kappa 0.7555555555555555 kappa 0.7722222222222223 kappa 0.7777777777777778 kappa 0.7611111111111112 kappa 0.75 kappa 0.7333333333333334 kb_relative_information_score 147.60173810829286 kb_relative_information_score 146.91675324630347 kb_relative_information_score 145.53684115977524 kb_relative_information_score 145.45659174649953 kb_relative_information_score 147.27574433272542 kb_relative_information_score 150.66071582632196 kb_relative_information_score 150.43068962155246 kb_relative_information_score 149.06123385917752 kb_relative_information_score 150.84300356287778 kb_relative_information_score 143.73451186987438 mean_absolute_error 0.07596150477466403 mean_absolute_error 0.07446750123566137 mean_absolute_error 0.0755351295877114 mean_absolute_error 0.07599882836641264 mean_absolute_error 0.07324499384159162 mean_absolute_error 0.07119339409125457 mean_absolute_error 0.07174297441759053 mean_absolute_error 0.07436018135830386 mean_absolute_error 0.07145468292235232 mean_absolute_error 0.07720667629617277 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7664746592416871 [1,0.727273,0.772727,0.9375,0.842105,0.95,0.411765,0.714286,0.909091,0.4] precision 0.7769555282067061 [1,0.789474,0.904762,0.941176,0.705882,0.782609,0.5,0.695652,0.95,0.5] precision 0.7723429951690821 [1,0.666667,0.944444,0.75,0.809524,0.857143,0.5,0.695652,1,0.5] precision 0.7525043893155349 [1,0.705882,1,0.904762,0.714286,0.842105,0.485714,0.681818,0.904762,0.285714] precision 0.7796063669209449 [1,0.705882,0.95,0.85,0.777778,0.826087,0.466667,0.73913,0.909091,0.571429] precision 0.7991744529979825 [1,0.823529,0.904762,1,0.75,0.863636,0.514286,0.730769,0.904762,0.5] precision 0.8454665922312983 [1,0.764706,1,0.818182,0.923077,0.818182,0.542857,0.678571,0.909091,1] precision 0.7775680000642984 [1,0.823529,0.952381,0.947368,0.916667,0.863636,0.378378,0.782609,1,0.111111] precision 0.7610571884256094 [1,0.75,0.772727,1,0.875,0.947368,0.457143,0.708333,0.85,0.25] predictive_accuracy 0.765 predictive_accuracy 0.775 predictive_accuracy 0.775 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.795 predictive_accuracy 0.8 predictive_accuracy 0.785 predictive_accuracy 0.775 predictive_accuracy 0.76 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.765 [0.95,0.8,0.85,0.75,0.8,0.95,0.7,0.75,1,0.1] recall 0.775 [1,0.75,0.95,0.8,0.6,0.9,0.95,0.8,0.95,0.05] recall 0.775 [1,0.7,0.85,0.75,0.85,0.9,0.8,0.8,1,0.1] recall 0.76 [0.95,0.6,0.9,0.95,0.75,0.8,0.85,0.75,0.95,0.1] recall 0.78 [1,0.6,0.95,0.85,0.7,0.95,0.7,0.85,1,0.2] recall 0.795 [1,0.7,0.95,0.7,0.75,0.95,0.9,0.95,0.95,0.1] recall 0.8 [1,0.65,0.9,0.9,0.6,0.9,0.95,0.95,1,0.15] recall 0.785 [1,0.75,0.95,0.85,0.65,0.85,0.95,0.9,0.95,0] recall 0.775 [1,0.7,1,0.9,0.55,0.95,0.7,0.9,1,0.05] recall 0.76 [1,0.75,0.85,0.8,0.7,0.9,0.8,0.85,0.85,0.1] relative_absolute_error 0.42200835985924506 relative_absolute_error 0.41370834019811914 relative_absolute_error 0.4196396088206194 relative_absolute_error 0.4222157131467374 relative_absolute_error 0.40691663245328724 relative_absolute_error 0.39551885606252574 relative_absolute_error 0.39857208009772566 relative_absolute_error 0.4131121186572441 relative_absolute_error 0.39697046067973557 relative_absolute_error 0.42892597942318256 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.17657007091645632 root_mean_squared_error 0.18129753824323092 root_mean_squared_error 0.17910609830657973 root_mean_squared_error 0.17968503676270828 root_mean_squared_error 0.18005379232653057 root_mean_squared_error 0.17218642725234562 root_mean_squared_error 0.17191232966274023 root_mean_squared_error 0.1753183890666064 root_mean_squared_error 0.17195433877155983 root_mean_squared_error 0.18377458479780495 root_relative_squared_error 0.5885669030548547 root_relative_squared_error 0.6043251274774368 root_relative_squared_error 0.5970203276885995 root_relative_squared_error 0.5989501225423612 root_relative_squared_error 0.6001793077551022 root_relative_squared_error 0.5739547575078191 root_relative_squared_error 0.573041098875801 root_relative_squared_error 0.5843946302220218 root_relative_squared_error 0.573181129238533 root_relative_squared_error 0.6125819493260168 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 15190.91077300004 usercpu_time_millis 15316.219003000015 usercpu_time_millis 15397.08430199994 usercpu_time_millis 15285.803334999855 usercpu_time_millis 15355.351104999954 usercpu_time_millis 14187.77666699998 usercpu_time_millis 11988.22300400002 usercpu_time_millis 12253.248497000186 usercpu_time_millis 15484.165364999853 usercpu_time_millis 15627.660805000232 usercpu_time_millis_testing 179.84776900004817 usercpu_time_millis_testing 189.18989600001623 usercpu_time_millis_testing 191.55689300009726 usercpu_time_millis_testing 188.85606599997118 usercpu_time_millis_testing 191.59840299994357 usercpu_time_millis_testing 149.5761589999347 usercpu_time_millis_testing 158.4459059999972 usercpu_time_millis_testing 184.91928700018434 usercpu_time_millis_testing 182.863019000024 usercpu_time_millis_testing 188.87598400010575 usercpu_time_millis_training 15011.063003999992 usercpu_time_millis_training 15127.029106999998 usercpu_time_millis_training 15205.527408999842 usercpu_time_millis_training 15096.947268999884 usercpu_time_millis_training 15163.75270200001 usercpu_time_millis_training 14038.200508000045 usercpu_time_millis_training 11829.777098000022 usercpu_time_millis_training 12068.329210000002 usercpu_time_millis_training 15301.30234599983 usercpu_time_millis_training 15438.784821000127