8809273 1 Jan van Rijn 14 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6784354 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "mean" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 95.85182062572703 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.6345061810872974 7708 decision_function_shape null 7708 degree 5 7708 gamma 0.00262075480471338 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 7190 7708 shrinking false 7708 tol 0.012277094121133402 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18534497 description https://api.openml.org/data/download/18534497/description.xml -1 18534498 predictions https://api.openml.org/data/download/18534498/predictions.arff area_under_roc_curve 0.9135538888888889 [0.992822,0.850336,0.960483,0.914436,0.862358,0.919531,0.866136,0.964872,0.945975,0.858589] average_cost 0 f_measure 0.5985448277260811 [0.923885,0.34375,0.655113,0.64497,0.670487,0.766304,0.36,0.767327,0.496644,0.356968] kappa 0.5483333333333333 kb_relative_information_score 871.0604469389551 mean_absolute_error 0.13363843835022732 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6555563768009123 [0.972376,0.263298,0.501326,0.789855,0.785235,0.839286,0.54,0.759804,0.755102,0.349282] predictive_accuracy 0.5935 prior_entropy 3.321928094887362 recall 0.5935 [0.88,0.495,0.945,0.545,0.585,0.705,0.27,0.775,0.37,0.365] relative_absolute_error 0.7424357686123512 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.24624747865322869 root_relative_squared_error 0.820824928844083 total_cost 0 area_under_roc_curve 0.9141666666666666 [0.988056,0.801389,0.971944,0.895833,0.904444,0.979167,0.820833,0.949722,0.953056,0.877222] area_under_roc_curve 0.9186666666666666 [0.995833,0.851667,0.945,0.960833,0.859722,0.927778,0.806389,0.964722,0.937222,0.9375] area_under_roc_curve 0.9030555555555556 [0.996944,0.830556,0.988333,0.897778,0.8475,0.891944,0.898333,0.923056,0.971667,0.784444] area_under_roc_curve 0.9322777777777778 [0.992222,0.891389,0.9975,0.926667,0.920833,0.945556,0.857778,0.963056,0.9125,0.915278] area_under_roc_curve 0.9161111111111111 [0.998333,0.8625,0.952222,0.870833,0.839167,0.9,0.880278,0.990833,0.964167,0.902778] area_under_roc_curve 0.9190555555555555 [1,0.876944,0.993611,0.895833,0.888889,0.935278,0.846389,0.976389,0.975,0.802222] area_under_roc_curve 0.901722222222222 [0.978333,0.833333,0.932778,0.935,0.861111,0.826944,0.93,0.990278,0.954722,0.774722] area_under_roc_curve 0.9231944444444443 [0.988333,0.848611,0.974722,0.956389,0.800278,0.959167,0.904722,0.971111,0.938333,0.890278] area_under_roc_curve 0.9235555555555554 [0.992222,0.848889,0.946111,0.9125,0.910278,0.916944,0.916111,0.973056,0.969167,0.850278] area_under_roc_curve 0.89875 [1,0.867778,0.923333,0.908611,0.795556,0.938056,0.848889,0.961389,0.876944,0.866944] 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 0.5736428795180669 [0.864865,0.321429,0.57971,0.6875,0.756757,0.871795,0.206897,0.571429,0.551724,0.324324] f_measure 0.5619655602888487 [0.888889,0.25,0.590164,0.6875,0.647059,0.742857,0.333333,0.761905,0.333333,0.384615] f_measure 0.5936417339897734 [0.857143,0.295082,0.612903,0.588235,0.631579,0.777778,0.516129,0.666667,0.580645,0.410256] f_measure 0.6702647055061213 [0.894737,0.482759,0.769231,0.702703,0.8,0.810811,0.4,0.780488,0.588235,0.473684] f_measure 0.6210137854201201 [0.97561,0.382353,0.745098,0.428571,0.580645,0.742857,0.387097,0.883721,0.645161,0.439024] f_measure 0.5658142026802726 [0.97561,0.45283,0.689655,0.666667,0.615385,0.769231,0.285714,0.772727,0.173913,0.25641] f_measure 0.585928115895329 [0.864865,0.262295,0.72,0.666667,0.628571,0.514286,0.466667,0.904762,0.545455,0.285714] f_measure 0.6193076508033938 [0.974359,0.315789,0.59375,0.647059,0.5625,0.777778,0.545455,0.702703,0.6,0.473684] f_measure 0.607025251599731 [0.947368,0.4,0.745098,0.666667,0.75,0.756757,0.16,0.829268,0.4,0.415094] f_measure 0.5550626356448022 [0.974359,0.259259,0.576271,0.666667,0.722222,0.871795,0.242424,0.73913,0.444444,0.054054] kappa 0.5222222222222221 kappa 0.5055555555555556 kappa 0.5277777777777778 kappa 0.6333333333333334 kappa 0.5777777777777778 kappa 0.5499999999999999 kappa 0.5333333333333333 kappa 0.5611111111111111 kappa 0.5666666666666667 kappa 0.5055555555555556 kb_relative_information_score 85.57644791346371 kb_relative_information_score 89.12577971538477 kb_relative_information_score 79.4595986924089 kb_relative_information_score 96.02790392421021 kb_relative_information_score 86.83426839115782 kb_relative_information_score 88.32544309203 kb_relative_information_score 83.84900371566164 kb_relative_information_score 86.57763165365598 kb_relative_information_score 85.75788572594989 kb_relative_information_score 89.52648411503067 mean_absolute_error 0.13434947439224454 mean_absolute_error 0.13296474226968133 mean_absolute_error 0.14112454865519802 mean_absolute_error 0.12603587926407026 mean_absolute_error 0.13367146435996508 mean_absolute_error 0.13288041423927294 mean_absolute_error 0.136620026516424 mean_absolute_error 0.1340878236946749 mean_absolute_error 0.1348895752065453 mean_absolute_error 0.12976043490419875 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 0.6476102721790471 [0.941176,0.25,0.408163,0.916667,0.823529,0.894737,0.333333,0.666667,0.888889,0.352941] precision 0.6262130450849963 [1,0.214286,0.439024,0.916667,0.785714,0.866667,0.5,0.727273,0.5,0.3125] precision 0.6740506551642623 [1,0.219512,0.452381,0.714286,0.666667,0.875,0.727273,0.846154,0.818182,0.421053] precision 0.7094448130129244 [0.944444,0.368421,0.625,0.764706,0.933333,0.882353,0.6,0.761905,0.714286,0.5] precision 0.6980169836007845 [0.952381,0.270833,0.612903,0.75,0.818182,0.866667,0.545455,0.826087,0.909091,0.428571] precision 0.615154363180679 [0.952381,0.363636,0.526316,0.75,0.631579,0.789474,0.5,0.708333,0.666667,0.263158] precision 0.6295272780782107 [0.941176,0.195122,0.6,0.636364,0.733333,0.6,0.7,0.863636,0.692308,0.333333] precision 0.6942789285436345 [1,0.243243,0.431818,0.785714,0.75,0.875,0.692308,0.764706,0.9,0.5] precision 0.6725443626582147 [1,0.3,0.612903,0.846154,1,0.823529,0.4,0.809524,0.6,0.333333] precision 0.6226521479036959 [1,0.205882,0.435897,1,0.8125,0.894737,0.307692,0.653846,0.857143,0.058824] predictive_accuracy 0.57 predictive_accuracy 0.555 predictive_accuracy 0.575 predictive_accuracy 0.67 predictive_accuracy 0.62 predictive_accuracy 0.595 predictive_accuracy 0.58 predictive_accuracy 0.605 predictive_accuracy 0.61 predictive_accuracy 0.555 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 0.57 [0.8,0.45,1,0.55,0.7,0.85,0.15,0.5,0.4,0.3] recall 0.555 [0.8,0.3,0.9,0.55,0.55,0.65,0.25,0.8,0.25,0.5] recall 0.575 [0.75,0.45,0.95,0.5,0.6,0.7,0.4,0.55,0.45,0.4] recall 0.67 [0.85,0.7,1,0.65,0.7,0.75,0.3,0.8,0.5,0.45] recall 0.62 [1,0.65,0.95,0.3,0.45,0.65,0.3,0.95,0.5,0.45] recall 0.595 [1,0.6,1,0.6,0.6,0.75,0.2,0.85,0.1,0.25] recall 0.58 [0.8,0.4,0.9,0.7,0.55,0.45,0.35,0.95,0.45,0.25] recall 0.605 [0.95,0.45,0.95,0.55,0.45,0.7,0.45,0.65,0.45,0.45] recall 0.61 [0.9,0.6,0.95,0.55,0.6,0.7,0.1,0.85,0.3,0.55] recall 0.555 [0.95,0.35,0.85,0.5,0.65,0.85,0.2,0.85,0.3,0.05] relative_absolute_error 0.7463859688458038 relative_absolute_error 0.7386930126093415 relative_absolute_error 0.7840252703066567 relative_absolute_error 0.7001993292448355 relative_absolute_error 0.7426192464442513 relative_absolute_error 0.7382245235515171 relative_absolute_error 0.7590001473134674 relative_absolute_error 0.7449323538593059 relative_absolute_error 0.7493865289252524 relative_absolute_error 0.7208913050233272 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 0.24618176915218987 root_mean_squared_error 0.24451520691139603 root_mean_squared_error 0.2539219423494607 root_mean_squared_error 0.2374601875039956 root_mean_squared_error 0.24595005955454902 root_mean_squared_error 0.24558846423244743 root_mean_squared_error 0.2503745754334686 root_mean_squared_error 0.24565935317791637 root_mean_squared_error 0.24503057543800508 root_mean_squared_error 0.24746779551134124 root_relative_squared_error 0.8206058971739667 root_relative_squared_error 0.8150506897046539 root_relative_squared_error 0.8464064744982028 root_relative_squared_error 0.7915339583466525 root_relative_squared_error 0.8198335318484972 root_relative_squared_error 0.8186282141081586 root_relative_squared_error 0.8345819181115623 root_relative_squared_error 0.8188645105930551 root_relative_squared_error 0.8167685847933508 root_relative_squared_error 0.8248926517044712 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 3446.2692519991833 usercpu_time_millis 3346.1857799957215 usercpu_time_millis 3383.1486380004208 usercpu_time_millis 3254.206030000205 usercpu_time_millis 3332.878974000778 usercpu_time_millis 3236.194727000111 usercpu_time_millis 3291.5469219988154 usercpu_time_millis 3261.973226999544 usercpu_time_millis 3250.353373998223 usercpu_time_millis 3238.3429140027147 usercpu_time_millis_testing 50.62416799773928 usercpu_time_millis_testing 46.55099499723292 usercpu_time_millis_testing 46.68357600166928 usercpu_time_millis_testing 46.629422999103554 usercpu_time_millis_testing 46.63830500066979 usercpu_time_millis_testing 46.43458200007444 usercpu_time_millis_testing 47.84871599986218 usercpu_time_millis_testing 47.19883399957325 usercpu_time_millis_testing 46.73837899827049 usercpu_time_millis_testing 48.37789700104622 usercpu_time_millis_training 3395.645084001444 usercpu_time_millis_training 3299.6347849984886 usercpu_time_millis_training 3336.4650619987515 usercpu_time_millis_training 3207.5766070011014 usercpu_time_millis_training 3286.240669000108 usercpu_time_millis_training 3189.7601450000366 usercpu_time_millis_training 3243.698205998953 usercpu_time_millis_training 3214.7743929999706 usercpu_time_millis_training 3203.6149949999526 usercpu_time_millis_training 3189.9650170016685