8926079 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6862929 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap true 7684 class_weight null 7684 criterion "entropy" 7684 max_depth null 7684 max_features 0.69734653221081 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 16 7684 min_samples_split 20 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18767724 description https://api.openml.org/data/download/18767724/description.xml -1 18767725 predictions https://api.openml.org/data/download/18767725/predictions.arff area_under_roc_curve 0.9783302777777777 [0.999831,0.966733,0.994083,0.983261,0.970772,0.988383,0.944658,0.990856,0.996789,0.947936] average_cost 0 f_measure 0.7947059048143569 [0.972705,0.727273,0.908189,0.856397,0.736842,0.867647,0.534005,0.855172,0.934673,0.554156] kappa 0.7733333333333334 kb_relative_information_score 1521.0048781925352 mean_absolute_error 0.06844481854096005 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7953933132673623 [0.965517,0.734694,0.901478,0.896175,0.777778,0.850962,0.538071,0.791489,0.939394,0.558376] predictive_accuracy 0.7959999999999999 prior_entropy 3.321928094887362 recall 0.796 [0.98,0.72,0.915,0.82,0.7,0.885,0.53,0.93,0.93,0.55] relative_absolute_error 0.3802489918942108 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1687552626714489 root_relative_squared_error 0.5625175422381544 total_cost 0 area_under_roc_curve 0.9765833333333334 [1,0.966944,0.991667,0.994167,0.954444,1,0.924444,0.9925,0.991667,0.95] area_under_roc_curve 0.9787222222222222 [1,0.978333,0.9925,0.981111,0.955278,0.985556,0.956111,0.988611,0.998333,0.951389] area_under_roc_curve 0.9750277777777778 [1,0.966389,0.998333,0.964444,0.968333,0.990833,0.928611,0.988056,1,0.945278] area_under_roc_curve 0.9826666666666667 [0.999167,0.966667,0.994167,0.991111,0.986944,0.992222,0.967222,0.996111,0.999167,0.933889] area_under_roc_curve 0.9808333333333333 [1,0.966111,0.995556,0.991944,0.981944,0.992222,0.956389,0.989444,0.999444,0.935278] area_under_roc_curve 0.9801666666666669 [1,0.960556,0.999167,0.983056,0.987778,0.981111,0.946111,0.991389,0.998056,0.954444] area_under_roc_curve 0.9829166666666665 [0.999444,0.973889,0.993889,0.99,0.989167,0.978889,0.976944,0.986667,1,0.940278] area_under_roc_curve 0.9800277777777776 [1,0.960278,0.998889,0.978056,0.970278,0.992778,0.948889,0.993889,0.986667,0.970556] area_under_roc_curve 0.979972222222222 [1,0.964722,0.999444,0.996389,0.983333,0.977778,0.935833,0.994167,1,0.948056] area_under_roc_curve 0.9733611111111112 [1,0.966944,0.985556,0.973333,0.946389,0.998056,0.917222,0.993889,0.996111,0.956111] 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 0.7749864015717673 [0.97561,0.755556,0.9,0.864865,0.731707,0.974359,0.324324,0.871795,0.923077,0.428571] f_measure 0.7779119680436216 [1,0.789474,0.864865,0.8,0.611111,0.837209,0.540541,0.818182,0.926829,0.590909] f_measure 0.761727489583417 [1,0.651163,0.918919,0.722222,0.666667,0.809524,0.487805,0.8,0.97561,0.585366] f_measure 0.808446008324057 [0.95,0.756757,0.926829,0.904762,0.75,0.833333,0.634146,0.85,0.923077,0.555556] f_measure 0.7659764924027703 [0.97561,0.647059,0.9,0.878049,0.685714,0.837209,0.540541,0.791667,0.930233,0.473684] f_measure 0.8268943183139362 [1,0.711111,0.926829,0.857143,0.705882,0.863636,0.684211,0.909091,0.926829,0.684211] f_measure 0.8337213099344036 [0.974359,0.736842,0.9,0.894737,0.864865,0.844444,0.682927,0.844444,1,0.594595] f_measure 0.7950427044072744 [0.95,0.761905,0.97561,0.842105,0.666667,0.789474,0.545455,0.909091,0.894737,0.615385] f_measure 0.8105595488522317 [0.95,0.727273,0.926829,0.926829,0.85,0.923077,0.444444,0.833333,1,0.52381] f_measure 0.7891574293082416 [0.952381,0.731707,0.844444,0.857143,0.823529,0.974359,0.444444,0.930233,0.833333,0.5] kappa 0.75 kappa 0.7555555555555555 kappa 0.7333333333333334 kappa 0.788888888888889 kappa 0.75 kappa 0.8111111111111111 kappa 0.8166666666666667 kappa 0.7722222222222223 kappa 0.7944444444444444 kappa 0.7611111111111112 kb_relative_information_score 152.21109052567664 kb_relative_information_score 150.47489405156304 kb_relative_information_score 148.93126504215942 kb_relative_information_score 152.8715875902218 kb_relative_information_score 151.68917808055684 kb_relative_information_score 154.1908749602284 kb_relative_information_score 153.30336718613373 kb_relative_information_score 151.83692564016735 kb_relative_information_score 155.4209897844745 kb_relative_information_score 150.074705331354 mean_absolute_error 0.06886591919217594 mean_absolute_error 0.06957090892615234 mean_absolute_error 0.07186012194660216 mean_absolute_error 0.06749868789897054 mean_absolute_error 0.06821543360437164 mean_absolute_error 0.06622192391577462 mean_absolute_error 0.06785833585751751 mean_absolute_error 0.06883393958244145 mean_absolute_error 0.06558679885744674 mean_absolute_error 0.06993611562814762 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 0.7791980485974296 [0.952381,0.68,0.9,0.941176,0.714286,1,0.352941,0.894737,0.947368,0.409091] precision 0.7829282365119963 [1,0.833333,0.941176,0.8,0.6875,0.782609,0.588235,0.75,0.904762,0.541667] precision 0.7678133451216975 [1,0.608696,1,0.8125,0.684211,0.772727,0.47619,0.8,0.952381,0.571429] precision 0.8163700863120367 [0.95,0.823529,0.904762,0.863636,0.642857,0.9375,0.619048,0.85,0.947368,0.625] precision 0.7714218730970649 [0.952381,0.785714,0.9,0.857143,0.8,0.782609,0.588235,0.678571,0.869565,0.5] precision 0.8376111111111111 [1,0.64,0.904762,1,0.857143,0.791667,0.722222,0.833333,0.904762,0.722222] precision 0.8397124183006536 [1,0.777778,0.9,0.944444,0.941176,0.76,0.666667,0.76,1,0.647059] precision 0.80112326270221 [0.95,0.727273,0.952381,0.888889,0.75,0.833333,0.5,0.833333,0.944444,0.631579] precision 0.8194254867939078 [0.95,0.923077,0.904762,0.904762,0.85,0.947368,0.5,0.714286,1,0.5] precision 0.8090441840767927 [0.909091,0.714286,0.76,1,1,1,0.4,0.869565,0.9375,0.5] predictive_accuracy 0.775 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.81 predictive_accuracy 0.775 predictive_accuracy 0.83 predictive_accuracy 0.835 predictive_accuracy 0.795 predictive_accuracy 0.815 predictive_accuracy 0.785 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 0.775 [1,0.85,0.9,0.8,0.75,0.95,0.3,0.85,0.9,0.45] recall 0.78 [1,0.75,0.8,0.8,0.55,0.9,0.5,0.9,0.95,0.65] recall 0.76 [1,0.7,0.85,0.65,0.65,0.85,0.5,0.8,1,0.6] recall 0.81 [0.95,0.7,0.95,0.95,0.9,0.75,0.65,0.85,0.9,0.5] recall 0.775 [1,0.55,0.9,0.9,0.6,0.9,0.5,0.95,1,0.45] recall 0.83 [1,0.8,0.95,0.75,0.6,0.95,0.65,1,0.95,0.65] recall 0.835 [0.95,0.7,0.9,0.85,0.8,0.95,0.7,0.95,1,0.55] recall 0.795 [0.95,0.8,1,0.8,0.6,0.75,0.6,1,0.85,0.6] recall 0.815 [0.95,0.6,0.95,0.95,0.85,0.9,0.4,1,1,0.55] recall 0.785 [1,0.75,0.95,0.75,0.7,0.95,0.5,1,0.75,0.5] relative_absolute_error 0.3825884399565334 relative_absolute_error 0.38650504958973564 relative_absolute_error 0.39922289970334573 relative_absolute_error 0.37499271054983674 relative_absolute_error 0.3789746311353984 relative_absolute_error 0.3678995773098594 relative_absolute_error 0.3769907547639865 relative_absolute_error 0.3824107754580085 relative_absolute_error 0.36437110476359336 relative_absolute_error 0.3885339757119317 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 0.17010460777295944 root_mean_squared_error 0.17449644820589857 root_mean_squared_error 0.17443732847468754 root_mean_squared_error 0.16582814416220207 root_mean_squared_error 0.16960513498519236 root_mean_squared_error 0.16305942802101542 root_mean_squared_error 0.1661127968567972 root_mean_squared_error 0.16900669068597346 root_mean_squared_error 0.16156149691511654 root_mean_squared_error 0.17279561588134745 root_relative_squared_error 0.5670153592431985 root_relative_squared_error 0.5816548273529956 root_relative_squared_error 0.5814577615822922 root_relative_squared_error 0.5527604805406738 root_relative_squared_error 0.5653504499506415 root_relative_squared_error 0.5435314267367183 root_relative_squared_error 0.553709322855991 root_relative_squared_error 0.5633556356199119 root_relative_squared_error 0.5385383230503887 root_relative_squared_error 0.5759853862711585 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 114344.44965900002 usercpu_time_millis 111873.97268900168 usercpu_time_millis 112720.62451499914 usercpu_time_millis 113540.59297299864 usercpu_time_millis 113714.95360600056 usercpu_time_millis 113455.80676899772 usercpu_time_millis 113820.13564100089 usercpu_time_millis 114474.3726910001 usercpu_time_millis 112892.7948239998 usercpu_time_millis 113376.32078899878 usercpu_time_millis_testing 84.97805899969535 usercpu_time_millis_testing 86.35748000051535 usercpu_time_millis_testing 90.43051799926616 usercpu_time_millis_testing 89.90845900007116 usercpu_time_millis_testing 85.58319499934441 usercpu_time_millis_testing 92.30642299917236 usercpu_time_millis_testing 84.39495000129682 usercpu_time_millis_testing 84.44950400007656 usercpu_time_millis_testing 84.63416599988705 usercpu_time_millis_testing 86.82970599875262 usercpu_time_millis_training 114259.47160000032 usercpu_time_millis_training 111787.61520900116 usercpu_time_millis_training 112630.19399699988 usercpu_time_millis_training 113450.68451399857 usercpu_time_millis_training 113629.37041100122 usercpu_time_millis_training 113363.50034599855 usercpu_time_millis_training 113735.74069099959 usercpu_time_millis_training 114389.92318700002 usercpu_time_millis_training 112808.1606579999 usercpu_time_millis_training 113289.49108300003