4114496 1 Jan van Rijn 14 Supervised Classification 6840 sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 2151113 axis 0 6758 copy true 6758 missing_values "NaN" 6758 strategy "mean" 6758 verbose 0 6758 class_weight null 6841 criterion "entropy" 6841 max_depth 1.7369393374989543 6841 max_features 1.0 6841 max_leaf_nodes null 6841 min_impurity_split 1e-07 6841 min_samples_leaf 5 6841 min_samples_split 7 6841 min_weight_fraction_leaf 0.0 6841 presort false 6841 random_state 37860 6841 splitter "best" 6841 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 9200753 description https://api.openml.org/data/download/9200753/description.xml -1 9200752 predictions https://api.openml.org/data/download/9200752/predictions.arff area_under_roc_curve 0.7158022222222223 [0.794678,0.651806,0.727044,0.694978,0.665361,0.579833,0.77095,0.732756,0.782472,0.758144] average_cost 0 f_measure 0.06620291023960749 [0.360806,0,0,0,0,0,0,0.301223,0,0] kappa 0.10777777777777778 kb_relative_information_score 477.72815208733715 mean_absolute_error 0.16540855732296708 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.039864985187223784 [0.220852,0,0,0,0,0,0,0.177798,0,0] predictive_accuracy 0.19699999999999998 prior_entropy 3.321928094887362 recall 0.197 [0.985,0,0,0,0,0,0,0.985,0,0] relative_absolute_error 0.918936429572011 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2877239732913678 root_relative_squared_error 0.9590799109712113 total_cost 0 area_under_roc_curve 0.7222222222222223 [0.805556,0.611111,0.722222,0.75,0.694444,0.611111,0.777778,0.722222,0.75,0.777778] area_under_roc_curve 0.7344444444444446 [0.8,0.7,0.7,0.727778,0.727778,0.588889,0.8,0.727778,0.8,0.772222] area_under_roc_curve 0.7244444444444444 [0.794444,0.677778,0.761111,0.677778,0.622222,0.622222,0.738889,0.761111,0.794444,0.794444] area_under_roc_curve 0.72 [0.788889,0.655556,0.738889,0.711111,0.683333,0.572222,0.788889,0.738889,0.816667,0.705556] area_under_roc_curve 0.7422222222222223 [0.816667,0.738889,0.711111,0.738889,0.683333,0.627778,0.788889,0.711111,0.816667,0.788889] area_under_roc_curve 0.7244444444444444 [0.822222,0.677778,0.733333,0.733333,0.677778,0.566667,0.766667,0.733333,0.794444,0.738889] area_under_roc_curve 0.7233333333333333 [0.772222,0.644444,0.755556,0.7,0.672222,0.588889,0.8,0.755556,0.8,0.744444] area_under_roc_curve 0.7266666666666667 [0.811111,0.716667,0.744444,0.633333,0.633333,0.661111,0.783333,0.744444,0.727778,0.811111] area_under_roc_curve 0.7255555555555556 [0.788889,0.6,0.738889,0.738889,0.683333,0.627778,0.733333,0.738889,0.816667,0.788889] area_under_roc_curve 0.7299999999999999 [0.794444,0.733333,0.733333,0.705556,0.705556,0.511111,0.766667,0.761111,0.794444,0.794444] 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 0.06559440559440559 [0.363636,0,0,0,0,0,0,0.292308,0,0] f_measure 0.06540178571428572 [0.357143,0,0,0,0,0,0,0.296875,0,0] f_measure 0.06683375104427736 [0.350877,0,0,0,0,0,0,0.31746,0,0] f_measure 0.06569980287243031 [0.358491,0,0,0,0,0,0,0.298507,0,0] f_measure 0.06609405801182765 [0.377358,0,0,0,0,0,0,0.283582,0,0] f_measure 0.06787330316742081 [0.384615,0,0,0,0,0,0,0.294118,0,0] f_measure 0.06517857142857143 [0.339286,0,0,0,0,0,0,0.3125,0,0] f_measure 0.06734006734006734 [0.37037,0,0,0,0,0,0,0.30303,0,0] f_measure 0.06569980287243031 [0.358491,0,0,0,0,0,0,0.298507,0,0] f_measure 0.06683375104427736 [0.350877,0,0,0,0,0,0,0.31746,0,0] kappa 0.10555555555555556 kappa 0.10555555555555556 kappa 0.11111111111111112 kappa 0.10555555555555556 kappa 0.10555555555555556 kappa 0.11111111111111112 kappa 0.10555555555555556 kappa 0.11111111111111112 kappa 0.10555555555555556 kappa 0.11111111111111112 kb_relative_information_score 47.34337398656358 kb_relative_information_score 48.46858690569193 kb_relative_information_score 47.62044759121044 kb_relative_information_score 47.125067010714616 kb_relative_information_score 48.758982663847064 kb_relative_information_score 47.59430176481423 kb_relative_information_score 47.63481245968998 kb_relative_information_score 47.254491642734905 kb_relative_information_score 47.501493845341045 kb_relative_information_score 48.42659421673171 mean_absolute_error 0.16568808439827315 mean_absolute_error 0.16502367536071183 mean_absolute_error 0.16552789158528444 mean_absolute_error 0.16577309956085132 mean_absolute_error 0.16482541229354314 mean_absolute_error 0.1654571091889741 mean_absolute_error 0.16551449999999998 mean_absolute_error 0.16570060229476155 mean_absolute_error 0.1655155434214295 mean_absolute_error 0.1650596551258397 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 0.0394949494949495 [0.222222,0,0,0,0,0,0,0.172727,0,0] precision 0.039331723027375205 [0.217391,0,0,0,0,0,0,0.175926,0,0] precision 0.040144520272982744 [0.212766,0,0,0,0,0,0,0.188679,0,0] precision 0.039636882904936756 [0.22093,0,0,0,0,0,0,0.175439,0,0] precision 0.03992248062015504 [0.232558,0,0,0,0,0,0,0.166667,0,0] precision 0.041050903119868636 [0.238095,0,0,0,0,0,0,0.172414,0,0] precision 0.039170692431561994 [0.206522,0,0,0,0,0,0,0.185185,0,0] precision 0.040584415584415584 [0.227273,0,0,0,0,0,0,0.178571,0,0] precision 0.039636882904936756 [0.22093,0,0,0,0,0,0,0.175439,0,0] precision 0.040144520272982744 [0.212766,0,0,0,0,0,0,0.188679,0,0] predictive_accuracy 0.195 predictive_accuracy 0.195 predictive_accuracy 0.2 predictive_accuracy 0.195 predictive_accuracy 0.195 predictive_accuracy 0.2 predictive_accuracy 0.195 predictive_accuracy 0.2 predictive_accuracy 0.195 predictive_accuracy 0.2 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 0.195 [1,0,0,0,0,0,0,0.95,0,0] recall 0.195 [1,0,0,0,0,0,0,0.95,0,0] recall 0.2 [1,0,0,0,0,0,0,1,0,0] recall 0.195 [0.95,0,0,0,0,0,0,1,0,0] recall 0.195 [1,0,0,0,0,0,0,0.95,0,0] recall 0.2 [1,0,0,0,0,0,0,1,0,0] recall 0.195 [0.95,0,0,0,0,0,0,1,0,0] recall 0.2 [1,0,0,0,0,0,0,1,0,0] recall 0.195 [0.95,0,0,0,0,0,0,1,0,0] recall 0.2 [1,0,0,0,0,0,0,1,0,0] relative_absolute_error 0.9204893577681852 relative_absolute_error 0.9167981964484001 relative_absolute_error 0.9195993976960257 relative_absolute_error 0.9209616642269528 relative_absolute_error 0.9156967349641296 relative_absolute_error 0.9192061621609682 relative_absolute_error 0.919525000000001 relative_absolute_error 0.9205589016375652 relative_absolute_error 0.9195307967857205 relative_absolute_error 0.9169980840324438 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 0.28834645527902963 root_mean_squared_error 0.287096804548208 root_mean_squared_error 0.2881823822924056 root_mean_squared_error 0.2882576013985535 root_mean_squared_error 0.28633140591927786 root_mean_squared_error 0.2876568366699435 root_mean_squared_error 0.2880819731430623 root_mean_squared_error 0.2881711578168518 root_mean_squared_error 0.28784458534508 root_mean_squared_error 0.2872639725505297 root_relative_squared_error 0.9611548509300993 root_relative_squared_error 0.9569893484940273 root_relative_squared_error 0.9606079409746858 root_relative_squared_error 0.9608586713285123 root_relative_squared_error 0.9544380197309268 root_relative_squared_error 0.9588561222331456 root_relative_squared_error 0.9602732438102082 root_relative_squared_error 0.9605705260561733 root_relative_squared_error 0.9594819511502672 root_relative_squared_error 0.957546575168433 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 254.67963699998108 usercpu_time_millis 254.744407999965 usercpu_time_millis 253.88345800001844 usercpu_time_millis 254.71746599998824 usercpu_time_millis 255.38227999993524 usercpu_time_millis 254.74441799997294 usercpu_time_millis 258.57470299990837 usercpu_time_millis 175.93624000005548 usercpu_time_millis 176.7475789999935 usercpu_time_millis 175.04038699996727 usercpu_time_millis_testing 1.331325000023753 usercpu_time_millis_testing 1.1996949999684148 usercpu_time_millis_testing 1.2082419999615013 usercpu_time_millis_testing 1.20415599997159 usercpu_time_millis_testing 1.2342459999672428 usercpu_time_millis_testing 1.2240510000083304 usercpu_time_millis_testing 1.2486089999583783 usercpu_time_millis_testing 0.8644600000025093 usercpu_time_millis_testing 0.8494420000033642 usercpu_time_millis_testing 0.8174559999361009 usercpu_time_millis_training 253.34831199995733 usercpu_time_millis_training 253.5447129999966 usercpu_time_millis_training 252.67521600005693 usercpu_time_millis_training 253.51331000001665 usercpu_time_millis_training 254.148033999968 usercpu_time_millis_training 253.5203669999646 usercpu_time_millis_training 257.32609399995 usercpu_time_millis_training 175.07178000005297 usercpu_time_millis_training 175.89813699999013 usercpu_time_millis_training 174.22293100003117