8807052 1 Jan van Rijn 9954 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) 6782133 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 10.013960914370122 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.8884132655143366 7708 decision_function_shape null 7708 degree 1 7708 gamma 0.2834413648521985 7708 kernel "sigmoid" 7708 max_iter -1 7708 probability true 7708 random_state 5824 7708 shrinking false 7708 tol 0.0033329036857923217 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18530075 description https://api.openml.org/data/download/18530075/description.xml -1 18530076 predictions https://api.openml.org/data/download/18530076/predictions.arff area_under_roc_curve 0.7367015861742423 [0.778646,0.898043,0.708688,0.86265,0.705492,0.918718,0.759233,0.714094,0.763613,0.993963,0.771267,0.701941,0.784012,0.623382,0.676413,0.678464,0.679017,0.787603,0.738873,0.678583,0.797546,0.640309,0.721236,0.752959,0.814591,0.878906,0.687421,0.696378,0.696299,0.747988,0.790996,0.635969,0.629261,0.965909,0.673848,0.994279,0.755406,0.763928,0.858783,0.680358,0.692985,0.716185,0.728022,0.693655,0.741556,0.746804,0.985243,0.7427,0.726918,0.70711,0.705177,0.69117,0.732244,0.763771,0.75438,0.843198,0.772293,0.682213,0.705315,0.709557,0.646741,0.659328,0.647096,0.685685,0.650765,0.702099,0.772609,0.689236,0.708412,0.718119,0.662721,0.654672,0.762745,0.723445,0.690223,0.652107,0.716501,0.625197,0.726207,0.710819,0.707663,0.631905,0.678307,0.701823,0.711569,0.7369,0.64169,0.737137,0.718908,0.763258,0.854916,0.835938,0.704585,0.729324,0.715396,0.773595,0.77324,0.870818,0.709359,0.62354] average_cost 0 kappa 0.03472222222222222 kb_relative_information_score 35.502136406663034 mean_absolute_error 0.01978115679036141 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 0.044375 prior_entropy 6.6438561897747395 recall 0.044375 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0.5625,0,0,0,0,0,0,0,0,0,0,0.375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0.125,0.0625,0,0,0.5,0.5,0.5625,0.1875,0.5,0.3125] relative_absolute_error 0.9990483227455239 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09941298467002564 root_relative_squared_error 0.9991380892116003 total_cost 0 area_under_roc_curve 0.8091177553538728 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[0.968553,0.927215,0.459119,0.886076,0.882911,0.993711,0.85443,0.792453,0.832278,1,0.842767,0.81761,0.889241,0.68038,0.727848,0.716981,0.754717,0.91195,0.794304,0.716981,0.816456,0.53481,0.899371,0.778481,0.857595,0.955975,0.811321,0.85443,0.756329,0.968553,0.936709,0.844937,0.654088,0.993711,0.594937,0.987342,0.806962,0.844937,0.974684,0.880503,0.654088,0.914557,0.971519,0.677215,0.740506,0.822785,1,0.952532,0.955975,0.974843,0.737342,0.693038,0.996835,0.920886,0.955696,0.842767,0.920886,0.641509,0.765823,0.876582,0.46519,0.46519,0.813291,0.753165,0.610063,0.90566,0.89557,0.628931,0.613924,0.836478,0.566038,0.396226,0.93038,0.89557,0.686709,0.705696,0.72956,0.786164,0.91195,0.85443,0.794304,0.779874,0.534591,0.503145,0.759494,0.879747,0.436709,0.914557,0.893082,0.800633,0.892405,0.955696,0.674051,0.753165,0.698113,0.844937,0.849057,0.876582,0.753165,0.742138] 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 kappa 0.025586269624708346 kappa 0.03183705754399842 kappa 0.038317054845980476 kappa 0.03191363151026219 kappa 0.03214328074961451 kappa 0.03843112446623439 kappa 0.038317054845980476 kappa 0.05112086348001423 kappa 0.013087659641769802 kappa 0.025509195175004943 kb_relative_information_score 3.2490531240083245 kb_relative_information_score 3.0242057802927316 kb_relative_information_score 3.5787525176283292 kb_relative_information_score 3.543702319456708 kb_relative_information_score 3.7381893052626096 kb_relative_information_score 3.4855673966011627 kb_relative_information_score 3.888687793500983 kb_relative_information_score 3.8143854329611533 kb_relative_information_score 3.5813220992753183 kb_relative_information_score 3.598270637675735 mean_absolute_error 0.019783085643630252 mean_absolute_error 0.01978479135157711 mean_absolute_error 0.0197808280770377 mean_absolute_error 0.019780619043730564 mean_absolute_error 0.019780093505971576 mean_absolute_error 0.019781897648505704 mean_absolute_error 0.019779064214753263 mean_absolute_error 0.019779223218911506 mean_absolute_error 0.019780914817442593 mean_absolute_error 0.01978105038205399 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 0.0375 predictive_accuracy 0.04375 predictive_accuracy 0.05 predictive_accuracy 0.04375 predictive_accuracy 0.04375 predictive_accuracy 0.05 predictive_accuracy 0.05 predictive_accuracy 0.0625 predictive_accuracy 0.025 predictive_accuracy 0.0375 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 0.0375 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0.5,0.5,0] recall 0.04375 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0.5,0.5,0] recall 0.05 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,1,0,0,1] recall 0.04375 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,1,0,0,0] recall 0.04375 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0] recall 0.05 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0.5] recall 0.05 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.5,0.5,0,1,0.5] recall 0.0625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0.5] recall 0.025 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.5,0] recall 0.0375 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,1,0] relative_absolute_error 0.9991457395772838 relative_absolute_error 0.9992318864432868 relative_absolute_error 0.9990317210625085 relative_absolute_error 0.9990211638247743 relative_absolute_error 0.9989946215137144 relative_absolute_error 0.9990857398235188 relative_absolute_error 0.9989426371087491 relative_absolute_error 0.9989506676217915 relative_absolute_error 0.9990361018910383 relative_absolute_error 0.9990429485885838 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 0.09942236679401537 root_mean_squared_error 0.09943070499456054 root_mean_squared_error 0.09941115456825503 root_mean_squared_error 0.09941022368091852 root_mean_squared_error 0.09940796019145197 root_mean_squared_error 0.09941674310179167 root_mean_squared_error 0.0994030335918174 root_mean_squared_error 0.09940329905554271 root_mean_squared_error 0.09941168970136159 root_mean_squared_error 0.0994126677664889 root_relative_squared_error 0.9992323831055718 root_relative_squared_error 0.9993161851741629 root_relative_squared_error 0.9991196959967482 root_relative_squared_error 0.9991103402269988 root_relative_squared_error 0.9990875913019154 root_relative_squared_error 0.9991758628721098 root_relative_squared_error 0.9990380771125816 root_relative_squared_error 0.9990407451234069 root_relative_squared_error 0.999125074286831 root_relative_squared_error 0.9991349042112183 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 2472.0078809996267 usercpu_time_millis 2298.33153600066 usercpu_time_millis 2314.2973140011236 usercpu_time_millis 2371.935817999656 usercpu_time_millis 2253.338691999488 usercpu_time_millis 2256.4462460004506 usercpu_time_millis 2262.2897949995604 usercpu_time_millis 2297.582114000761 usercpu_time_millis 2290.850809999938 usercpu_time_millis 2260.707219001233 usercpu_time_millis_testing 152.61934299996938 usercpu_time_millis_testing 152.3655270002564 usercpu_time_millis_testing 153.72220000062953 usercpu_time_millis_testing 159.99743799966382 usercpu_time_millis_testing 150.8527089999916 usercpu_time_millis_testing 149.72894200036535 usercpu_time_millis_testing 154.9458159997812 usercpu_time_millis_testing 151.05434900033288 usercpu_time_millis_testing 156.51429900026415 usercpu_time_millis_testing 150.87035500073398 usercpu_time_millis_training 2319.3885379996573 usercpu_time_millis_training 2145.9660090004036 usercpu_time_millis_training 2160.575114000494 usercpu_time_millis_training 2211.9383799999923 usercpu_time_millis_training 2102.4859829994966 usercpu_time_millis_training 2106.7173040000853 usercpu_time_millis_training 2107.343978999779 usercpu_time_millis_training 2146.527765000428 usercpu_time_millis_training 2134.336510999674 usercpu_time_millis_training 2109.836864000499