6132707 1 Jan van Rijn 9954 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) 4166046 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 true 6948 threshold 0.0 6949 C 3310.608830162021 6953 cache_size 200 6953 class_weight null 6953 coef0 0.08638388934282593 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.0002903099867643459 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 33478 6953 shrinking true 6953 tol 5.11926619658843e-05 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 13196342 description https://api.openml.org/data/download/13196342/description.xml -1 13196343 predictions https://api.openml.org/data/download/13196343/predictions.arff area_under_roc_curve 0.6966970486111111 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mean_absolute_error 0.01973015893415277 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 0.065625 prior_entropy 6.6438561897747395 recall 0.065625 [0,0,0,0.25,0,0.125,0,0,0.25,0.8125,0,0,0,0,0,0,0,0,0.0625,0,0.125,0,0,0,0.0625,0,0,0,0,0.125,0,0.0625,0,0.1875,0,0.9375,0,0,0.125,0.1875,0,0,0.25,0,0.1875,0,0.1875,0,0,0,0,0,0,0,0,0,1,0,0.125,0,0,0,0.25,0,0.0625,0,0,0.25,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1875,0,0,0,0.0625,0.1875,0,0,0,0,0,0,0,0] relative_absolute_error 0.9964726734420573 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09918791417820394 root_relative_squared_error 0.9968760456578022 total_cost 0 area_under_roc_curve 0.7812181554016395 [0.622642,0.974684,0.753165,0.987421,0.762658,1,0.987342,0.981132,0.993671,1,0.958861,0.914557,0.898734,0.889241,0.876582,0.710692,0.886076,0.936709,0.889241,0.886792,0.90566,0.72956,0.754717,0.968553,1,0.971519,0.873418,0.683544,0.617089,0.955975,0.870253,0.993671,0.873418,0.971519,0.712025,0.993711,0.968553,0.918239,1,0.996835,0.716981,0.962264,1,0.582278,0.977848,0.335443,1,0.968553,0.21519,0.449367,0.110759,0.686709,0.654088,0.325949,0.830189,0.981132,1,0.943396,0.974843,0.091772,0.949686,0.930818,0.993671,0.639241,0.981132,0.759494,0.879747,1,0.918239,0.408805,0.778481,1,0.860759,0.164557,0.893082,0.901899,0.718354,0.727848,0.800633,0.943038,0.25,0.987342,0.974843,0.968553,0.560127,0.512658,0.974684,0.563291,0.455696,0.823899,0.943038,0.993711,0.196203,0.81962,0.414557,0.860759,0.767296,0.949367,0.879747,0.779874] area_under_roc_curve 0.7832601902714754 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[0.246835,1,0.718354,1,0.987421,0.971519,0.987421,0.943038,1,0.996835,0.968354,0.943038,0.930818,0.742138,0.899371,0.655063,0.89557,0.89557,0.899371,0.851266,0.952532,0.629747,0.797468,0.993671,0.879747,0.952532,0.810127,0.735849,0.924528,0.860759,0.886792,1,0.882911,0.990506,0.710692,0.996835,0.949367,0.917722,0.993671,0.993671,0.221519,0.462025,1,0.823899,0.981132,0.72956,1,0.882911,0.316456,0.329114,0.54717,0.930818,0.417722,0.509434,0.443038,0.955696,1,0.724684,0.968354,0.685535,0.765823,0.860759,0.987421,0.893082,0.990506,0.731013,0.836478,1,0.481013,0.398734,0.772152,0.993671,0.836478,0.345912,0.844937,0.849057,0.734177,0.667722,0.746835,0.924528,0.805031,0.993671,0.177215,0.958861,0.654088,0.716981,0.981132,0.786164,0.484177,0.914557,0.962264,0.990506,0.955975,0.949686,0.427215,0.886792,0.848101,0.974843,0.805031,0.727848] area_under_roc_curve 0.7898987938858371 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[0.327044,0.958861,0.805031,1,0.867089,0.974843,0.981013,0.993711,0.968354,1,0.955975,0.968553,0.962025,0.579114,0.829114,0.716981,0.937107,0.91195,0.943038,0.874214,0.981013,0.544304,0.823899,0.949367,0.917722,0.981132,0.861635,0.607595,0.550633,0.943396,0.898734,0.996835,0.90566,0.987421,0.455696,1,0.952532,0.962025,0.990506,1,0.597484,0.398734,1,0.632911,0.949367,0.313291,1,0.914557,0.691824,0.955975,0.300633,0.746835,0.411392,0.335443,0.452532,0.886792,1,0.654088,0.984177,0.063291,0.810127,0.879747,0.996835,0.642405,0.981132,0.867925,0.848101,1,0.496835,0.471698,0.830189,0.993711,0.822785,0.164557,0.756329,0.800633,0.968553,0.792453,0.930818,0.93038,0.291139,0.962264,0.949686,0.981132,0.607595,0.335443,0.987342,0.462025,0.72956,0.876582,0.917722,0.993671,0.376582,0.832278,0.647799,0.787975,0.867925,0.990506,0.841772,0.805031] area_under_roc_curve 0.7750532401878826 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kappa 0.05652960138375658 kappa 0.07521723744741085 kappa 0.05638122198631753 kappa 0.05601006922592826 kappa 0.062413969402603534 kappa 0.056307014784523435 kappa 0.05638122198631753 kappa 0.06278256083657664 kappa 0.056344119844296776 kb_relative_information_score 6.443371598638432 kb_relative_information_score 6.202658183205983 kb_relative_information_score 6.795926353135177 kb_relative_information_score 6.549605902979389 kb_relative_information_score 6.59941330738487 kb_relative_information_score 6.675248906904463 kb_relative_information_score 7.088650179585892 kb_relative_information_score 7.0324253491041695 kb_relative_information_score 6.366222606800212 kb_relative_information_score 6.500249250746296 mean_absolute_error 0.019729139650163628 mean_absolute_error 0.01974769803220035 mean_absolute_error 0.0197287450909186 mean_absolute_error 0.019723916980315857 mean_absolute_error 0.01974265425525136 mean_absolute_error 0.019715129582138616 mean_absolute_error 0.01972548365769384 mean_absolute_error 0.01972934666701819 mean_absolute_error 0.01973903497820933 mean_absolute_error 0.019720440447618243 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 0.0625 predictive_accuracy 0.0625 predictive_accuracy 0.08125 predictive_accuracy 0.0625 predictive_accuracy 0.0625 predictive_accuracy 0.06875 predictive_accuracy 0.0625 predictive_accuracy 0.0625 predictive_accuracy 0.06875 predictive_accuracy 0.0625 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 0.0625 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.0625 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.08125 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.0625 [0,0,0,1,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0625 [0,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0] recall 0.06875 [0,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0625 [0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0625 [0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.06875 [0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0625 [0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9964211944527068 relative_absolute_error 0.9973584864747636 relative_absolute_error 0.9964012672181096 relative_absolute_error 0.9961574232482739 relative_absolute_error 0.9971037502652186 relative_absolute_error 0.9957136152595245 relative_absolute_error 0.996236548368374 relative_absolute_error 0.9964316498494018 relative_absolute_error 0.996920958495419 relative_absolute_error 0.9959818407887986 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 0.09918557958914007 root_mean_squared_error 0.09926251203350668 root_mean_squared_error 0.09917431191279556 root_mean_squared_error 0.09916559756345866 root_mean_squared_error 0.09923948417754262 root_mean_squared_error 0.09913619818693487 root_mean_squared_error 0.09915954363775387 root_mean_squared_error 0.09917696973557791 root_mean_squared_error 0.099225127529668 root_mean_squared_error 0.09915374147582759 root_relative_squared_error 0.9968525821548796 root_relative_squared_error 0.9976257823129674 root_relative_squared_error 0.9967393377467164 root_relative_squared_error 0.9966517552405267 root_relative_squared_error 0.9973943436524852 root_relative_squared_error 0.9963562803890121 root_relative_squared_error 0.9965909109978859 root_relative_squared_error 0.9967660498707415 root_relative_squared_error 0.9972500539123417 root_relative_squared_error 0.9965325970764242 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 2560.7084949999717 usercpu_time_millis 2351.901321999776 usercpu_time_millis 2352.9964849999487 usercpu_time_millis 2650.0562259998333 usercpu_time_millis 2542.1339700001226 usercpu_time_millis 2427.4736089998896 usercpu_time_millis 2363.6647060000087 usercpu_time_millis 2378.57020499996 usercpu_time_millis 2508.24631699993 usercpu_time_millis 2359.8041719997127 usercpu_time_millis_testing 145.02015900006882 usercpu_time_millis_testing 142.19206299981124 usercpu_time_millis_testing 142.59273099992242 usercpu_time_millis_testing 162.732399999868 usercpu_time_millis_testing 153.56151000014506 usercpu_time_millis_testing 142.3227880000013 usercpu_time_millis_testing 146.7043529999046 usercpu_time_millis_testing 149.00459199998295 usercpu_time_millis_testing 143.27732399988236 usercpu_time_millis_testing 145.4664129998946 usercpu_time_millis_training 2415.688335999903 usercpu_time_millis_training 2209.7092589999647 usercpu_time_millis_training 2210.4037540000263 usercpu_time_millis_training 2487.3238259999653 usercpu_time_millis_training 2388.5724599999776 usercpu_time_millis_training 2285.1508209998883 usercpu_time_millis_training 2216.960353000104 usercpu_time_millis_training 2229.565612999977 usercpu_time_millis_training 2364.9689930000477 usercpu_time_millis_training 2214.337758999818