7811327 3886 Benjamin Strang 3481 Supervised Classification 7122 sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 5838497 memory null 7122 axis 0 7123 copy true 7123 missing_values "NaN" 7123 strategy "mean" 7123 verbose 0 7123 class_weight null 7124 criterion "gini" 7124 max_depth null 7124 max_features null 7124 max_leaf_nodes null 7124 min_impurity_decrease 0.0 7124 min_impurity_split null 7124 min_samples_leaf 1 7124 min_samples_split 2 7124 min_weight_fraction_leaf 0.0 7124 presort false 7124 random_state 32626 7124 splitter "best" 7124 openml-python Sklearn_0.19.0. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 16546609 description https://api.openml.org/data/download/16546609/description.xml -1 16546610 predictions https://api.openml.org/data/download/16546610/predictions.arff area_under_roc_curve 0.9037628654117038 [0.877265,0.856131,0.945266,0.884531,0.811198,0.923441,0.883998,0.965399,0.931132,0.898465,0.906399,0.922466,0.881553,0.852998,0.932599,0.853264,0.925599,0.963333,0.960133,0.878465,0.931132,0.823731,0.849865,0.958066,0.965199,0.916265] average_cost 0 f_measure 0.8149019961138958 [0.769748,0.723333,0.910017,0.75974,0.664336,0.856661,0.75,0.934891,0.876897,0.786992,0.82,0.860034,0.768719,0.722689,0.874372,0.700162,0.859532,0.923841,0.923333,0.762852,0.876897,0.668919,0.722034,0.912397,0.930233,0.828947] kappa 0.80752594632579 kb_relative_information_score 6336.638713737546 mean_absolute_error 0.014236244709504074 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.8153128526749167 [0.776271,0.723333,0.927336,0.740506,0.698529,0.861017,0.722222,0.936455,0.887372,0.768254,0.82,0.870307,0.764901,0.728814,0.878788,0.681388,0.862416,0.917763,0.923333,0.759076,0.887372,0.678082,0.734483,0.904918,0.927152,0.818182] predictive_accuracy 0.8149288187764525 prior_entropy 4.700438289429255 recall 0.8149288187764525 [0.763333,0.723333,0.893333,0.78,0.633333,0.852349,0.78,0.933333,0.866667,0.806667,0.82,0.85,0.772575,0.716667,0.87,0.72,0.856667,0.93,0.923333,0.766667,0.866667,0.66,0.71,0.92,0.933333,0.84] relative_absolute_error 0.19247404374522073 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.11931573538098013 root_relative_squared_error 0.6204418486788215 total_cost 0 area_under_roc_curve 0.8940000000000002 [0.86,0.809333,0.963333,0.929333,0.756667,0.914,0.909333,0.966,0.914,0.876667,0.848,0.880667,0.878667,0.841333,0.948,0.892667,0.896667,0.948,0.982667,0.880667,0.916,0.827333,0.812667,0.914667,0.980667,0.896667] area_under_roc_curve 0.9126666666666668 [0.878667,0.86,0.982,0.924667,0.796,0.947333,0.876,0.982,0.898667,0.912667,0.928667,0.965333,0.879333,0.862,0.932667,0.843333,0.965333,0.997333,0.964667,0.896667,0.916667,0.844,0.845333,0.933333,0.98,0.916667] area_under_roc_curve 0.9053333333333334 [0.929333,0.845333,0.932,0.879333,0.880667,0.894,0.844,0.965333,0.914,0.863333,0.912,0.930667,0.865333,0.843333,0.980667,0.894,0.946667,0.932667,0.947333,0.893333,0.93,0.810667,0.844667,0.983333,0.964667,0.912] area_under_roc_curve 0.9033333333333333 [0.848667,0.877333,0.915333,0.828667,0.860667,0.862,0.878667,0.932,0.898,0.895333,0.944667,0.966,0.929333,0.878667,0.914,0.795333,0.966,0.981333,0.912667,0.826667,0.981333,0.858,0.86,0.981333,0.948667,0.946] area_under_roc_curve 0.8919999999999998 [0.91,0.795333,0.916,0.861333,0.762,0.880667,0.942,0.915333,0.947333,0.962667,0.882,0.896667,0.824,0.81,0.964,0.892,0.898667,0.948,0.898667,0.874667,0.946667,0.792,0.811333,0.996667,0.966,0.898] area_under_roc_curve 0.8906666666666667 [0.863333,0.859333,0.949333,0.791333,0.792,0.931333,0.926667,0.981333,0.983333,0.877333,0.876667,0.911333,0.878,0.83,0.913333,0.726667,0.878667,0.95,0.982,0.862,0.914,0.827333,0.844667,0.929333,0.966,0.912] area_under_roc_curve 0.9106666666666667 [0.88,0.962,0.948667,0.913333,0.83,0.947333,0.927333,0.966667,0.946667,0.879333,0.913333,0.914667,0.878667,0.811333,0.881333,0.776667,0.931333,0.980667,0.966667,0.946667,0.88,0.844,0.876667,0.997333,0.964667,0.912] area_under_roc_curve 0.9078816199376947 [0.911994,0.846662,0.931331,0.927325,0.827993,0.981998,0.745995,0.99733,0.931331,0.87866,0.962661,0.930663,0.927701,0.879996,0.914664,0.874655,0.895995,0.948665,0.999332,0.809324,0.948665,0.795327,0.911994,0.915332,0.965999,0.943992] area_under_roc_curve 0.9045429461504229 [0.87866,0.82599,0.949332,0.845995,0.793324,0.928368,0.909991,0.965999,0.948665,0.909324,0.864664,0.931998,0.863996,0.911994,0.94733,0.911326,0.945327,0.965332,0.964664,0.831331,0.896662,0.809324,0.843324,0.963996,0.982666,0.929328] area_under_roc_curve 0.9165554072096126 [0.811994,0.879996,0.965332,0.943992,0.812661,0.948276,0.879996,0.981998,0.929328,0.929328,0.931331,0.896662,0.891989,0.861326,0.929996,0.92599,0.931331,0.981331,0.982666,0.963329,0.981331,0.829328,0.847997,0.965332,0.932666,0.895995] 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 0.796862091163406 [0.709677,0.633333,0.888889,0.83871,0.52459,0.847458,0.757576,0.949153,0.847458,0.730159,0.777778,0.807018,0.766667,0.65625,0.9,0.738462,0.813559,0.9,0.966667,0.807018,0.892857,0.677966,0.690909,0.862069,0.920635,0.813559] f_measure 0.8324465374918559 [0.766667,0.709677,0.95082,0.753623,0.666667,0.885246,0.71875,0.95082,0.857143,0.819672,0.825397,0.933333,0.779661,0.745763,0.912281,0.688525,0.933333,0.9375,0.918033,0.813559,0.909091,0.7,0.724138,0.928571,0.90625,0.909091] f_measure 0.8178933168057138 [0.83871,0.724138,0.896552,0.779661,0.807018,0.761905,0.7,0.933333,0.847458,0.77193,0.806452,0.866667,0.814815,0.688525,0.920635,0.761905,0.870968,0.912281,0.885246,0.75,0.852459,0.655172,0.711864,0.983051,0.918033,0.806452] f_measure 0.8138792504734819 [0.792453,0.741935,0.877193,0.701754,0.721311,0.745763,0.766667,0.896552,0.842105,0.786885,0.830769,0.949153,0.83871,0.766667,0.847458,0.654545,0.949153,0.935484,0.819672,0.666667,0.935484,0.676923,0.709677,0.935484,0.915254,0.857143] f_measure 0.7920584325260378 [0.769231,0.654545,0.892857,0.733333,0.603774,0.807018,0.782609,0.877193,0.885246,0.875,0.836364,0.813559,0.625,0.644068,0.903226,0.727273,0.857143,0.9,0.857143,0.69697,0.870968,0.6,0.666667,0.923077,0.949153,0.842105] f_measure 0.7892499140819554 [0.77193,0.698413,0.931034,0.590164,0.6,0.881356,0.787879,0.935484,0.983051,0.741935,0.730159,0.793651,0.754098,0.727273,0.833333,0.518519,0.766667,0.947368,0.95082,0.745763,0.847458,0.677966,0.711864,0.83871,0.949153,0.806452] f_measure 0.827010459833486 [0.793103,0.861538,0.915254,0.833333,0.727273,0.885246,0.8,0.965517,0.870968,0.779661,0.833333,0.862069,0.766667,0.666667,0.821429,0.596491,0.881356,0.920635,0.965517,0.870968,0.793103,0.7,0.730159,0.9375,0.918033,0.806452] f_measure 0.8209767987944644 [0.806452,0.75,0.881356,0.8,0.689655,0.95082,0.588235,0.9375,0.881356,0.766667,0.875,0.866667,0.847458,0.793103,0.862069,0.69697,0.8,0.915254,0.983607,0.633333,0.915254,0.654545,0.806452,0.877193,0.949153,0.818182] f_measure 0.8163151759965905 [0.766667,0.655738,0.931034,0.736842,0.62069,0.862069,0.769231,0.949153,0.915254,0.757576,0.8,0.896552,0.785714,0.806452,0.885246,0.793651,0.84375,0.933333,0.918033,0.754717,0.813559,0.633333,0.688525,0.903226,0.966667,0.83871] f_measure 0.838730583293613 [0.678571,0.793103,0.933333,0.818182,0.690909,0.945455,0.793103,0.95082,0.83871,0.83871,0.881356,0.813559,0.727273,0.733333,0.852459,0.776119,0.881356,0.935484,0.966667,0.888889,0.935484,0.714286,0.777778,0.933333,0.912281,0.8] kappa 0.7879999999999999 kappa 0.8253333333333334 kappa 0.8106666666666666 kappa 0.8066666666666666 kappa 0.7839999999999999 kappa 0.7813333333333333 kappa 0.8213333333333334 kappa 0.8157638118872119 kappa 0.8090882604970008 kappa 0.8331182508221979 kb_relative_information_score 619.0876713622793 kb_relative_information_score 647.4255077935235 kb_relative_information_score 636.2874555726701 kb_relative_information_score 633.2516729654361 kb_relative_information_score 616.0450246257979 kb_relative_information_score 614.0300096649268 kb_relative_information_score 644.3897320177911 kb_relative_information_score 639.3479979285939 kb_relative_information_score 634.2775306880105 kb_relative_information_score 652.4961111177283 mean_absolute_error 0.015680473372781032 mean_absolute_error 0.012919132149901357 mean_absolute_error 0.014003944773175516 mean_absolute_error 0.014299802761341195 mean_absolute_error 0.01597633136094671 mean_absolute_error 0.016173570019723832 mean_absolute_error 0.013214990138067036 mean_absolute_error 0.01362693788881206 mean_absolute_error 0.01412066752246467 mean_absolute_error 0.012343240841315275 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.801247153033439 [0.6875,0.633333,0.848485,0.8125,0.516129,0.862069,0.694444,0.965517,0.862069,0.69697,0.875,0.851852,0.766667,0.617647,0.9,0.685714,0.827586,0.9,0.966667,0.851852,0.961538,0.689655,0.76,0.892857,0.878788,0.827586] precision 0.8377509993343512 [0.766667,0.6875,0.935484,0.666667,0.75,0.870968,0.676471,0.935484,0.923077,0.806452,0.787879,0.933333,0.793103,0.758621,0.962963,0.677419,0.933333,0.882353,0.903226,0.827586,1,0.7,0.75,1,0.852941,1] precision 0.8204245294302468 [0.8125,0.75,0.928571,0.793103,0.851852,0.727273,0.7,0.933333,0.862069,0.814815,0.78125,0.866667,0.916667,0.677419,0.878788,0.727273,0.84375,0.962963,0.870968,0.705882,0.83871,0.678571,0.724138,1,0.903226,0.78125] precision 0.8171512877655573 [0.913043,0.71875,0.925926,0.740741,0.709677,0.758621,0.766667,0.928571,0.888889,0.774194,0.771429,0.965517,0.8125,0.766667,0.862069,0.72,0.965517,0.90625,0.806452,0.666667,0.90625,0.628571,0.6875,0.90625,0.931034,0.818182] precision 0.7986960890187567 [0.714286,0.72,0.961538,0.733333,0.695652,0.851852,0.692308,0.925926,0.870968,0.823529,0.92,0.827586,0.588235,0.655172,0.875,0.666667,0.923077,0.9,0.923077,0.638889,0.84375,0.6,0.703704,0.857143,0.965517,0.888889] precision 0.7915090171590451 [0.814815,0.666667,0.964286,0.580645,0.6,0.896552,0.722222,0.90625,1,0.71875,0.69697,0.757576,0.741935,0.8,0.833333,0.583333,0.766667,1,0.935484,0.758621,0.862069,0.689655,0.724138,0.8125,0.965517,0.78125] precision 0.8289075846287322 [0.821429,0.8,0.931034,0.833333,0.8,0.870968,0.742857,1,0.84375,0.793103,0.833333,0.892857,0.766667,0.703704,0.884615,0.62963,0.896552,0.878788,1,0.84375,0.821429,0.7,0.69697,0.882353,0.903226,0.78125] precision 0.8238539709246021 [0.78125,0.807692,0.896552,0.742857,0.714286,0.935484,0.714286,0.882353,0.896552,0.766667,0.823529,0.866667,0.833333,0.821429,0.892857,0.638889,0.8,0.931034,0.967742,0.633333,0.931034,0.72,0.78125,0.925926,0.965517,0.75] precision 0.8199985936451152 [0.766667,0.645161,0.964286,0.777778,0.642857,0.862069,0.714286,0.965517,0.931034,0.694444,0.88,0.928571,0.846154,0.78125,0.870968,0.757576,0.794118,0.933333,0.903226,0.869565,0.827586,0.633333,0.677419,0.875,0.966667,0.8125] precision 0.8424027289050258 [0.730769,0.821429,0.933333,0.75,0.76,1,0.821429,0.935484,0.8125,0.8125,0.896552,0.827586,0.666667,0.733333,0.83871,0.702703,0.896552,0.90625,0.966667,0.848485,0.90625,0.769231,0.875,0.933333,0.962963,0.8] predictive_accuracy 0.7961538461538461 predictive_accuracy 0.8320512820512821 predictive_accuracy 0.8179487179487179 predictive_accuracy 0.8141025641025641 predictive_accuracy 0.7923076923076923 predictive_accuracy 0.7897435897435898 predictive_accuracy 0.8282051282051281 predictive_accuracy 0.8228498074454429 predictive_accuracy 0.8164313222079589 predictive_accuracy 0.8395378690629012 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 recall 0.7961538461538461 [0.733333,0.633333,0.933333,0.866667,0.533333,0.833333,0.833333,0.933333,0.833333,0.766667,0.7,0.766667,0.766667,0.7,0.9,0.8,0.8,0.9,0.966667,0.766667,0.833333,0.666667,0.633333,0.833333,0.966667,0.8] recall 0.8320512820512821 [0.766667,0.733333,0.966667,0.866667,0.6,0.9,0.766667,0.966667,0.8,0.833333,0.866667,0.933333,0.766667,0.733333,0.866667,0.7,0.933333,1,0.933333,0.8,0.833333,0.7,0.7,0.866667,0.966667,0.833333] recall 0.8179487179487179 [0.866667,0.7,0.866667,0.766667,0.766667,0.8,0.7,0.933333,0.833333,0.733333,0.833333,0.866667,0.733333,0.7,0.966667,0.8,0.9,0.866667,0.9,0.8,0.866667,0.633333,0.7,0.966667,0.933333,0.833333] recall 0.8141025641025641 [0.7,0.766667,0.833333,0.666667,0.733333,0.733333,0.766667,0.866667,0.8,0.8,0.9,0.933333,0.866667,0.766667,0.833333,0.6,0.933333,0.966667,0.833333,0.666667,0.966667,0.733333,0.733333,0.966667,0.9,0.9] recall 0.7923076923076923 [0.833333,0.6,0.833333,0.733333,0.533333,0.766667,0.9,0.833333,0.9,0.933333,0.766667,0.8,0.666667,0.633333,0.933333,0.8,0.8,0.9,0.8,0.766667,0.9,0.6,0.633333,1,0.933333,0.8] recall 0.7897435897435897 [0.733333,0.733333,0.9,0.6,0.6,0.866667,0.866667,0.966667,0.966667,0.766667,0.766667,0.833333,0.766667,0.666667,0.833333,0.466667,0.766667,0.9,0.966667,0.733333,0.833333,0.666667,0.7,0.866667,0.933333,0.833333] recall 0.8282051282051283 [0.766667,0.933333,0.9,0.833333,0.666667,0.9,0.866667,0.933333,0.9,0.766667,0.833333,0.833333,0.766667,0.633333,0.766667,0.566667,0.866667,0.966667,0.933333,0.9,0.766667,0.7,0.766667,1,0.933333,0.833333] recall 0.8228498074454429 [0.833333,0.7,0.866667,0.866667,0.666667,0.966667,0.5,1,0.866667,0.766667,0.933333,0.866667,0.862069,0.766667,0.833333,0.766667,0.8,0.9,1,0.633333,0.9,0.6,0.833333,0.833333,0.933333,0.9] recall 0.8164313222079589 [0.766667,0.666667,0.9,0.7,0.6,0.862069,0.833333,0.933333,0.9,0.833333,0.733333,0.866667,0.733333,0.833333,0.9,0.833333,0.9,0.933333,0.933333,0.666667,0.8,0.633333,0.7,0.933333,0.966667,0.866667] recall 0.8395378690629012 [0.633333,0.766667,0.933333,0.9,0.633333,0.896552,0.766667,0.966667,0.866667,0.866667,0.866667,0.8,0.8,0.733333,0.866667,0.866667,0.866667,0.966667,0.966667,0.933333,0.966667,0.666667,0.7,0.933333,0.866667,0.8] relative_absolute_error 0.2119999999999983 relative_absolute_error 0.1746666666666653 relative_absolute_error 0.18933333333333185 relative_absolute_error 0.1933333333333318 relative_absolute_error 0.2159999999999982 relative_absolute_error 0.2186666666666649 relative_absolute_error 0.17866666666666525 relative_absolute_error 0.18423622807000928 relative_absolute_error 0.1909114863049895 relative_absolute_error 0.16688066984701888 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.12522169689307452 root_mean_squared_error 0.11366236030411016 root_mean_squared_error 0.1183382641970699 root_mean_squared_error 0.11958178273190777 root_mean_squared_error 0.1263975132704228 root_mean_squared_error 0.12717535146294595 root_mean_squared_error 0.11495647062287115 root_mean_squared_error 0.1167344760077847 root_mean_squared_error 0.11883041497219754 root_mean_squared_error 0.111100138799712 root_relative_squared_error 0.6511527980955087 root_relative_squared_error 0.5910442502097611 root_relative_squared_error 0.6153589494916777 root_relative_squared_error 0.6218252456171385 root_relative_squared_error 0.6572670430159449 root_relative_squared_error 0.6613118014571236 root_relative_squared_error 0.5977736236012192 root_relative_squared_error 0.6070193428760076 root_relative_squared_error 0.6179183321570773 root_relative_squared_error 0.5777208847213054 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 10671.875 usercpu_time_millis 11234.375 usercpu_time_millis 10515.625 usercpu_time_millis 11046.875 usercpu_time_millis 10734.375 usercpu_time_millis 10828.125 usercpu_time_millis 10890.625 usercpu_time_millis 10781.25 usercpu_time_millis 10875 usercpu_time_millis 10625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 10656.25 usercpu_time_millis_training 11218.75 usercpu_time_millis_training 10500 usercpu_time_millis_training 11031.25 usercpu_time_millis_training 10718.75 usercpu_time_millis_training 10812.5 usercpu_time_millis_training 10875 usercpu_time_millis_training 10765.625 usercpu_time_millis_training 10859.375 usercpu_time_millis_training 10609.375