OpenML
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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60368 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9932, kappa: 0.941, kb_relative_information_score: 12646.16, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5281, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 10.9789, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.988, kappa: 0.8973, kb_relative_information_score: 11139.1572, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9883, predictive_accuracy: 0.9878, prior_entropy: 0.3338, recall: 0.9878, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9805, kappa: 0.8243, kb_relative_information_score: 9674.5247, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3338, recall: 0.9812, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9931, kappa: 0.9404, kb_relative_information_score: 12629.9548, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9949, kappa: 0.9561, kb_relative_information_score: 13054.1511, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.3338, recall: 0.9949, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 8.4937, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 12.2962, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9345, kb_relative_information_score: 12514.3416, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9949, kappa: 0.9559, kb_relative_information_score: 13081.1626, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.3338, recall: 0.9949, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9836, kappa: 0.8537, kb_relative_information_score: 10241.2559, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3338, recall: 0.9841, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.4709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.9113, kappa: 0.0332, kb_relative_information_score: 606.5195, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9396, predictive_accuracy: 0.9395, prior_entropy: 0.3338, recall: 0.9395, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9155, kappa: 0.085, kb_relative_information_score: 1103.0393, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.942, predictive_accuracy: 0.9412, prior_entropy: 0.3338, recall: 0.9412, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5282, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9923, kappa: 0.9333, kb_relative_information_score: 12521.0436, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.3338, recall: 0.9923, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 19.5685, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9288, kappa: 0.2485, kb_relative_information_score: -1911.4667, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9459, predictive_accuracy: 0.9471, prior_entropy: 0.3338, recall: 0.9471, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, kb_relative_information_score: 10.3997, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5285, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.993, kappa: 0.9397, kb_relative_information_score: 12630.4994, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9933, kappa: 0.9419, kb_relative_information_score: 12547.0907, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9233, kappa: 0.1807, kb_relative_information_score: 679.627, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9449, predictive_accuracy: 0.9446, prior_entropy: 0.3338, recall: 0.9446, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, kb_relative_information_score: 3.802, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9862, kappa: 0.8852, kb_relative_information_score: 10049.1368, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9875, predictive_accuracy: 0.9857, prior_entropy: 0.3338, recall: 0.9857, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.4376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9921, kappa: 0.9315, kb_relative_information_score: 12539.513, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9921, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.3238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9907, kappa: 0.9197, kb_relative_information_score: 12126.3086, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.3338, recall: 0.9907, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9946, kappa: 0.9536, kb_relative_information_score: 12952.3936, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 0.3338, recall: 0.9946, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9343, kb_relative_information_score: 12521.0647, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9923, kappa: 0.9336, kb_relative_information_score: 12262.8214, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9829, kappa: 0.8603, kb_relative_information_score: 8776.2056, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9853, predictive_accuracy: 0.9819, prior_entropy: 0.3338, recall: 0.9819, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9348, kb_relative_information_score: 12608.8526, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9348, kb_relative_information_score: 12542.3524, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9858, kappa: 0.8747, kb_relative_information_score: 11001.8083, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9858, predictive_accuracy: 0.9862, prior_entropy: 0.3338, recall: 0.9862, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.993, kappa: 0.939, kb_relative_information_score: 12658.6733, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.946, kappa: 0.5712, kb_relative_information_score: 1594.2958, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9524, predictive_accuracy: 0.9418, prior_entropy: 0.3338, recall: 0.9418, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9926, kappa: 0.9355, kb_relative_information_score: 12617.5576, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5286, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5284, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9947, kappa: 0.9547, kb_relative_information_score: 13006.2752, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9948, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2759,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9566, kappa: 0.5697, kb_relative_information_score: 1294.4041, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 0.3338, recall: 0.9635, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.681, scimark_benchmark: 1814.8185, usercpu_time_millis: 290.809, usercpu_time_millis_testing: 3.976, usercpu_time_millis_training: 286.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.993, kappa: 0.9394, kb_relative_information_score: 11615.2347, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3267, scimark_benchmark: 1806.3111, usercpu_time_millis: 240.502, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 238.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9903, kappa: 0.9149, kb_relative_information_score: 9152.9719, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3968, scimark_benchmark: 1834.365, usercpu_time_millis: 242.869, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 239.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.994, kappa: 0.9479, kb_relative_information_score: 12156.4041, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.301, scimark_benchmark: 1852.0126, usercpu_time_millis: 163.473, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 162.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9335, kb_relative_information_score: 10111.4729, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.359, scimark_benchmark: 1804.0049, usercpu_time_millis: 140.578, usercpu_time_millis_testing: 3.208, usercpu_time_millis_training: 137.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9688, kappa: 0.7017, kb_relative_information_score: 1204.1691, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.3338, recall: 0.9723, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.6839, scimark_benchmark: 1807.8963, usercpu_time_millis: 129.689, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 128.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9927, kappa: 0.936, kb_relative_information_score: 10293.779, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9927, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3535, scimark_benchmark: 1854.4431, usercpu_time_millis: 125.927, usercpu_time_millis_testing: 2.872, usercpu_time_millis_training: 123.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9936, kappa: 0.9444, kb_relative_information_score: 11589.7038, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3155, scimark_benchmark: 1796.2569, usercpu_time_millis: 78.221, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 77.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.99, kappa: 0.9119, kb_relative_information_score: 10416.3092, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9902, prior_entropy: 0.3338, recall: 0.9902, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3901, scimark_benchmark: 1798.6571, usercpu_time_millis: 49.509, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 49.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9927, kappa: 0.9359, kb_relative_information_score: 9750.0874, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9927, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3674, scimark_benchmark: 1812.8474, usercpu_time_millis: 37.022, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 35.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9087, kb_relative_information_score: 934.7025, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.7843, scimark_benchmark: 1839.282, usercpu_time_millis: 40.336, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 38.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9646, kappa: 0.657, kb_relative_information_score: 1379.661, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.3338, recall: 0.9692, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.6767, scimark_benchmark: 1801.6523, usercpu_time_millis: 36.669, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 36.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9504, kappa: 0.5006, kb_relative_information_score: 1444.4461, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.96, predictive_accuracy: 0.9595, prior_entropy: 0.3338, recall: 0.9595, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.6801, scimark_benchmark: 1856.0093, usercpu_time_millis: 40.662, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 38.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9853, kappa: 0.8676, kb_relative_information_score: 7060.0064, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9858, predictive_accuracy: 0.986, prior_entropy: 0.3338, recall: 0.986, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.114, root_relative_squared_error: 0.4742, scimark_benchmark: 1857.5664, usercpu_time_millis: 35.694, usercpu_time_millis_testing: 1.697, usercpu_time_millis_training: 33.997,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs