OpenML
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9379, kappa: 0.9093, kb_relative_information_score: 11636.1895, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9378, predictive_accuracy: 0.9381, prior_entropy: 1.7176, recall: 0.9381, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.3548, scimark_benchmark: 1477.7832, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9387, kappa: 0.9104, kb_relative_information_score: 11636.5645, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9385, predictive_accuracy: 0.9389, prior_entropy: 1.7176, recall: 0.9389, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3545, scimark_benchmark: 1532.7323, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9112, kappa: 0.8852, kb_relative_information_score: 2743.515, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9006, predictive_accuracy: 0.9225, prior_entropy: 1.7176, recall: 0.9225, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.869, scimark_benchmark: 1537.091, usercpu_time_millis: 143460, usercpu_time_millis_testing: 35530, usercpu_time_millis_training: 107930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9004, kappa: 0.8687, kb_relative_information_score: 2599.4238, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8911, predictive_accuracy: 0.9114, prior_entropy: 1.7176, recall: 0.9114, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8753, scimark_benchmark: 1457.9715, usercpu_time_millis: 268850, usercpu_time_millis_testing: 53890, usercpu_time_millis_training: 214960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 1455.151, usercpu_time_millis: 46760, usercpu_time_millis_testing: 4030, usercpu_time_millis_training: 42730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 1541.2328, usercpu_time_millis: 52150, usercpu_time_millis_testing: 3140, usercpu_time_millis_training: 49010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 1435.955, usercpu_time_millis: 38190, usercpu_time_millis_testing: 4490, usercpu_time_millis_training: 33700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9314, kappa: 0.8997, kb_relative_information_score: 2788.594, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9314, predictive_accuracy: 0.9316, prior_entropy: 1.7176, recall: 0.9316, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.867, scimark_benchmark: 1409.5946, usercpu_time_millis: 112360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 112350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 2785.2059, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8671, scimark_benchmark: 1764.9441, usercpu_time_millis: 12740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9266, kappa: 0.8938, kb_relative_information_score: 2763.7442, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9274, predictive_accuracy: 0.9279, prior_entropy: 1.7176, recall: 0.9279, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.868, scimark_benchmark: 1715.9739, usercpu_time_millis: 1160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9404, kappa: 0.9131, kb_relative_information_score: 11668.9766, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 1.7176, recall: 0.9407, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.3501, scimark_benchmark: 1413.0243, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.9134, kb_relative_information_score: 11669.9199, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9406, predictive_accuracy: 0.9409, prior_entropy: 1.7176, recall: 0.9409, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3499, scimark_benchmark: 1524.6452, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9094, kappa: 0.883, kb_relative_information_score: 11176.8837, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8984, predictive_accuracy: 0.921, prior_entropy: 1.7176, recall: 0.921, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4099, scimark_benchmark: 1563.2176, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9487, kappa: 0.9274, kb_relative_information_score: 11919.9563, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9513, predictive_accuracy: 0.9507, prior_entropy: 1.7176, recall: 0.9507, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148, scimark_benchmark: 1773.0155, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9488, kappa: 0.9275, kb_relative_information_score: 11916.2461, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9514, predictive_accuracy: 0.9508, prior_entropy: 1.7176, recall: 0.9508, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3155, scimark_benchmark: 1487.4984, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.92, kappa: 0.8961, kb_relative_information_score: 11392.4105, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9244, predictive_accuracy: 0.9298, prior_entropy: 1.7176, recall: 0.9298, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3861, scimark_benchmark: 1831.5453, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 12486.1388, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9761, predictive_accuracy: 0.9763, prior_entropy: 1.7176, recall: 0.9763, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.227, scimark_benchmark: 1743.7486, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 1616.9325, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9296, kappa: 0.9105, kb_relative_information_score: 11503.504, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9338, predictive_accuracy: 0.9395, prior_entropy: 1.7176, recall: 0.9395, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3709, scimark_benchmark: 1750.7253, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9719, kappa: 0.9596, kb_relative_information_score: 12157.7399, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9718, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.2508, scimark_benchmark: 1768.7781, usercpu_time_millis: 620, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9651, kappa: 0.9498, kb_relative_information_score: 11999.4172, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.965, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9757, kappa: 0.9658, kb_relative_information_score: 11549.2413, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 1.7176, recall: 0.9768, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9682, kappa: 0.956, kb_relative_information_score: 11387.9566, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 1.7176, recall: 0.9701, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9896, kappa: 0.9847, kb_relative_information_score: 12560.1184, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7176, recall: 0.9896, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9904, kappa: 0.986, kb_relative_information_score: 12497.4606, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9906, kappa: 0.9864, kb_relative_information_score: 11959.2286, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9905, predictive_accuracy: 0.9907, prior_entropy: 1.7176, recall: 0.9907, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9693, kappa: 0.9554, kb_relative_information_score: 12249.5071, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9693, predictive_accuracy: 0.9696, prior_entropy: 1.7176, recall: 0.9696, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9815, kappa: 0.9739, kb_relative_information_score: 12645.7207, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.982, predictive_accuracy: 0.9823, prior_entropy: 1.7176, recall: 0.9823, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.968, kappa: 0.9536, kb_relative_information_score: 11784.6273, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9678, predictive_accuracy: 0.9684, prior_entropy: 1.7176, recall: 0.9684, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9776, kappa: 0.9686, kb_relative_information_score: 12270.4288, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9782, predictive_accuracy: 0.9786, prior_entropy: 1.7176, recall: 0.9786, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9461, kappa: 0.9347, kb_relative_information_score: 8617.7149, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9564, predictive_accuracy: 0.9559, prior_entropy: 1.7176, recall: 0.9559, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.97, kappa: 0.9593, kb_relative_information_score: 10033.4904, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9728, predictive_accuracy: 0.9724, prior_entropy: 1.7176, recall: 0.9724, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9693, kappa: 0.9565, kb_relative_information_score: 10576.1268, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 1.7176, recall: 0.9704, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9479, kappa: 0.9326, kb_relative_information_score: 9194.2977, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9499, predictive_accuracy: 0.9544, prior_entropy: 1.7176, recall: 0.9544, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9688, kappa: 0.9561, kb_relative_information_score: 10541.0048, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9694, predictive_accuracy: 0.9701, prior_entropy: 1.7176, recall: 0.9701, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9693, kappa: 0.9565, kb_relative_information_score: 10576.9757, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 1.7176, recall: 0.9704, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9655, kappa: 0.9503, kb_relative_information_score: 2870.4797, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9655, predictive_accuracy: 0.9661, prior_entropy: 1.7176, recall: 0.9661, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9843, kappa: 0.977, kb_relative_information_score: 2932.9542, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 1.7176, recall: 0.9843, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9283, kappa: 0.8953, kb_relative_information_score: 2779.3396, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9282, predictive_accuracy: 0.9286, prior_entropy: 1.7176, recall: 0.9286, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9246, kappa: 0.891, kb_relative_information_score: 2758.6114, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.925, predictive_accuracy: 0.9259, prior_entropy: 1.7176, recall: 0.9259, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8684,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9104, kappa: 0.8841, kb_relative_information_score: 2741.496, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8998, predictive_accuracy: 0.9218, prior_entropy: 1.7176, recall: 0.9218, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8989, kappa: 0.8664, kb_relative_information_score: 2595.22, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8896, predictive_accuracy: 0.9099, prior_entropy: 1.7176, recall: 0.9099, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9849, kappa: 0.9779, kb_relative_information_score: 2934.7241, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 1.7176, recall: 0.985, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9874, kappa: 0.9818, kb_relative_information_score: 2941.6778, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9874, predictive_accuracy: 0.9876, prior_entropy: 1.7176, recall: 0.9876, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9289, kappa: 0.896, kb_relative_information_score: 2781.0122, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9288, predictive_accuracy: 0.9291, prior_entropy: 1.7176, recall: 0.9291, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9457, kappa: 0.9224, kb_relative_information_score: 11833.6728, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9467, predictive_accuracy: 0.9473, prior_entropy: 1.7176, recall: 0.9473, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3271,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9249, kappa: 0.9038, kb_relative_information_score: 11423.1979, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9321, predictive_accuracy: 0.935, prior_entropy: 1.7176, recall: 0.935, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9624, kappa: 0.9456, kb_relative_information_score: 12067.2429, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9621, predictive_accuracy: 0.963, prior_entropy: 1.7176, recall: 0.963, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9577, kappa: 0.9389, kb_relative_information_score: 11930.4516, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9574, predictive_accuracy: 0.9584, prior_entropy: 1.7176, recall: 0.9584, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2924,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9593, kappa: 0.9432, kb_relative_information_score: 11301.1654, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 1.7176, recall: 0.9614, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.3285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9739, kappa: 0.9618, kb_relative_information_score: 12340.0275, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9738, predictive_accuracy: 0.9739, prior_entropy: 1.7176, recall: 0.9739, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.089, root_relative_squared_error: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9747, kappa: 0.9629, kb_relative_information_score: 12296.9483, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 1.7176, recall: 0.9747, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9747, kappa: 0.9631, kb_relative_information_score: 11895.5419, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9745, predictive_accuracy: 0.9748, prior_entropy: 1.7176, recall: 0.9748, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9747, kappa: 0.9632, kb_relative_information_score: 11853.0259, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9746, predictive_accuracy: 0.9749, prior_entropy: 1.7176, recall: 0.9749, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9644, kappa: 0.948, kb_relative_information_score: 12186.5622, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9642, predictive_accuracy: 0.9645, prior_entropy: 1.7176, recall: 0.9645, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2797, scimark_benchmark: 1652.7669, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9778, kappa: 0.9679, kb_relative_information_score: 12013.9681, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9777, predictive_accuracy: 0.9781, prior_entropy: 1.7176, recall: 0.9781, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.989, kb_relative_information_score: 12506.6412, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 1.7176, recall: 0.9925, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.933, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9731, kappa: 0.9611, kb_relative_information_score: 11869.7525, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 1.7176, recall: 0.9735, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9768, kappa: 0.9664, kb_relative_information_score: 12389.6214, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 1.7176, recall: 0.9771, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9936, kappa: 0.9912, kb_relative_information_score: 12840.9102, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9938, predictive_accuracy: 0.994, prior_entropy: 1.7176, recall: 0.994, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0291, root_relative_squared_error: 0.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.9862, kb_relative_information_score: 12400.6991, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9902, predictive_accuracy: 0.9906, prior_entropy: 1.7176, recall: 0.9906, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1647,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9004, kappa: 0.8687, kb_relative_information_score: 2599.4238, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8911, predictive_accuracy: 0.9114, prior_entropy: 1.7176, recall: 0.9114, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9719, kappa: 0.9596, kb_relative_information_score: 12157.7399, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9718, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 2785.2059, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9296, kappa: 0.9105, kb_relative_information_score: 11503.504, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9338, predictive_accuracy: 0.9395, prior_entropy: 1.7176, recall: 0.9395, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9757, kappa: 0.9658, kb_relative_information_score: 11549.2413, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 1.7176, recall: 0.9768, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9904, kappa: 0.986, kb_relative_information_score: 12497.4606, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9314, kappa: 0.8997, kb_relative_information_score: 2788.594, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9314, predictive_accuracy: 0.9316, prior_entropy: 1.7176, recall: 0.9316, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9896, kappa: 0.9847, kb_relative_information_score: 12560.1184, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7176, recall: 0.9896, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9651, kappa: 0.9498, kb_relative_information_score: 11999.4172, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.965, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9906, kappa: 0.9864, kb_relative_information_score: 11959.2286, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9905, predictive_accuracy: 0.9907, prior_entropy: 1.7176, recall: 0.9907, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9266, kappa: 0.8938, kb_relative_information_score: 2763.7442, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9274, predictive_accuracy: 0.9279, prior_entropy: 1.7176, recall: 0.9279, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9404, kappa: 0.9131, kb_relative_information_score: 11668.9766, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 1.7176, recall: 0.9407, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9486, kappa: 0.9418, kb_relative_information_score: 8132.0519, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9607, prior_entropy: 1.7176, recall: 0.9607, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.9134, kb_relative_information_score: 11669.9199, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9406, predictive_accuracy: 0.9409, prior_entropy: 1.7176, recall: 0.9409, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9094, kappa: 0.883, kb_relative_information_score: 11176.8837, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8984, predictive_accuracy: 0.921, prior_entropy: 1.7176, recall: 0.921, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9487, kappa: 0.9274, kb_relative_information_score: 11919.9563, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9513, predictive_accuracy: 0.9507, prior_entropy: 1.7176, recall: 0.9507, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9488, kappa: 0.9275, kb_relative_information_score: 11916.2461, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9514, predictive_accuracy: 0.9508, prior_entropy: 1.7176, recall: 0.9508, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3155,

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

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From your own software

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

OpenML APIs