Task
Supervised Classification on puma8NH

Supervised Classification on puma8NH

Task 3681 Supervised Classification puma8NH 553 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 4105.4997, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8238, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8267, kappa: 0.6533, kb_relative_information_score: 3759.6254, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8267, predictive_accuracy: 0.8267, prior_entropy: 1, recall: 0.8267, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8219, kappa: 0.6438, kb_relative_information_score: 4137.0022, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8222, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8291, kappa: 0.6586, kb_relative_information_score: 4247.3078, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8307, predictive_accuracy: 0.8293, prior_entropy: 1, recall: 0.8293, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8211, kappa: 0.6424, kb_relative_information_score: 3653.8705, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7877, kappa: 0.5755, kb_relative_information_score: 3765.8094, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7968, kappa: 0.5935, kb_relative_information_score: 4856.5212, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7968, predictive_accuracy: 0.7968, prior_entropy: 1, recall: 0.7968, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3982.4726, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8327, kappa: 0.6655, kb_relative_information_score: 4329.3091, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8328, predictive_accuracy: 0.8328, prior_entropy: 1, recall: 0.8328, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 3810.9594, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7528, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8273, kappa: 0.6545, kb_relative_information_score: 3070.8072, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8273, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7898, kappa: 0.5796, kb_relative_information_score: 3759.8007, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7898, predictive_accuracy: 0.7898, prior_entropy: 1, recall: 0.7898, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7059, kappa: 0.4122, kb_relative_information_score: 1946.4933, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7068, predictive_accuracy: 0.7061, prior_entropy: 1, recall: 0.7061, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8263, kappa: 0.6526, kb_relative_information_score: 5331.5238, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8263, predictive_accuracy: 0.8263, prior_entropy: 1, recall: 0.8263, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8216, kappa: 0.6433, kb_relative_information_score: 4549.8577, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8217, predictive_accuracy: 0.8217, prior_entropy: 1, recall: 0.8217, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7871, kappa: 0.5742, kb_relative_information_score: 1838.9215, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7871, predictive_accuracy: 0.7871, prior_entropy: 1, recall: 0.7871, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7877, kappa: 0.5755, kb_relative_information_score: 3759.5545, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6544, kappa: 0.3092, kb_relative_information_score: 1790.0304, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6549, predictive_accuracy: 0.6545, prior_entropy: 1, recall: 0.6545, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8125, kappa: 0.625, kb_relative_information_score: 4567.5235, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8125, predictive_accuracy: 0.8125, prior_entropy: 1, recall: 0.8125, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4381.0464, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6106, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 3969.2211, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.825, kappa: 0.6499, kb_relative_information_score: 5323.9201, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 4463.5121, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8315, predictive_accuracy: 0.8313, prior_entropy: 1, recall: 0.8313, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8259, kappa: 0.6518, kb_relative_information_score: 3065.1222, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8259, predictive_accuracy: 0.8259, prior_entropy: 1, recall: 0.8259, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8276, kappa: 0.6553, kb_relative_information_score: 5367.9213, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4381.0464, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.7038, kappa: 0.4078, kb_relative_information_score: 3339.8648, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7041, predictive_accuracy: 0.7039, prior_entropy: 1, recall: 0.7039, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7628, kappa: 0.5256, kb_relative_information_score: 2735.0439, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7628, predictive_accuracy: 0.7628, prior_entropy: 1, recall: 0.7628, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8299, kappa: 0.6599, kb_relative_information_score: 4524.7973, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8162, kappa: 0.6327, kb_relative_information_score: 4053.5695, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8177, predictive_accuracy: 0.8164, prior_entropy: 1, recall: 0.8164, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.7651, kappa: 0.5303, kb_relative_information_score: 4343.8928, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7651, predictive_accuracy: 0.7651, prior_entropy: 1, recall: 0.7651, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6754, kappa: 0.3508, kb_relative_information_score: 2873.8518, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6754, predictive_accuracy: 0.6754, prior_entropy: 1, recall: 0.6754, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.1395, scimark_benchmark: 1959.6455, usercpu_time_millis: 7625, usercpu_time_millis_testing: 2546.875, usercpu_time_millis_training: 5078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8219, kappa: 0.6438, kb_relative_information_score: 5273.9187, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8219, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 1631.1992, usercpu_time_millis: 5671.875, usercpu_time_millis_testing: 1093.75, usercpu_time_millis_training: 4578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 5399.9222, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8298, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256, scimark_benchmark: 1862.8608, usercpu_time_millis: 7734.375, usercpu_time_millis_testing: 2109.375, usercpu_time_millis_training: 5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6754, kappa: 0.3508, kb_relative_information_score: 2873.8518, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6754, predictive_accuracy: 0.6754, prior_entropy: 1, recall: 0.6754, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.1395, scimark_benchmark: 1378.5914, usercpu_time_millis: 12750, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 8580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 5399.9222, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8298, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256, scimark_benchmark: 1355.4347, usercpu_time_millis: 10990, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 7800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8219, kappa: 0.6438, kb_relative_information_score: 5273.9187, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8219, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 1360.5786, usercpu_time_millis: 5040, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8225, kappa: 0.645, kb_relative_information_score: 4101.0632, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8227, predictive_accuracy: 0.8225, prior_entropy: 1, recall: 0.8225, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734, scimark_benchmark: 1908.2191, usercpu_time_millis: 23375, usercpu_time_millis_training: 23375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8245, kappa: 0.6489, kb_relative_information_score: 4734.0081, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 1, recall: 0.8245, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7468, scimark_benchmark: 1908.2191, usercpu_time_millis: 20093.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 20078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.825, kappa: 0.6499, kb_relative_information_score: 5323.9201, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8368, scimark_benchmark: 1827.4462, usercpu_time_millis: 8140.625, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 7140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.83, kappa: 0.6607, kb_relative_information_score: 4545.1874, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8333, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7001, scimark_benchmark: 1313.0568, usercpu_time_millis: 7150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8245, kappa: 0.6489, kb_relative_information_score: 4734.0081, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 1, recall: 0.8245, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7468, scimark_benchmark: 1760.5198, usercpu_time_millis: 2046.875, usercpu_time_millis_training: 2046.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 1254.8741, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8225, kappa: 0.645, kb_relative_information_score: 4101.0632, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8227, predictive_accuracy: 0.8225, prior_entropy: 1, recall: 0.8225, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734, scimark_benchmark: 1219.7883, usercpu_time_millis: 3240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8248, kappa: 0.6497, kb_relative_information_score: 5321.92, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8249, predictive_accuracy: 0.8248, prior_entropy: 1, recall: 0.8248, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8371, scimark_benchmark: 1618.1738, usercpu_time_millis: 1656.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 5361.9211, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 1618.1738, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 3271.2174, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 1744.8652, usercpu_time_millis: 2937.5, usercpu_time_millis_testing: 2906.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7559, kappa: 0.5119, kb_relative_information_score: 2907.6426, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7561, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 1744.8652, usercpu_time_millis: 2000, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8279, kappa: 0.6559, kb_relative_information_score: 4171.4572, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7396, scimark_benchmark: 1744.8652, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8219, kappa: 0.644, kb_relative_information_score: 4445.8306, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7339, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8294, kappa: 0.6589, kb_relative_information_score: 4463.052, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 1, recall: 0.8295, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6987, scimark_benchmark: 1744.8652, usercpu_time_millis: 3796.875, usercpu_time_millis_testing: 625, usercpu_time_millis_training: 3171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8211, kappa: 0.6424, kb_relative_information_score: 3653.8705, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7545, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8251, kappa: 0.6503, kb_relative_information_score: 4375.6511, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8255, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7317, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8248, kappa: 0.6497, kb_relative_information_score: 5321.92, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8249, predictive_accuracy: 0.8248, prior_entropy: 1, recall: 0.8248, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8371, scimark_benchmark: 1744.8652, usercpu_time_millis: 2593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 5361.9211, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8225, kappa: 0.645, kb_relative_information_score: 4101.0632, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8227, predictive_accuracy: 0.8225, prior_entropy: 1, recall: 0.8225, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734, scimark_benchmark: 1744.8652, usercpu_time_millis: 2281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 3271.2174, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 1744.8652, usercpu_time_millis: 2843.75, usercpu_time_millis_testing: 2828.125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7559, kappa: 0.5119, kb_relative_information_score: 2907.6426, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7561, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 1744.8652, usercpu_time_millis: 1953.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8279, kappa: 0.6559, kb_relative_information_score: 4171.4572, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7396, scimark_benchmark: 1744.8652, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8219, kappa: 0.644, kb_relative_information_score: 4445.8306, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7339, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8294, kappa: 0.6589, kb_relative_information_score: 4463.052, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 1, recall: 0.8295, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6987, scimark_benchmark: 1744.8652, usercpu_time_millis: 6906.25, usercpu_time_millis_testing: 1671.875, usercpu_time_millis_training: 5234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8211, kappa: 0.6424, kb_relative_information_score: 3653.8705, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7545, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8251, kappa: 0.6503, kb_relative_information_score: 4375.6511, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8255, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7317, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 3271.2174, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 1327.5254, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 4105.4997, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8238, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 1834.908, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7559, kappa: 0.5119, kb_relative_information_score: 2907.6426, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7561, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 1788.6668, usercpu_time_millis: 2187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8225, kappa: 0.645, kb_relative_information_score: 4101.0632, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8227, predictive_accuracy: 0.8225, prior_entropy: 1, recall: 0.8225, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734, scimark_benchmark: 1788.6668, usercpu_time_millis: 2062.5, usercpu_time_millis_training: 2062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7533, kappa: 0.5066, kb_relative_information_score: 2912.0075, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7533, predictive_accuracy: 0.7533, prior_entropy: 1, recall: 0.7533, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8136, scimark_benchmark: 1788.6668, usercpu_time_millis: 687.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8277, kappa: 0.6557, kb_relative_information_score: 4164.3679, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8293, predictive_accuracy: 0.8279, prior_entropy: 1, recall: 0.8279, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7394, scimark_benchmark: 1788.6668, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4177.4694, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7289, scimark_benchmark: 1788.6668, usercpu_time_millis: 1562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8276, kappa: 0.6553, kb_relative_information_score: 3273.6398, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8276, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.782, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8276, kappa: 0.6553, kb_relative_information_score: 5367.9213, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8303, scimark_benchmark: 1788.6668, usercpu_time_millis: 250, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 5327.9202, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8362, scimark_benchmark: 1145.9507, usercpu_time_millis: 2930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8262, kappa: 0.6527, kb_relative_information_score: 4618.3039, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8264, prior_entropy: 1, recall: 0.8264, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7065, scimark_benchmark: 1447.2612, usercpu_time_millis: 2765.625, usercpu_time_millis_testing: 2718.75, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7758, kappa: 0.5572, kb_relative_information_score: 4474.4561, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7936, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8263, scimark_benchmark: 1840.6094, usercpu_time_millis: 2343.75, usercpu_time_millis_testing: 2312.5, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7285, kappa: 0.4678, kb_relative_information_score: 3763.5063, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.755, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8855, scimark_benchmark: 1840.6094, usercpu_time_millis: 3796.875, usercpu_time_millis_testing: 3796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8061, kappa: 0.6124, kb_relative_information_score: 3700.8826, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8063, prior_entropy: 1, recall: 0.8063, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7593, scimark_benchmark: 1873.1108, usercpu_time_millis: 7468.75, usercpu_time_millis_testing: 7468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8125, kappa: 0.625, kb_relative_information_score: 4567.5235, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8125, predictive_accuracy: 0.8125, prior_entropy: 1, recall: 0.8125, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741, scimark_benchmark: 1873.1108, usercpu_time_millis: 1953.125, usercpu_time_millis_testing: 1937.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7877, kappa: 0.5755, kb_relative_information_score: 3759.5545, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7886, scimark_benchmark: 1873.1108, usercpu_time_millis: 5015.625, usercpu_time_millis_testing: 5015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8324, kappa: 0.6647, kb_relative_information_score: 5445.9235, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8326, predictive_accuracy: 0.8324, prior_entropy: 1, recall: 0.8324, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8314, kappa: 0.6628, kb_relative_information_score: 5429.923, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8317, predictive_accuracy: 0.8314, prior_entropy: 1, recall: 0.8314, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.8278, kappa: 0.6555, kb_relative_information_score: 5369.9214, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8278, predictive_accuracy: 0.8278, prior_entropy: 1, recall: 0.8278, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.415, root_relative_squared_error: 0.83, scimark_benchmark: 1779.392, usercpu_time_millis: 280.8018, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 5361.9211, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 1779.392, usercpu_time_millis: 296.4019, usercpu_time_millis_training: 296.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8237, kappa: 0.6474, kb_relative_information_score: 4458.4961, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8242, predictive_accuracy: 0.8237, prior_entropy: 1, recall: 0.8237, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7258, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8231, kappa: 0.6464, kb_relative_information_score: 4458.3851, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8238, predictive_accuracy: 0.8232, prior_entropy: 1, recall: 0.8232, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7301, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 3724.2761, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8255, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7442, scimark_benchmark: 1732.2066, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8211, kappa: 0.6424, kb_relative_information_score: 3653.8705, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7545, scimark_benchmark: 1732.2066, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8267, kappa: 0.6535, kb_relative_information_score: 4318.4866, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8272, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7278, scimark_benchmark: 1838.8826, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4381.0464, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308, scimark_benchmark: 1838.8826, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8113, kappa: 0.6225, kb_relative_information_score: 4559.7269, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8114, predictive_accuracy: 0.8113, prior_entropy: 1, recall: 0.8113, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.74, scimark_benchmark: 1838.8826, usercpu_time_millis: 2215.2142, usercpu_time_millis_testing: 514.8033, usercpu_time_millis_training: 1700.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 4463.5121, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8315, predictive_accuracy: 0.8313, prior_entropy: 1, recall: 0.8313, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6973, scimark_benchmark: 1838.8826, usercpu_time_millis: 3619.2232, usercpu_time_millis_testing: 483.6031, usercpu_time_millis_training: 3135.6201,

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