Task
Supervised Classification on fri_c4_500_50

Supervised Classification on fri_c4_500_50

Task 3670 Supervised Classification fri_c4_500_50 568 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: 0.6703, f_measure: 0.6243, kappa: 0.248, kb_relative_information_score: 68.3617, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6256, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.825, kappa: 0.6488, kb_relative_information_score: 278.508, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8288, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6281, kappa: 0.2543, kb_relative_information_score: 77.993, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6284, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8497, kappa: 0.6983, kb_relative_information_score: 261.9717, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9978, recall: 0.85, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6281, kappa: 0.2543, kb_relative_information_score: 80.8088, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6284, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5818, kappa: 0.1608, kb_relative_information_score: 51.226, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5817, predictive_accuracy: 0.582, prior_entropy: 0.9978, recall: 0.582, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 347.574, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 98.4458, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8641, kappa: 0.7274, kb_relative_information_score: 329.1342, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9978, recall: 0.864, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7122, kappa: 0.4237, kb_relative_information_score: 212.6128, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7133, predictive_accuracy: 0.712, prior_entropy: 0.9978, recall: 0.712, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6755, kappa: 0.3485, kb_relative_information_score: 79.2885, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6756, predictive_accuracy: 0.676, prior_entropy: 0.9978, recall: 0.676, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6175, kappa: 0.2446, kb_relative_information_score: 16.3945, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6369, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.5582, kappa: 0.1178, kb_relative_information_score: 36.6177, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5608, predictive_accuracy: 0.558, prior_entropy: 0.9978, recall: 0.558, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6001, kappa: 0.2021, kb_relative_information_score: 81.0564, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6034, predictive_accuracy: 0.6, prior_entropy: 0.9978, recall: 0.6, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.864, kappa: 0.727, kb_relative_information_score: 297.4364, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9978, recall: 0.864, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.81, kappa: 0.6189, kb_relative_information_score: 150.849, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9978, recall: 0.81, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3649, kb_relative_information_score: -0.0369, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.2788, predictive_accuracy: 0.528, prior_entropy: 0.9978, recall: 0.528, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7382, kappa: 0.4756, kb_relative_information_score: 176.5013, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7391, predictive_accuracy: 0.738, prior_entropy: 0.9978, recall: 0.738, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8017, kappa: 0.6019, kb_relative_information_score: 254.0134, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.802, predictive_accuracy: 0.802, prior_entropy: 0.9978, recall: 0.802, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.878, kappa: 0.7552, kb_relative_information_score: 349.8225, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9978, recall: 0.878, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6634, kappa: 0.3241, kb_relative_information_score: 162.478, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.9978, recall: 0.664, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8099, kappa: 0.6185, kb_relative_information_score: 301.9362, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9978, recall: 0.81, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6321, kappa: 0.262, kb_relative_information_score: 80.8803, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6172, kappa: 0.2314, kb_relative_information_score: 92.9826, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6172, predictive_accuracy: 0.618, prior_entropy: 0.9978, recall: 0.618, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6782, kappa: 0.355, kb_relative_information_score: 95.4394, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6786, predictive_accuracy: 0.678, prior_entropy: 0.9978, recall: 0.678, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.6571, kappa: 0.3115, kb_relative_information_score: 156.4509, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6574, predictive_accuracy: 0.658, prior_entropy: 0.9978, recall: 0.658, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 167.4083, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6363, kappa: 0.2715, kb_relative_information_score: 138.3699, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6402, predictive_accuracy: 0.64, prior_entropy: 0.9978, recall: 0.64, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7518, kappa: 0.5018, kb_relative_information_score: 227.1785, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9978, recall: 0.752, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8099, kappa: 0.6185, kb_relative_information_score: 301.9362, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9978, recall: 0.81, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6183, kappa: 0.2358, kb_relative_information_score: 71.8446, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6194, predictive_accuracy: 0.618, prior_entropy: 0.9978, recall: 0.618, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6321, kappa: 0.262, kb_relative_information_score: 80.8803, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6126, kappa: 0.2223, kb_relative_information_score: 47.9191, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.613, predictive_accuracy: 0.614, prior_entropy: 0.9978, recall: 0.614, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.77, kappa: 0.5415, kb_relative_information_score: 152.5428, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7751, predictive_accuracy: 0.77, prior_entropy: 0.9978, recall: 0.77, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7882, kappa: 0.5756, kb_relative_information_score: 287.0363, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7889, predictive_accuracy: 0.788, prior_entropy: 0.9978, recall: 0.788, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6956, kappa: 0.4023, kb_relative_information_score: 196.6311, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7145, predictive_accuracy: 0.698, prior_entropy: 0.9978, recall: 0.698, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8518, kappa: 0.7024, kb_relative_information_score: 351.3245, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8495, kappa: 0.6978, kb_relative_information_score: 349.3155, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9978, recall: 0.85, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8536, kappa: 0.7061, kb_relative_information_score: 353.3335, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8548, predictive_accuracy: 0.854, prior_entropy: 0.9978, recall: 0.854, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5689, kappa: 0.1501, kb_relative_information_score: 82.1177, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5853, predictive_accuracy: 0.584, prior_entropy: 0.9978, recall: 0.584, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.645, root_relative_squared_error: 1.292, scimark_benchmark: 1631.1992, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6031, kappa: 0.203, kb_relative_information_score: 102.2078, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6031, predictive_accuracy: 0.604, prior_entropy: 0.9978, recall: 0.604, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2605, scimark_benchmark: 1697.6783, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.609, kappa: 0.2159, kb_relative_information_score: 110.2438, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.611, predictive_accuracy: 0.612, prior_entropy: 0.9978, recall: 0.612, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2478, scimark_benchmark: 1862.8608, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6031, kappa: 0.203, kb_relative_information_score: 102.2078, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6031, predictive_accuracy: 0.604, prior_entropy: 0.9978, recall: 0.604, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2605, scimark_benchmark: 1621.4764, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.609, kappa: 0.2159, kb_relative_information_score: 110.2438, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.611, predictive_accuracy: 0.612, prior_entropy: 0.9978, recall: 0.612, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2478, scimark_benchmark: 1344.3888, usercpu_time_millis: 250, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5689, kappa: 0.1501, kb_relative_information_score: 82.1177, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5853, predictive_accuracy: 0.584, prior_entropy: 0.9978, recall: 0.584, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.645, root_relative_squared_error: 1.292, scimark_benchmark: 1404.7953, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.5722, kappa: 0.1455, kb_relative_information_score: 54.7272, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5747, predictive_accuracy: 0.572, prior_entropy: 0.9978, recall: 0.572, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.0987, scimark_benchmark: 1908.2191, usercpu_time_millis: 4281.25, usercpu_time_millis_training: 4281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6261, kappa: 0.2502, kb_relative_information_score: 123.7372, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6263, predictive_accuracy: 0.626, prior_entropy: 0.9978, recall: 0.626, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.209, scimark_benchmark: 1908.2191, usercpu_time_millis: 5000, usercpu_time_millis_training: 5000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.6179, kappa: 0.2331, kb_relative_information_score: 116.2708, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6178, predictive_accuracy: 0.618, prior_entropy: 0.9978, recall: 0.618, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2381, scimark_benchmark: 1827.4462, usercpu_time_millis: 250, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6154, kappa: 0.2278, kb_relative_information_score: 106.799, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6153, predictive_accuracy: 0.616, prior_entropy: 0.9978, recall: 0.616, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1438, scimark_benchmark: 1524.7987, usercpu_time_millis: 6960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6281, kappa: 0.254, kb_relative_information_score: 118.2433, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6282, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5951, root_relative_squared_error: 1.1921, scimark_benchmark: 1760.5198, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6281, kappa: 0.254, kb_relative_information_score: 118.2433, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6282, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5951, root_relative_squared_error: 1.1921, scimark_benchmark: 1837.4108, usercpu_time_millis: 468.75, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6321, kappa: 0.262, kb_relative_information_score: 80.8803, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775, scimark_benchmark: 1295.1893, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5842, kappa: 0.1699, kb_relative_information_score: 62.2968, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.587, predictive_accuracy: 0.584, prior_entropy: 0.9978, recall: 0.584, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0863, scimark_benchmark: 1160.5744, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.614, kappa: 0.2254, kb_relative_information_score: 112.2528, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6139, predictive_accuracy: 0.614, prior_entropy: 0.9978, recall: 0.614, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2445, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5679, kappa: 0.1556, kb_relative_information_score: 86.1357, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5926, predictive_accuracy: 0.588, prior_entropy: 0.9978, recall: 0.588, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2858, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 93.624, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9722, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5402, kappa: 0.0816, kb_relative_information_score: 37.7915, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5426, predictive_accuracy: 0.54, prior_entropy: 0.9978, recall: 0.54, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3556, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8921, kappa: 0.7836, kb_relative_information_score: 341.9404, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9978, recall: 0.892, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5874, scimark_benchmark: 1744.8652, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.816, kappa: 0.6308, kb_relative_information_score: 266.6836, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9978, recall: 0.816, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7869, 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: 0.8762, f_measure: 0.8456, kappa: 0.69, kb_relative_information_score: 292.6592, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7194, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.844, kappa: 0.6869, kb_relative_information_score: 166.1247, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9978, recall: 0.844, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7658, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6281, kappa: 0.2543, kb_relative_information_score: 80.8088, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6284, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.816, kappa: 0.6308, kb_relative_information_score: 307.3542, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9978, recall: 0.816, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8467, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6321, kappa: 0.262, kb_relative_information_score: 80.8803, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.612, kappa: 0.2216, kb_relative_information_score: 110.2438, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.612, predictive_accuracy: 0.612, prior_entropy: 0.9978, recall: 0.612, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2478, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5679, kappa: 0.1556, kb_relative_information_score: 86.1357, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5926, predictive_accuracy: 0.588, prior_entropy: 0.9978, recall: 0.588, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2858, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.5882, kappa: 0.1778, kb_relative_information_score: 65.4155, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.591, predictive_accuracy: 0.588, prior_entropy: 0.9978, recall: 0.588, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.0815, scimark_benchmark: 1744.8652, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 93.624, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9722, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5402, kappa: 0.0816, kb_relative_information_score: 37.7915, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5426, predictive_accuracy: 0.54, prior_entropy: 0.9978, recall: 0.54, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3556, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8921, kappa: 0.7836, kb_relative_information_score: 341.9404, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9978, recall: 0.892, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5874, scimark_benchmark: 1744.8652, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 546.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8456, kappa: 0.69, kb_relative_information_score: 292.6592, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7194, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.842, kappa: 0.6831, kb_relative_information_score: 163.2954, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9978, recall: 0.842, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7687, scimark_benchmark: 1744.8652, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6281, kappa: 0.2543, kb_relative_information_score: 80.8088, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6284, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.818, kappa: 0.6348, kb_relative_information_score: 309.3632, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.818, prior_entropy: 0.9978, recall: 0.818, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8419, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 93.624, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9722, scimark_benchmark: 1327.5254, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8921, kappa: 0.7836, kb_relative_information_score: 341.9404, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9978, recall: 0.892, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5874, scimark_benchmark: 1788.6668, usercpu_time_millis: 609.375, usercpu_time_millis_training: 609.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.888, kappa: 0.7755, kb_relative_information_score: 345.9838, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9978, recall: 0.888, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5824, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8393, kappa: 0.6774, kb_relative_information_score: 297.1193, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8419, predictive_accuracy: 0.84, prior_entropy: 0.9978, recall: 0.84, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7387, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6761, kappa: 0.3505, kb_relative_information_score: 83.6262, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6763, predictive_accuracy: 0.676, prior_entropy: 0.9978, recall: 0.676, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9445, 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: 0.7092, f_measure: 0.6606, kappa: 0.3187, kb_relative_information_score: 79.0278, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6615, predictive_accuracy: 0.662, prior_entropy: 0.9978, recall: 0.662, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9328, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6634, kappa: 0.3241, kb_relative_information_score: 162.478, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.9978, recall: 0.664, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1611, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.614, kappa: 0.2257, kb_relative_information_score: 112.2528, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6141, predictive_accuracy: 0.614, prior_entropy: 0.9978, recall: 0.614, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2445, scimark_benchmark: 1487.6219, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.825, kappa: 0.6488, kb_relative_information_score: 278.508, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8288, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7743, scimark_benchmark: 932.9279, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8801, kappa: 0.7598, kb_relative_information_score: 333.4548, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8809, predictive_accuracy: 0.88, prior_entropy: 0.9978, recall: 0.88, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5802, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8598, kappa: 0.7214, kb_relative_information_score: 356.7817, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8687, predictive_accuracy: 0.86, prior_entropy: 0.9978, recall: 0.86, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6517, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.4924, kappa: 0.0835, kb_relative_information_score: 49.8361, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5637, predictive_accuracy: 0.528, prior_entropy: 0.9978, recall: 0.528, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1306, scimark_benchmark: 1840.6094, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5516, kappa: 0.1336, kb_relative_information_score: 31.6752, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5763, predictive_accuracy: 0.56, prior_entropy: 0.9978, recall: 0.56, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9981, scimark_benchmark: 1873.1108, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.878, kappa: 0.7552, kb_relative_information_score: 349.8225, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9978, recall: 0.878, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5852, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.5818, kappa: 0.1608, kb_relative_information_score: 39.8785, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5817, predictive_accuracy: 0.582, prior_entropy: 0.9978, recall: 0.582, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0301, scimark_benchmark: 1873.1108, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8618, kappa: 0.7224, kb_relative_information_score: 361.3696, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8624, predictive_accuracy: 0.862, prior_entropy: 0.9978, recall: 0.862, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7799, kappa: 0.5584, kb_relative_information_score: 279.0003, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9978, recall: 0.78, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6703, kappa: 0.3384, kb_relative_information_score: 170.514, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6718, predictive_accuracy: 0.672, prior_entropy: 0.9978, recall: 0.672, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1472, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5679, kappa: 0.1556, kb_relative_information_score: 86.1357, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5926, predictive_accuracy: 0.588, prior_entropy: 0.9978, recall: 0.588, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2858, 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: 0.8369, f_measure: 0.8379, kappa: 0.6746, kb_relative_information_score: 337.2615, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9978, recall: 0.838, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8379, kappa: 0.6746, kb_relative_information_score: 294.3688, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9978, recall: 0.838, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7176, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8456, kappa: 0.69, kb_relative_information_score: 292.359, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7212, scimark_benchmark: 1779.392,

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