Task
Supervised Classification on fri_c2_500_50

Supervised Classification on fri_c2_500_50

Task 3783 Supervised Classification fri_c2_500_50 552 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: 0.7768, f_measure: 0.7822, kappa: 0.5504, kb_relative_information_score: 176.7777, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7825, predictive_accuracy: 0.782, prior_entropy: 0.9767, recall: 0.782, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8719, kappa: 0.735, kb_relative_information_score: 333.4719, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9767, recall: 0.872, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3798, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 192.0073, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.893, kappa: 0.7774, kb_relative_information_score: 327.9018, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8953, predictive_accuracy: 0.894, prior_entropy: 0.9767, recall: 0.894, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5829, kappa: 0.1308, kb_relative_information_score: 36.468, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.592, prior_entropy: 0.9767, recall: 0.592, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.87, kappa: 0.7311, kb_relative_information_score: 366.7927, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.721, kappa: 0.4215, kb_relative_information_score: 187.9933, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7204, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8799, kappa: 0.7516, kb_relative_information_score: 334.1202, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7418, kappa: 0.4728, kb_relative_information_score: 234.1443, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7475, predictive_accuracy: 0.74, prior_entropy: 0.9767, recall: 0.74, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8172, kappa: 0.6269, kb_relative_information_score: 187.4142, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8229, predictive_accuracy: 0.816, prior_entropy: 0.9767, recall: 0.816, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.5909, kappa: 0.1492, kb_relative_information_score: 61.0746, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5944, predictive_accuracy: 0.608, prior_entropy: 0.9767, recall: 0.608, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.8392, kappa: 0.6722, kb_relative_information_score: 190.0387, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.838, prior_entropy: 0.9767, recall: 0.838, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6765, kappa: 0.3323, kb_relative_information_score: 139.9498, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.677, predictive_accuracy: 0.676, prior_entropy: 0.9767, recall: 0.676, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8856, kappa: 0.7628, kb_relative_information_score: 335.4558, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8858, predictive_accuracy: 0.886, prior_entropy: 0.9767, recall: 0.886, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8744, kappa: 0.7386, kb_relative_information_score: 236.8643, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8779, predictive_accuracy: 0.876, prior_entropy: 0.9767, recall: 0.876, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.4379, kb_relative_information_score: -0.0991, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.3481, predictive_accuracy: 0.59, prior_entropy: 0.9767, recall: 0.59, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4919, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8856, kappa: 0.7628, kb_relative_information_score: 350.2279, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8858, predictive_accuracy: 0.886, prior_entropy: 0.9767, recall: 0.886, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8919, kappa: 0.7764, kb_relative_information_score: 347.0017, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9767, recall: 0.892, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7784, kappa: 0.5428, kb_relative_information_score: 198.1581, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7789, predictive_accuracy: 0.778, prior_entropy: 0.9767, recall: 0.778, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8287, kappa: 0.6476, kb_relative_information_score: 319.6485, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8303, predictive_accuracy: 0.828, prior_entropy: 0.9767, recall: 0.828, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7968, kappa: 0.5821, kb_relative_information_score: 286.1126, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7985, predictive_accuracy: 0.796, prior_entropy: 0.9767, recall: 0.796, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6875, kappa: 0.3532, kb_relative_information_score: 140.7214, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6871, predictive_accuracy: 0.688, prior_entropy: 0.9767, recall: 0.688, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8539, kappa: 0.698, kb_relative_information_score: 340.485, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.9767, recall: 0.854, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8004, kappa: 0.5884, kb_relative_information_score: 290.3046, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8011, predictive_accuracy: 0.8, prior_entropy: 0.9767, recall: 0.8, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7822, kappa: 0.5504, kb_relative_information_score: 177.3541, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7825, predictive_accuracy: 0.782, prior_entropy: 0.9767, recall: 0.782, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7943, kappa: 0.5726, kb_relative_information_score: 259.9093, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7948, predictive_accuracy: 0.796, prior_entropy: 0.9767, recall: 0.796, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8539, kappa: 0.698, kb_relative_information_score: 340.485, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.9767, recall: 0.854, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.8292, kappa: 0.6512, kb_relative_information_score: 205.67, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8348, predictive_accuracy: 0.828, prior_entropy: 0.9767, recall: 0.828, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8678, kappa: 0.7263, kb_relative_information_score: 210.2995, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7351, kappa: 0.4511, kb_relative_information_score: 121.9781, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7347, predictive_accuracy: 0.736, prior_entropy: 0.9767, recall: 0.736, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8169, kappa: 0.6242, kb_relative_information_score: 187.995, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8195, predictive_accuracy: 0.816, prior_entropy: 0.9767, recall: 0.816, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.8463, kappa: 0.6829, kb_relative_information_score: 338.5124, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 0.9767, recall: 0.846, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5752, kappa: 0.1463, kb_relative_information_score: 107.9531, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6228, predictive_accuracy: 0.626, prior_entropy: 0.9767, recall: 0.626, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2434, scimark_benchmark: 1280.301, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6854, kappa: 0.3536, kb_relative_information_score: 168.7369, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6878, predictive_accuracy: 0.684, prior_entropy: 0.9767, recall: 0.684, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1429, scimark_benchmark: 1280.301, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7335, kappa: 0.4481, kb_relative_information_score: 221.1368, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7331, predictive_accuracy: 0.734, prior_entropy: 0.9767, recall: 0.734, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0486, scimark_benchmark: 1461.2356, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 203.125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7231, kappa: 0.4309, kb_relative_information_score: 208.5608, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7253, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.072, scimark_benchmark: 1461.2356, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7931, kappa: 0.5758, kb_relative_information_score: 224.7663, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8301, scimark_benchmark: 1787.9841, usercpu_time_millis: 3781.25, usercpu_time_millis_training: 3781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7931, kappa: 0.5758, kb_relative_information_score: 224.7663, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8301, scimark_benchmark: 1615.4204, usercpu_time_millis: 4040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7231, kappa: 0.4309, kb_relative_information_score: 208.5608, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7253, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.072, scimark_benchmark: 1601.1851, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7335, kappa: 0.4481, kb_relative_information_score: 221.1368, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7331, predictive_accuracy: 0.734, prior_entropy: 0.9767, recall: 0.734, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0486, scimark_benchmark: 1390.9012, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5752, kappa: 0.1463, kb_relative_information_score: 107.9531, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6228, predictive_accuracy: 0.626, prior_entropy: 0.9767, recall: 0.626, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2434, scimark_benchmark: 1369.2379, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6854, kappa: 0.3536, kb_relative_information_score: 168.7369, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6878, predictive_accuracy: 0.684, prior_entropy: 0.9767, recall: 0.684, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1429, scimark_benchmark: 1518.9846, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.6877, kappa: 0.36, kb_relative_information_score: 177.9013, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6914, predictive_accuracy: 0.686, prior_entropy: 0.9767, recall: 0.686, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5457, root_relative_squared_error: 1.1096, scimark_benchmark: 1671.2677, usercpu_time_millis: 4218.75, usercpu_time_millis_training: 4218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7789, kappa: 0.5412, kb_relative_information_score: 257.316, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7787, predictive_accuracy: 0.78, prior_entropy: 0.9767, recall: 0.78, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8588, scimark_benchmark: 1729.8576, usercpu_time_millis: 6120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6917, kappa: 0.3682, kb_relative_information_score: 177.7908, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6954, predictive_accuracy: 0.69, prior_entropy: 0.9767, recall: 0.69, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.54, root_relative_squared_error: 1.0979, scimark_benchmark: 1060.9535, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 1272.1938, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7931, kappa: 0.5758, kb_relative_information_score: 226.8638, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8243, scimark_benchmark: 1264.7568, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6859, kappa: 0.3505, kb_relative_information_score: 129.2583, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6858, predictive_accuracy: 0.686, prior_entropy: 0.9767, recall: 0.686, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9366, scimark_benchmark: 1309.5926, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5802, kappa: 0.1272, kb_relative_information_score: 63.6624, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5782, predictive_accuracy: 0.584, prior_entropy: 0.9767, recall: 0.584, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.3085, scimark_benchmark: 1360.907, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8818, kappa: 0.7552, kb_relative_information_score: 353.8651, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8817, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6121, scimark_benchmark: 1111.4118, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8837, kappa: 0.7592, kb_relative_information_score: 344.5216, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8837, predictive_accuracy: 0.884, prior_entropy: 0.9767, recall: 0.884, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6444, scimark_benchmark: 647.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.6994, kappa: 0.3827, kb_relative_information_score: 183.4089, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.702, predictive_accuracy: 0.698, prior_entropy: 0.9767, recall: 0.698, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1173, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6843, kappa: 0.3712, kb_relative_information_score: 166.6409, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7069, predictive_accuracy: 0.682, prior_entropy: 0.9767, recall: 0.682, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1466, 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: 0.8765, f_measure: 0.8678, kappa: 0.7245, kb_relative_information_score: 311.0372, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8737, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.684, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8658, kappa: 0.7224, kb_relative_information_score: 211.862, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9767, recall: 0.866, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7055, scimark_benchmark: 1925.3565, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3798, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8541, kappa: 0.6984, kb_relative_information_score: 340.2573, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9767, recall: 0.854, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7605, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.6994, kappa: 0.3827, kb_relative_information_score: 183.4089, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.702, predictive_accuracy: 0.698, prior_entropy: 0.9767, recall: 0.698, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1173, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6843, kappa: 0.3712, kb_relative_information_score: 166.6409, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7069, predictive_accuracy: 0.682, prior_entropy: 0.9767, recall: 0.682, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1466, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7931, kappa: 0.5758, kb_relative_information_score: 226.8513, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8244, scimark_benchmark: 1925.3565, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6859, kappa: 0.3505, kb_relative_information_score: 129.2583, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6858, predictive_accuracy: 0.686, prior_entropy: 0.9767, recall: 0.686, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9366, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5802, kappa: 0.1272, kb_relative_information_score: 63.6624, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5782, predictive_accuracy: 0.584, prior_entropy: 0.9767, recall: 0.584, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.3085, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8818, kappa: 0.7552, kb_relative_information_score: 353.8651, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8817, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6121, scimark_benchmark: 1892.0925, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8797, kappa: 0.7509, kb_relative_information_score: 334.9881, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6632, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8678, kappa: 0.7245, kb_relative_information_score: 310.4582, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8737, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6822, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8658, kappa: 0.7224, kb_relative_information_score: 210.7768, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9767, recall: 0.866, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7081, scimark_benchmark: 1892.0925, 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: 0.7737, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3798, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8521, kappa: 0.6945, kb_relative_information_score: 338.5862, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9767, recall: 0.852, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7645, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6859, kappa: 0.3505, kb_relative_information_score: 129.2583, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6858, predictive_accuracy: 0.686, prior_entropy: 0.9767, recall: 0.686, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9366, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8719, kappa: 0.735, kb_relative_information_score: 333.4719, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9767, recall: 0.872, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6901, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7931, kappa: 0.5758, kb_relative_information_score: 226.8668, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8243, scimark_benchmark: 1834.908, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8818, kappa: 0.7552, kb_relative_information_score: 353.8651, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8817, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6121, scimark_benchmark: 1834.908, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8497, kappa: 0.6888, kb_relative_information_score: 326.856, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9767, recall: 0.85, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6363, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8796, kappa: 0.7505, kb_relative_information_score: 339.6147, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6425, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8389, kappa: 0.6698, kb_relative_information_score: 257.1154, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8422, predictive_accuracy: 0.838, prior_entropy: 0.9767, recall: 0.838, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7353, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7363, kappa: 0.4523, kb_relative_information_score: 117.2233, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7359, predictive_accuracy: 0.738, prior_entropy: 0.9767, recall: 0.738, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8979, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7985, kappa: 0.5846, kb_relative_information_score: 288.2086, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7993, predictive_accuracy: 0.798, prior_entropy: 0.9767, recall: 0.798, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9138, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6953, kappa: 0.3736, kb_relative_information_score: 179.2169, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6974, predictive_accuracy: 0.694, prior_entropy: 0.9767, recall: 0.694, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1247, scimark_benchmark: 1535.5579, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8801, kappa: 0.7523, kb_relative_information_score: 313.3785, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6168, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8094, kappa: 0.6196, kb_relative_information_score: 318.6283, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.808, prior_entropy: 0.9767, recall: 0.808, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7068, 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: 0.5764, f_measure: 0.5364, kappa: 0.1106, kb_relative_information_score: 48.3784, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5788, predictive_accuracy: 0.538, prior_entropy: 0.9767, recall: 0.538, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.567, root_relative_squared_error: 1.1529, 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: 0.7075, f_measure: 0.6678, kappa: 0.3102, kb_relative_information_score: 74.148, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6669, predictive_accuracy: 0.67, prior_entropy: 0.9767, recall: 0.67, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9389, scimark_benchmark: 1873.1108, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8757, kappa: 0.7425, kb_relative_information_score: 326.2318, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8757, predictive_accuracy: 0.876, prior_entropy: 0.9767, recall: 0.876, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6328, 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: 0.6165, f_measure: 0.5829, kappa: 0.1308, kb_relative_information_score: 51.3152, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.592, prior_entropy: 0.9767, recall: 0.592, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0213, 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: 0.8237, f_measure: 0.8391, kappa: 0.6647, kb_relative_information_score: 334.3205, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.845, predictive_accuracy: 0.842, prior_entropy: 0.9767, recall: 0.842, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.7225, kappa: 0.4275, kb_relative_information_score: 208.5608, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7231, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7929, kappa: 0.5745, kb_relative_information_score: 281.9206, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7951, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9273, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6843, kappa: 0.3712, kb_relative_information_score: 166.6409, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7069, predictive_accuracy: 0.682, prior_entropy: 0.9767, recall: 0.682, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1466, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8739, kappa: 0.7374, kb_relative_information_score: 327.6321, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.876, prior_entropy: 0.9767, recall: 0.876, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6589, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8741, kappa: 0.7378, kb_relative_information_score: 317.3685, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.879, predictive_accuracy: 0.876, prior_entropy: 0.9767, recall: 0.876, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6686, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.8035, kappa: 0.6, kb_relative_information_score: 184.7457, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8111, predictive_accuracy: 0.802, prior_entropy: 0.9767, recall: 0.802, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8671, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3798, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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