Task
Supervised Classification on fri_c1_1000_25

Supervised Classification on fri_c1_1000_25

Task 3780 Supervised Classification fri_c1_1000_25 419 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: 0.7108, f_measure: 0.6429, kappa: 0.2782, kb_relative_information_score: 179.8858, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6432, predictive_accuracy: 0.645, prior_entropy: 0.9939, recall: 0.645, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8554, kappa: 0.7078, kb_relative_information_score: 640.6868, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 0.9939, recall: 0.856, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6453, kappa: 0.2831, kb_relative_information_score: 184.2131, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6454, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6453, kappa: 0.2831, kb_relative_information_score: 164.2195, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6454, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8737, kappa: 0.7449, kb_relative_information_score: 639.7202, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8797, predictive_accuracy: 0.875, prior_entropy: 0.9939, recall: 0.875, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.6198, kappa: 0.2316, kb_relative_information_score: 157.5174, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6199, predictive_accuracy: 0.622, prior_entropy: 0.9939, recall: 0.622, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8898, kappa: 0.7775, kb_relative_information_score: 776.9583, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9939, recall: 0.89, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6318, kappa: 0.2559, kb_relative_information_score: 198.5909, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6328, predictive_accuracy: 0.635, prior_entropy: 0.9939, recall: 0.635, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.885, kappa: 0.7679, kb_relative_information_score: 653.295, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 0.9939, recall: 0.885, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7443, kappa: 0.4852, kb_relative_information_score: 487.6893, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.744, prior_entropy: 0.9939, recall: 0.744, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.637, kappa: 0.2666, kb_relative_information_score: 167.1474, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6367, predictive_accuracy: 0.638, prior_entropy: 0.9939, recall: 0.638, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.626, kappa: 0.244, kb_relative_information_score: 149.9417, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.626, predictive_accuracy: 0.628, prior_entropy: 0.9939, recall: 0.628, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.7255, kappa: 0.4451, kb_relative_information_score: 97.8666, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.727, prior_entropy: 0.9939, recall: 0.727, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.6322, kappa: 0.2571, kb_relative_information_score: 258.5225, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6319, predictive_accuracy: 0.633, prior_entropy: 0.9939, recall: 0.633, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8736, kappa: 0.7446, kb_relative_information_score: 679.5273, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8744, predictive_accuracy: 0.874, prior_entropy: 0.9939, recall: 0.874, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8704, kappa: 0.7381, kb_relative_information_score: 487.0975, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.871, prior_entropy: 0.9939, recall: 0.871, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.3857, kb_relative_information_score: -0.0312, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.2981, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8208, kappa: 0.6382, kb_relative_information_score: 585.194, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8208, predictive_accuracy: 0.821, prior_entropy: 0.9939, recall: 0.821, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.754, kappa: 0.5036, kb_relative_information_score: 363.8707, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.754, prior_entropy: 0.9939, recall: 0.754, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8771, kappa: 0.7521, kb_relative_information_score: 696.6049, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8772, predictive_accuracy: 0.877, prior_entropy: 0.9939, recall: 0.877, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6519, kappa: 0.2966, kb_relative_information_score: 297.4591, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6517, predictive_accuracy: 0.653, prior_entropy: 0.9939, recall: 0.653, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.6401, kappa: 0.2725, kb_relative_information_score: 178.995, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6402, predictive_accuracy: 0.642, prior_entropy: 0.9939, recall: 0.642, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.87, kappa: 0.7379, kb_relative_information_score: 721.3256, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9939, recall: 0.87, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6387, kappa: 0.2698, kb_relative_information_score: 187.7204, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6391, predictive_accuracy: 0.641, prior_entropy: 0.9939, recall: 0.641, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6425, kappa: 0.2774, kb_relative_information_score: 148.6381, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6431, predictive_accuracy: 0.645, prior_entropy: 0.9939, recall: 0.645, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7095, kappa: 0.4133, kb_relative_information_score: 412.8581, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.7094, predictive_accuracy: 0.71, prior_entropy: 0.9939, recall: 0.71, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6552, kappa: 0.3031, kb_relative_information_score: 192.155, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6554, predictive_accuracy: 0.657, prior_entropy: 0.9939, recall: 0.657, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.87, kappa: 0.7379, kb_relative_information_score: 721.3256, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9939, recall: 0.87, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.6396, kappa: 0.2725, kb_relative_information_score: 271.1401, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9939, recall: 0.64, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8947, kappa: 0.7872, kb_relative_information_score: 518.483, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8955, predictive_accuracy: 0.895, prior_entropy: 0.9939, recall: 0.895, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8018, kappa: 0.5997, kb_relative_information_score: 543.6264, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8017, predictive_accuracy: 0.802, prior_entropy: 0.9939, recall: 0.802, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6387, kappa: 0.2698, kb_relative_information_score: 187.7204, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6391, predictive_accuracy: 0.641, prior_entropy: 0.9939, recall: 0.641, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6655, kappa: 0.3239, kb_relative_information_score: 163.5371, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6656, predictive_accuracy: 0.667, prior_entropy: 0.9939, recall: 0.667, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8372, kappa: 0.672, kb_relative_information_score: 468.2333, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8376, predictive_accuracy: 0.837, prior_entropy: 0.9939, recall: 0.837, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8598, kappa: 0.7169, kb_relative_information_score: 716.5395, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9939, recall: 0.86, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6592, kappa: 0.3121, kb_relative_information_score: 319.7291, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6632, predictive_accuracy: 0.664, prior_entropy: 0.9939, recall: 0.664, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1642, scimark_benchmark: 1280.301, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.642, kappa: 0.2763, kb_relative_information_score: 279.2383, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6422, predictive_accuracy: 0.644, prior_entropy: 0.9939, recall: 0.644, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1984, scimark_benchmark: 1280.301, usercpu_time_millis: 484.375, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6668, kappa: 0.3266, kb_relative_information_score: 327.8273, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6667, predictive_accuracy: 0.668, prior_entropy: 0.9939, recall: 0.668, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1573, scimark_benchmark: 1461.2356, usercpu_time_millis: 656.25, usercpu_time_millis_testing: 234.375, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6336, kappa: 0.2595, kb_relative_information_score: 261.0174, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6334, predictive_accuracy: 0.635, prior_entropy: 0.9939, recall: 0.635, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2135, scimark_benchmark: 1461.2356, usercpu_time_millis: 484.375, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6178, kappa: 0.2353, kb_relative_information_score: 137.8626, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6223, predictive_accuracy: 0.617, prior_entropy: 0.9939, recall: 0.617, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0118, scimark_benchmark: 1787.9841, usercpu_time_millis: 4515.625, usercpu_time_millis_training: 4515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6178, kappa: 0.2353, kb_relative_information_score: 137.8626, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6223, predictive_accuracy: 0.617, prior_entropy: 0.9939, recall: 0.617, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0118, scimark_benchmark: 1388.3192, usercpu_time_millis: 5580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6336, kappa: 0.2595, kb_relative_information_score: 261.0174, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6334, predictive_accuracy: 0.635, prior_entropy: 0.9939, recall: 0.635, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2135, scimark_benchmark: 1354.5207, usercpu_time_millis: 460, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6668, kappa: 0.3266, kb_relative_information_score: 327.8273, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6667, predictive_accuracy: 0.668, prior_entropy: 0.9939, recall: 0.668, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1573, scimark_benchmark: 1369.5496, usercpu_time_millis: 460, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6592, kappa: 0.3121, kb_relative_information_score: 319.7291, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6632, predictive_accuracy: 0.664, prior_entropy: 0.9939, recall: 0.664, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1642, scimark_benchmark: 1370.7456, usercpu_time_millis: 410, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.642, kappa: 0.2763, kb_relative_information_score: 279.2383, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6422, predictive_accuracy: 0.644, prior_entropy: 0.9939, recall: 0.644, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1984, scimark_benchmark: 1502.6432, usercpu_time_millis: 350, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6411, kappa: 0.276, kb_relative_information_score: 206.6904, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6458, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9547, scimark_benchmark: 1671.2677, usercpu_time_millis: 4828.125, usercpu_time_millis_training: 4828.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6387, kappa: 0.2698, kb_relative_information_score: 187.7204, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6391, predictive_accuracy: 0.641, prior_entropy: 0.9939, recall: 0.641, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9343, scimark_benchmark: 1138.8808, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6158, kappa: 0.2307, kb_relative_information_score: 134.9826, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6198, predictive_accuracy: 0.615, prior_entropy: 0.9939, recall: 0.615, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0071, scimark_benchmark: 1292.3218, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6559, kappa: 0.3045, kb_relative_information_score: 182.3774, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6564, predictive_accuracy: 0.658, prior_entropy: 0.9939, recall: 0.658, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9299, scimark_benchmark: 1333.5674, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.598, kappa: 0.188, kb_relative_information_score: 187.8149, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.5976, predictive_accuracy: 0.599, prior_entropy: 0.9939, recall: 0.599, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2705, scimark_benchmark: 1286.8813, usercpu_time_millis: 290, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.907, kappa: 0.8124, kb_relative_information_score: 724.7407, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.907, predictive_accuracy: 0.907, prior_entropy: 0.9939, recall: 0.907, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5352, scimark_benchmark: 1076.8758, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8616, kappa: 0.7205, kb_relative_information_score: 636.936, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9939, recall: 0.862, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6901, scimark_benchmark: 458.1995, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6446, kappa: 0.2817, kb_relative_information_score: 285.3119, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6452, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1933, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.6469, kappa: 0.2866, kb_relative_information_score: 293.4101, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6494, predictive_accuracy: 0.651, prior_entropy: 0.9939, recall: 0.651, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.1866, 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: 0.9186, f_measure: 0.8663, kappa: 0.7298, kb_relative_information_score: 650.856, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8683, predictive_accuracy: 0.867, prior_entropy: 0.9939, recall: 0.867, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6525, 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: 0.9616, f_measure: 0.8887, kappa: 0.7751, kb_relative_information_score: 517.4465, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8894, predictive_accuracy: 0.889, prior_entropy: 0.9939, recall: 0.889, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6289, scimark_benchmark: 1925.3565, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6453, kappa: 0.2831, kb_relative_information_score: 184.2131, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6454, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.941, scimark_benchmark: 1925.3565, 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: 0.8798, f_measure: 0.869, kappa: 0.7358, kb_relative_information_score: 719.0773, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.869, predictive_accuracy: 0.869, prior_entropy: 0.9939, recall: 0.869, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6958, 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: 0.714, f_measure: 0.6387, kappa: 0.2698, kb_relative_information_score: 187.7204, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6391, predictive_accuracy: 0.641, prior_entropy: 0.9939, recall: 0.641, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9343, 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: 0.6396, f_measure: 0.6446, kappa: 0.2817, kb_relative_information_score: 285.3119, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6452, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1933, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.6469, kappa: 0.2866, kb_relative_information_score: 293.4101, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6494, predictive_accuracy: 0.651, prior_entropy: 0.9939, recall: 0.651, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.1866, 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: 0.6324, f_measure: 0.6158, kappa: 0.2307, kb_relative_information_score: 134.9848, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6198, predictive_accuracy: 0.615, prior_entropy: 0.9939, recall: 0.615, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0071, scimark_benchmark: 1925.3565, usercpu_time_millis: 421.875, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6559, kappa: 0.3045, kb_relative_information_score: 182.3774, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6564, predictive_accuracy: 0.658, prior_entropy: 0.9939, recall: 0.658, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9299, 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: 0.5936, f_measure: 0.598, kappa: 0.188, kb_relative_information_score: 187.8149, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.5976, predictive_accuracy: 0.599, prior_entropy: 0.9939, recall: 0.599, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2705, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8653, kappa: 0.7277, kb_relative_information_score: 649.4319, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8674, predictive_accuracy: 0.866, prior_entropy: 0.9939, recall: 0.866, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.651, 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: 0.9628, f_measure: 0.8826, kappa: 0.7627, kb_relative_information_score: 520.9171, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8837, predictive_accuracy: 0.883, prior_entropy: 0.9939, recall: 0.883, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6254, scimark_benchmark: 1892.0925, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6453, kappa: 0.2831, kb_relative_information_score: 184.2131, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6454, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.941, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6559, kappa: 0.3045, kb_relative_information_score: 182.3774, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6564, predictive_accuracy: 0.658, prior_entropy: 0.9939, recall: 0.658, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9299, 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: 0.8898, f_measure: 0.8554, kappa: 0.7078, kb_relative_information_score: 640.6868, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 0.9939, recall: 0.856, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6995, scimark_benchmark: 1834.908, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6158, kappa: 0.2307, kb_relative_information_score: 134.983, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6198, predictive_accuracy: 0.615, prior_entropy: 0.9939, recall: 0.615, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0071, scimark_benchmark: 1834.908, usercpu_time_millis: 421.875, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.907, kappa: 0.8124, kb_relative_information_score: 724.7407, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.907, predictive_accuracy: 0.907, prior_entropy: 0.9939, recall: 0.907, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5352, scimark_benchmark: 1834.908, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.907, kappa: 0.8124, kb_relative_information_score: 724.7407, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.907, predictive_accuracy: 0.907, prior_entropy: 0.9939, recall: 0.907, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5352, scimark_benchmark: 1788.6668, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8849, kappa: 0.7677, kb_relative_information_score: 699.828, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.9939, recall: 0.885, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5662, 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: 0.8994, f_measure: 0.8844, kappa: 0.7664, kb_relative_information_score: 691.2069, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8864, predictive_accuracy: 0.885, prior_entropy: 0.9939, recall: 0.885, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.637, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.6362, kappa: 0.2652, kb_relative_information_score: 153.9137, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6359, predictive_accuracy: 0.637, prior_entropy: 0.9939, recall: 0.637, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9408, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.628, kappa: 0.2481, kb_relative_information_score: 163.6334, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6281, predictive_accuracy: 0.63, prior_entropy: 0.9939, recall: 0.63, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9294, 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: 0.6286, f_measure: 0.633, kappa: 0.2584, kb_relative_information_score: 258.9928, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6327, predictive_accuracy: 0.634, prior_entropy: 0.9939, recall: 0.634, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2151, 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: 0.6374, f_measure: 0.6425, kappa: 0.2774, kb_relative_information_score: 281.2628, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6431, predictive_accuracy: 0.645, prior_entropy: 0.9939, recall: 0.645, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.1967, scimark_benchmark: 966.464, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6559, kappa: 0.3045, kb_relative_information_score: 182.3774, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6564, predictive_accuracy: 0.658, prior_entropy: 0.9939, recall: 0.658, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9299, scimark_benchmark: 1097.5263, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8773, kappa: 0.7541, kb_relative_information_score: 643.5527, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8817, predictive_accuracy: 0.877, prior_entropy: 0.9939, recall: 0.877, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5766, scimark_benchmark: 1447.2612, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.854, kappa: 0.7105, kb_relative_information_score: 711.8643, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8686, predictive_accuracy: 0.854, prior_entropy: 0.9939, recall: 0.854, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6302, scimark_benchmark: 1840.6094, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5706, kappa: 0.1864, kb_relative_information_score: 160.6094, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6149, predictive_accuracy: 0.581, prior_entropy: 0.9939, recall: 0.581, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1084, scimark_benchmark: 1840.6094, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6317, kappa: 0.2597, kb_relative_information_score: 142.4157, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6334, predictive_accuracy: 0.631, prior_entropy: 0.9939, recall: 0.631, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9525, scimark_benchmark: 1873.1108, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8861, kappa: 0.7706, kb_relative_information_score: 677.8306, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9939, recall: 0.886, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.578, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6198, kappa: 0.2316, kb_relative_information_score: 145.6791, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6199, predictive_accuracy: 0.622, prior_entropy: 0.9939, recall: 0.622, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.998, scimark_benchmark: 1873.1108, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8808, kappa: 0.7593, kb_relative_information_score: 759.0549, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.881, predictive_accuracy: 0.881, prior_entropy: 0.9939, recall: 0.881, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6348, kappa: 0.2634, kb_relative_information_score: 273.1646, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6396, predictive_accuracy: 0.641, prior_entropy: 0.9939, recall: 0.641, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5992, root_relative_squared_error: 1.2034, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.6469, kappa: 0.2866, kb_relative_information_score: 293.4101, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6494, predictive_accuracy: 0.651, prior_entropy: 0.9939, recall: 0.651, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.1866, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8707, kappa: 0.7388, kb_relative_information_score: 675.8449, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8712, predictive_accuracy: 0.871, prior_entropy: 0.9939, recall: 0.871, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6404, 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: 0.918, f_measure: 0.8654, kappa: 0.728, kb_relative_information_score: 646.1384, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.8669, predictive_accuracy: 0.866, prior_entropy: 0.9939, recall: 0.866, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6559, 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: 0.7062, f_measure: 0.6471, kappa: 0.2871, kb_relative_information_score: 172.5993, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9939, recall: 0.648, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9404, 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: 0.7082, f_measure: 0.6453, kappa: 0.2831, kb_relative_information_score: 184.2131, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.6454, predictive_accuracy: 0.647, prior_entropy: 0.9939, recall: 0.647, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.941, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7871, kappa: 0.5708, kb_relative_information_score: 568.7479, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.787, prior_entropy: 0.9939, recall: 0.787, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.927,

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