Task
Supervised Classification on triazines

Supervised Classification on triazines

Task 3653 Supervised Classification triazines 581 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7829, kappa: 0.5499, kb_relative_information_score: 92.1578, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7838, predictive_accuracy: 0.7849, prior_entropy: 0.979, recall: 0.7849, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.559, kappa: 0.1022, kb_relative_information_score: 7.6033, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5782, predictive_accuracy: 0.5968, prior_entropy: 0.979, recall: 0.5968, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7378, kappa: 0.4557, kb_relative_information_score: 49.3733, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7401, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7185, kappa: 0.4171, kb_relative_information_score: 77.4299, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7181, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7097, kappa: 0.4016, kb_relative_information_score: 48.6768, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.6967, kappa: 0.3702, kb_relative_information_score: 54.8442, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7015, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.5267, kappa: 0.1957, kb_relative_information_score: 6.2159, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6858, predictive_accuracy: 0.5591, prior_entropy: 0.979, recall: 0.5591, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7587, kappa: 0.5042, kb_relative_information_score: 69.9475, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7597, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.5395, kappa: 0.1818, kb_relative_information_score: 13.1445, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6475, predictive_accuracy: 0.5591, prior_entropy: 0.979, recall: 0.5591, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7866, kappa: 0.5569, kb_relative_information_score: 80.2115, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.791, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5662, kappa: 0.1464, kb_relative_information_score: 9.7773, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5921, predictive_accuracy: 0.5645, prior_entropy: 0.979, recall: 0.5645, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6174, root_relative_squared_error: 1.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7159, kappa: 0.4103, kb_relative_information_score: 52.508, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7681, kappa: 0.5208, kb_relative_information_score: 100.1193, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7678, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.6999, kappa: 0.3842, kb_relative_information_score: 62.4743, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7016, predictive_accuracy: 0.6989, prior_entropy: 0.979, recall: 0.6989, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7967, kappa: 0.5779, kb_relative_information_score: 85.2549, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8037, predictive_accuracy: 0.8011, prior_entropy: 0.979, recall: 0.8011, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7297, kappa: 0.4389, kb_relative_information_score: 73.1463, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7361, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7647, kappa: 0.5114, kb_relative_information_score: 78.4955, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7685, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6714, kappa: 0.3361, kb_relative_information_score: 24.4718, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.738, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7209, kappa: 0.426, kb_relative_information_score: 47.1435, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7216, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7077, kappa: 0.3947, kb_relative_information_score: 71.7213, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7072, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7931, kappa: 0.5708, kb_relative_information_score: 85.7511, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7953, predictive_accuracy: 0.7957, prior_entropy: 0.979, recall: 0.7957, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7679, kappa: 0.5181, kb_relative_information_score: 55.0312, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7774, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.4331, kb_relative_information_score: -0.0699, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7064, kappa: 0.3907, kb_relative_information_score: 55.6698, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7138, predictive_accuracy: 0.7151, prior_entropy: 0.979, recall: 0.7151, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7211, kappa: 0.4217, kb_relative_information_score: 69.902, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7336, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.788, kappa: 0.5603, kb_relative_information_score: 75.8067, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7895, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.784, kappa: 0.5516, kb_relative_information_score: 90.225, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7959, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7008, kappa: 0.4045, kb_relative_information_score: 65.7358, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7224, predictive_accuracy: 0.6989, prior_entropy: 0.979, recall: 0.6989, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6918, kappa: 0.3623, kb_relative_information_score: 56.6749, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6912, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7165, kappa: 0.4205, kb_relative_information_score: 65.8059, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.72, predictive_accuracy: 0.7151, prior_entropy: 0.979, recall: 0.7151, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6957, kappa: 0.3704, kb_relative_information_score: 73.2574, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7127, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.7295, kappa: 0.4442, kb_relative_information_score: 87.861, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7691, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.5623, kappa: 0.1059, kb_relative_information_score: 29.4466, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5786, predictive_accuracy: 0.5968, prior_entropy: 0.979, recall: 0.5968, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.784, kappa: 0.5516, kb_relative_information_score: 90.225, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7959, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6844, kappa: 0.376, kb_relative_information_score: 55.2542, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7109, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7436, kappa: 0.4781, kb_relative_information_score: 82.7347, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7495, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6954, kappa: 0.3949, kb_relative_information_score: 64.163, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7186, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.6983, kappa: 0.3771, kb_relative_information_score: 29.1009, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6979, predictive_accuracy: 0.6989, prior_entropy: 0.979, recall: 0.6989, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7634, kappa: 0.5125, kb_relative_information_score: 76.0596, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7634, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7634, kappa: 0.5125, kb_relative_information_score: 94.1197, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7634, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7372, kappa: 0.4553, kb_relative_information_score: 87.861, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7526, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1631.1992, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1697.6783, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1862.8608, 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: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1368.783, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1371.1957, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1386.4412, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6544, kappa: 0.2854, kb_relative_information_score: 42.9042, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6535, predictive_accuracy: 0.6559, prior_entropy: 0.979, recall: 0.6559, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0498, scimark_benchmark: 1908.2191, usercpu_time_millis: 1656.25, usercpu_time_millis_training: 1656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7027, kappa: 0.3847, kb_relative_information_score: 77.61, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.702, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0204, scimark_benchmark: 1908.2191, usercpu_time_millis: 2078.125, usercpu_time_millis_training: 2078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7351, kappa: 0.4518, kb_relative_information_score: 83.6885, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7347, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0421, scimark_benchmark: 1827.4462, 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: 0.7455, f_measure: 0.6836, kappa: 0.35, kb_relative_information_score: 63.9448, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6848, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0438, scimark_benchmark: 1513.8497, usercpu_time_millis: 3880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7034, kappa: 0.3871, kb_relative_information_score: 75.1421, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7028, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206, scimark_benchmark: 1293.3306, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6954, kappa: 0.3949, kb_relative_information_score: 64.163, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7186, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0758, scimark_benchmark: 1100.6364, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6954, kappa: 0.3949, kb_relative_information_score: 64.163, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7186, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0758, scimark_benchmark: 968.9875, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6831, kappa: 0.3475, kb_relative_information_score: 51.0964, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6834, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.99, scimark_benchmark: 1173.1211, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7351, kappa: 0.4518, kb_relative_information_score: 83.6885, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7347, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0421, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7318, kappa: 0.4433, kb_relative_information_score: 83.6885, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7347, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0421, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6458, kappa: 0.2715, kb_relative_information_score: 50.1105, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6466, predictive_accuracy: 0.6452, prior_entropy: 0.979, recall: 0.6452, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0103, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7097, kappa: 0.4016, kb_relative_information_score: 73.6195, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.0751, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8046, kappa: 0.5949, kb_relative_information_score: 84.6748, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8058, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7811, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.8026, kappa: 0.5902, kb_relative_information_score: 85.0147, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8086, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.801, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7397, kappa: 0.4596, kb_relative_information_score: 65.4963, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.749, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9033, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7618, kappa: 0.5068, kb_relative_information_score: 78.6505, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7618, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8056, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5662, kappa: 0.1464, kb_relative_information_score: 9.7773, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5921, predictive_accuracy: 0.5645, prior_entropy: 0.979, recall: 0.5645, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6174, root_relative_squared_error: 1.2535, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.783, kappa: 0.5498, kb_relative_information_score: 89.0097, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7982, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8382, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6954, kappa: 0.3949, kb_relative_information_score: 64.163, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7186, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0758, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7351, kappa: 0.4518, kb_relative_information_score: 83.6885, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7347, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0421, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7318, kappa: 0.4433, kb_relative_information_score: 83.6885, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7347, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0421, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6938, kappa: 0.3696, kb_relative_information_score: 51.4482, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6942, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9825, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6458, kappa: 0.2715, kb_relative_information_score: 50.1105, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6466, predictive_accuracy: 0.6452, prior_entropy: 0.979, recall: 0.6452, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0103, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7097, kappa: 0.4016, kb_relative_information_score: 73.6195, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.0751, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7937, kappa: 0.5724, kb_relative_information_score: 84.5844, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7948, predictive_accuracy: 0.7957, prior_entropy: 0.979, recall: 0.7957, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7786, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7713, kappa: 0.5256, kb_relative_information_score: 72.7083, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7731, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8508, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7458, kappa: 0.4722, kb_relative_information_score: 67.4186, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7541, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8911, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7561, kappa: 0.4946, kb_relative_information_score: 79.2702, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7563, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8074, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5662, kappa: 0.1464, kb_relative_information_score: 9.7773, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5921, predictive_accuracy: 0.5645, prior_entropy: 0.979, recall: 0.5645, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6174, root_relative_squared_error: 1.2535, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.789, kappa: 0.5622, kb_relative_information_score: 91.6298, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8029, predictive_accuracy: 0.7957, prior_entropy: 0.979, recall: 0.7957, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8253, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6458, kappa: 0.2715, kb_relative_information_score: 50.1105, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6466, predictive_accuracy: 0.6452, prior_entropy: 0.979, recall: 0.6452, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0103, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8046, kappa: 0.5949, kb_relative_information_score: 84.9556, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8058, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7798, 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: 0.7057, f_measure: 0.6868, kappa: 0.3524, kb_relative_information_score: 50.9089, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6861, predictive_accuracy: 0.6882, prior_entropy: 0.979, recall: 0.6882, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.981, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7518, kappa: 0.4847, kb_relative_information_score: 64.8793, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7592, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.843, 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: 0.7813, f_measure: 0.788, kappa: 0.5605, kb_relative_information_score: 79.7142, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8056, predictive_accuracy: 0.7957, prior_entropy: 0.979, recall: 0.7957, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8172, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.6973, kappa: 0.373, kb_relative_information_score: 52.74, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.711, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9297, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7458, kappa: 0.4722, kb_relative_information_score: 52.5917, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7541, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8854, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6921, kappa: 0.3653, kb_relative_information_score: 73.2574, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7172, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0939, 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: 0.7173, f_measure: 0.7293, kappa: 0.4396, kb_relative_information_score: 81.6023, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.729, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0526, scimark_benchmark: 1500.106, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7587, kappa: 0.5042, kb_relative_information_score: 69.9475, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7597, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8863, scimark_benchmark: 815.7285, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.6925, kappa: 0.3626, kb_relative_information_score: 48.1145, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7042, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9139, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7046, kappa: 0.3917, kb_relative_information_score: 64.4043, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7049, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9647, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6437, kappa: 0.3156, kb_relative_information_score: 65.1174, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6927, predictive_accuracy: 0.6452, prior_entropy: 0.979, recall: 0.6452, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9548, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6798, kappa: 0.3548, kb_relative_information_score: 40.2459, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6922, predictive_accuracy: 0.6774, prior_entropy: 0.979, recall: 0.6774, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9046, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7458, kappa: 0.4722, kb_relative_information_score: 65.8755, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7541, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8749, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7199, kappa: 0.4216, kb_relative_information_score: 50.0872, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7195, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9259, 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: 0.7177, f_measure: 0.7372, kappa: 0.4553, kb_relative_information_score: 87.861, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7526, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7372, kappa: 0.4553, kb_relative_information_score: 87.861, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7526, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7372, kappa: 0.4553, kb_relative_information_score: 87.861, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7526, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7372, kappa: 0.4553, kb_relative_information_score: 87.861, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7526, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7187, kappa: 0.416, kb_relative_information_score: 79.5161, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7246, predictive_accuracy: 0.7258, prior_entropy: 0.979, recall: 0.7258, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0631,

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