Task
Supervised Classification on ar6

Supervised Classification on ar6

Task 3914 Supervised Classification ar6 583 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

583 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: -11.085, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3943, root_relative_squared_error: 1.1086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.7732, kappa: -0.0362, kb_relative_information_score: 5.4002, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7225, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.8547, kappa: 0.3519, kb_relative_information_score: 9.8628, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8727, predictive_accuracy: 0.8812, prior_entropy: 0.623, recall: 0.8812, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.8766, kappa: 0.4666, kb_relative_information_score: 46.5662, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8805, predictive_accuracy: 0.8911, prior_entropy: 0.623, recall: 0.8911, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.8469, kappa: 0.3235, kb_relative_information_score: -28.1264, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8519, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.8368, kappa: 0.3372, kb_relative_information_score: 14.3171, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8329, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.806, kappa: 0.1084, kb_relative_information_score: 8.0466, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8808, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.8379, kappa: 0.2702, kb_relative_information_score: 0.8672, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8575, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.7999, kappa: 0.0857, kb_relative_information_score: 13.8384, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8053, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.7645, kappa: -0.0182, kb_relative_information_score: -9.4705, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7419, predictive_accuracy: 0.7921, prior_entropy: 0.623, recall: 0.7921, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: -3.1059, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.7421, kappa: -0.1152, kb_relative_information_score: -35.3332, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7141, predictive_accuracy: 0.7723, prior_entropy: 0.623, recall: 0.7723, relative_absolute_error: 1.0479, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.1766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.8163, kappa: 0.1968, kb_relative_information_score: 23.8904, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8064, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3806, root_relative_squared_error: 1.0702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.803, kappa: 0.1893, kb_relative_information_score: -1.5339, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7958, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3681, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.7753, kappa: 0.1237, kb_relative_information_score: -12.9174, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7784, predictive_accuracy: 0.7723, prior_entropy: 0.623, recall: 0.7723, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 2.7302, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.8547, kappa: 0.3519, kb_relative_information_score: 39.0998, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8727, predictive_accuracy: 0.8812, prior_entropy: 0.623, recall: 0.8812, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -24.5725, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 34.241, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.349, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: -3.1059, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.8094, kappa: 0.1757, kb_relative_information_score: -8.4895, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7973, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3565, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.7832, kb_relative_information_score: -4.2241, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: -3.1059, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: 1.1703, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.806, kappa: 0.1084, kb_relative_information_score: -12.2357, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8808, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.7631, kappa: -0.0667, kb_relative_information_score: -25.186, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7198, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3759, root_relative_squared_error: 1.0569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.7762, kappa: 0.0113, kb_relative_information_score: -7.4802, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7508, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4052, root_relative_squared_error: 1.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.8238, kappa: 0.2746, kb_relative_information_score: 16.5119, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8177, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.8683, kappa: 0.4373, kb_relative_information_score: 14.2397, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8672, predictive_accuracy: 0.8812, prior_entropy: 0.623, recall: 0.8812, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.8263, kappa: 0.3321, kb_relative_information_score: 10.2887, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8315, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4125, root_relative_squared_error: 1.1598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: -5.978, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.7762, kappa: 0.0113, kb_relative_information_score: -7.4802, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7508, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4052, root_relative_squared_error: 1.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.8393, kappa: 0.2972, kb_relative_information_score: 25.7082, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8367, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7561, kappa: 0.1528, kb_relative_information_score: -35.7724, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7891, predictive_accuracy: 0.7327, prior_entropy: 0.623, recall: 0.7327, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.8101, kappa: 0.2082, kb_relative_information_score: 14.9056, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8014, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.7832, kb_relative_information_score: -3.541, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3566, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: -6.7376, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.7757, kappa: 0.0886, kb_relative_information_score: -5.1647, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7696, predictive_accuracy: 0.7822, prior_entropy: 0.623, recall: 0.7822, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8494, kappa: 0.3962, kb_relative_information_score: 18.7716, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8474, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3623, root_relative_squared_error: 1.0185, scimark_benchmark: 1586.7278, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5446, kappa: 0.0251, kb_relative_information_score: -150.952, mean_absolute_error: 0.5248, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7618, predictive_accuracy: 0.4752, prior_entropy: 0.623, recall: 0.4752, relative_absolute_error: 2.0362, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.7244, root_relative_squared_error: 2.0367, scimark_benchmark: 1922.3298, usercpu_time_millis: 8156.25, usercpu_time_millis_training: 8156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.807, kappa: 0.2579, kb_relative_information_score: 4.2409, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8127, predictive_accuracy: 0.802, prior_entropy: 0.623, recall: 0.802, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.445, root_relative_squared_error: 1.2511, scimark_benchmark: 1922.3298, usercpu_time_millis: 9062.5, usercpu_time_millis_training: 9062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 1922.3298, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.8172, kappa: 0.2283, kb_relative_information_score: 5.1289, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.808, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3971, root_relative_squared_error: 1.1165, scimark_benchmark: 1310.5407, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 1369.9342, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 1382.0121, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5446, kappa: 0.0251, kb_relative_information_score: -150.952, mean_absolute_error: 0.5248, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7618, predictive_accuracy: 0.4752, prior_entropy: 0.623, recall: 0.4752, relative_absolute_error: 2.0362, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.7244, root_relative_squared_error: 2.0367, scimark_benchmark: 1667.8246, usercpu_time_millis: 3060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.807, kappa: 0.2579, kb_relative_information_score: 4.2409, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8127, predictive_accuracy: 0.802, prior_entropy: 0.623, recall: 0.802, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.445, root_relative_squared_error: 1.2511, scimark_benchmark: 1392.2666, usercpu_time_millis: 4260, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.8494, kappa: 0.3962, kb_relative_information_score: 21.1647, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8474, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9569, scimark_benchmark: 1665.974, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.8101, kappa: 0.2082, kb_relative_information_score: 14.9056, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8014, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1707, scimark_benchmark: 1257.4719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, scimark_benchmark: 1410.3313, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.8238, kappa: 0.2746, kb_relative_information_score: 6.7185, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8177, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.0693, scimark_benchmark: 1341.8383, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7964, kappa: 0.2608, kb_relative_information_score: -10.3362, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8158, predictive_accuracy: 0.7822, prior_entropy: 0.623, recall: 0.7822, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.2842, scimark_benchmark: 1367.3449, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.8312, kappa: 0.2962, kb_relative_information_score: 21.4752, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8244, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.1073, scimark_benchmark: 1373.8471, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.7869, kappa: 0.0787, kb_relative_information_score: 2.8709, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7696, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.1314, scimark_benchmark: 1330.3458, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.7933, kappa: 0.0964, kb_relative_information_score: 1.1039, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7762, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0453, scimark_benchmark: 878.2934, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8705, kappa: 0.4276, kb_relative_information_score: 46.5662, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8856, predictive_accuracy: 0.8911, prior_entropy: 0.623, recall: 0.8911, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9279, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: 1.1867, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.002, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.8063, kappa: 0.1358, kb_relative_information_score: -9.1448, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7956, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.9815, 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: 0.6388, f_measure: 0.7869, kappa: 0.0787, kb_relative_information_score: 2.8709, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7696, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.1314, scimark_benchmark: 1111.8168, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: -3.1059, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0021, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.7939, kappa: 0.0648, kb_relative_information_score: 3.7, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7793, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3683, root_relative_squared_error: 1.0356, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.8101, kappa: 0.2082, kb_relative_information_score: 14.9056, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8014, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1707, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8705, kappa: 0.4276, kb_relative_information_score: 46.5662, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8856, predictive_accuracy: 0.8911, prior_entropy: 0.623, recall: 0.8911, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9279, 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: 0.6178, f_measure: 0.8238, kappa: 0.2746, kb_relative_information_score: 7.1015, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8177, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.0688, 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: 0.607, f_measure: 0.7964, kappa: 0.2608, kb_relative_information_score: -10.3362, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8158, predictive_accuracy: 0.7822, prior_entropy: 0.623, recall: 0.7822, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.2842, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.8312, kappa: 0.2962, kb_relative_information_score: 21.4752, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8244, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.1073, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7933, kappa: 0.0964, kb_relative_information_score: 0.9539, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7762, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3695, root_relative_squared_error: 1.0389, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: 1.1867, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.002, 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: 0.6384, f_measure: 0.8063, kappa: 0.1358, kb_relative_information_score: -8.4935, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7956, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.9882, 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: 0.4019, f_measure: 0.7832, kb_relative_information_score: -3.1059, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0021, 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: 0.512, f_measure: 0.7939, kappa: 0.0648, kb_relative_information_score: 3.7, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7793, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3683, root_relative_squared_error: 1.0356, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.7645, kappa: -0.0182, kb_relative_information_score: -9.4705, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7419, predictive_accuracy: 0.7921, prior_entropy: 0.623, recall: 0.7921, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.145, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.8238, kappa: 0.2746, kb_relative_information_score: 7.092, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8177, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.0693, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.7869, kappa: 0.0787, kb_relative_information_score: 2.8709, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7696, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.1314, 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: 0.6388, f_measure: 0.7869, kappa: 0.0787, kb_relative_information_score: 2.8709, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7696, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.1314, 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: 0.5128, f_measure: 0.7957, kappa: 0.1375, kb_relative_information_score: -10.7116, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7838, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.1289, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.7806, kappa: 0.0622, kb_relative_information_score: -6.3839, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7642, predictive_accuracy: 0.802, prior_entropy: 0.623, recall: 0.802, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.0693, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.7939, kappa: 0.0648, kb_relative_information_score: 4.2184, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7793, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0239, 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: 0.6128, f_measure: 0.8063, kappa: 0.1358, kb_relative_information_score: 6.2315, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7956, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.9899, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.806, kappa: 0.1084, kb_relative_information_score: 32.4578, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8808, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0468, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, scimark_benchmark: 988.1675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, scimark_benchmark: 1390.1173, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.7732, kappa: -0.0362, kb_relative_information_score: -24.9763, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7225, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0266, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.7832, kb_relative_information_score: -9.0751, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.0167, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.788, kappa: 0.0456, kb_relative_information_score: -35.338, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7657, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.1617, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.7999, kappa: 0.0857, kb_relative_information_score: 5.319, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8053, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.361, root_relative_squared_error: 1.0151, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.7832, kb_relative_information_score: -26.5327, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.9969, 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: 0.6318, f_measure: 0.7999, kappa: 0.0857, kb_relative_information_score: -12.0001, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8053, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.0028, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, f_measure: 0.7732, kappa: -0.0362, kb_relative_information_score: 18.3493, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7225, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.1535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.806, kappa: 0.1084, kb_relative_information_score: 32.4578, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8808, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0468, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8705, kappa: 0.4276, kb_relative_information_score: 46.5662, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8856, predictive_accuracy: 0.8911, prior_entropy: 0.623, recall: 0.8911, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9279, 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: 0.3911, f_measure: 0.7782, kappa: -0.0189, kb_relative_information_score: -1.6228, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7238, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.0281, 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: 0.4019, f_measure: 0.7832, kb_relative_information_score: 1.1867, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.002, scimark_benchmark: 1870.7932,

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