OpenML
Supervised Classification on kropt

Supervised Classification on kropt

Task 2076 Supervised Classification kropt 1152 runs submitted
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  • at2 study_1 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.429, kappa: 0.3715, kb_relative_information_score: 12170.4821, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4323, predictive_accuracy: 0.4418, prior_entropy: 3.5053, recall: 0.4418, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.8856, scimark_benchmark: 942.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.6009, kappa: 0.5544, kb_relative_information_score: 16988.0977, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6031, predictive_accuracy: 0.6024, prior_entropy: 3.5053, recall: 0.6024, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.7715, scimark_benchmark: 594.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.2676, kappa: 0.2191, kb_relative_information_score: 6935.4675, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.2892, predictive_accuracy: 0.319, prior_entropy: 3.5053, recall: 0.319, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.9472, scimark_benchmark: 573.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0453, kb_relative_information_score: 1.3353, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2231, root_relative_squared_error: 1, scimark_benchmark: 942.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.0923, kappa: 0.0577, kb_relative_information_score: 2430.9864, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.063, predictive_accuracy: 0.1949, prior_entropy: 3.5053, recall: 0.1949, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9908, scimark_benchmark: 900.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9071, kappa: 0.8963, kb_relative_information_score: 3831.9466, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.9072, predictive_accuracy: 0.9071, prior_entropy: 3.5053, recall: 0.9071, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9773, scimark_benchmark: 917.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4751.0673, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.2932, scimark_benchmark: 896.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 745.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.5598, kappa: 0.5116, kb_relative_information_score: 4124.9465, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5603, predictive_accuracy: 0.5643, prior_entropy: 3.5053, recall: 0.5643, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.9643, scimark_benchmark: 893.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.3892, kappa: 0.3329, kb_relative_information_score: 10790.2667, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3841, predictive_accuracy: 0.407, prior_entropy: 3.5053, recall: 0.407, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.8983, scimark_benchmark: 881.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0453, kb_relative_information_score: 1.3353, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2231, root_relative_squared_error: 1, scimark_benchmark: 896.4266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.3303, kappa: 0.2728, kb_relative_information_score: 8814.9377, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3326, predictive_accuracy: 0.3589, prior_entropy: 3.5053, recall: 0.3589, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.9243, scimark_benchmark: 896.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.7017, kappa: 0.6714, kb_relative_information_score: 18574.0868, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7061, predictive_accuracy: 0.7071, prior_entropy: 3.5053, recall: 0.7071, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.6731, scimark_benchmark: 897.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.5042, kappa: 0.4464, kb_relative_information_score: 14562.7941, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5049, predictive_accuracy: 0.505, prior_entropy: 3.5053, recall: 0.505, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.9086, scimark_benchmark: 840.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.6276, kappa: 0.5863, kb_relative_information_score: 16908.5119, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6275, predictive_accuracy: 0.6306, prior_entropy: 3.5053, recall: 0.6306, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7961, scimark_benchmark: 889.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.4319, kappa: 0.3702, kb_relative_information_score: 13009.5782, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4336, predictive_accuracy: 0.4392, prior_entropy: 3.5053, recall: 0.4392, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.879, scimark_benchmark: 893.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 938.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 851.6116, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 942.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 932.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.5768, kappa: 0.5284, kb_relative_information_score: 16466.9075, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5766, predictive_accuracy: 0.5789, prior_entropy: 3.5053, recall: 0.5789, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.839, scimark_benchmark: 863.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.6426, kappa: 0.6019, kb_relative_information_score: 16547.3999, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6444, predictive_accuracy: 0.6447, prior_entropy: 3.5053, recall: 0.6447, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.7599, scimark_benchmark: 945.3242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.5042, kappa: 0.4464, kb_relative_information_score: 14562.7941, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5049, predictive_accuracy: 0.505, prior_entropy: 3.5053, recall: 0.505, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.9086, scimark_benchmark: 939.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4718.0317, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2891, root_relative_squared_error: 1.2959, scimark_benchmark: 945.1723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.5827, kappa: 0.5348, kb_relative_information_score: 16521.894, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5826, predictive_accuracy: 0.584, prior_entropy: 3.5053, recall: 0.584, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.193, root_relative_squared_error: 0.8654, scimark_benchmark: 944.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.5961, kappa: 0.5464, kb_relative_information_score: 14521.0527, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6425, predictive_accuracy: 0.5986, prior_entropy: 3.5053, recall: 0.5986, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.7868, scimark_benchmark: 948.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.0578, kappa: 0.0305, kb_relative_information_score: 908.1652, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0793, predictive_accuracy: 0.1251, prior_entropy: 3.5053, recall: 0.1251, relative_absolute_error: 1.0542, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.229, root_relative_squared_error: 1.0266, scimark_benchmark: 946.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.6849, kappa: 0.6522, kb_relative_information_score: 18332.2835, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6867, predictive_accuracy: 0.6898, prior_entropy: 3.5053, recall: 0.6898, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.154, root_relative_squared_error: 0.6903, scimark_benchmark: 944.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.6277, kappa: 0.5878, kb_relative_information_score: 16914.5485, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6278, predictive_accuracy: 0.6321, prior_entropy: 3.5053, recall: 0.6321, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.7926, scimark_benchmark: 946.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.3059, kappa: 0.2445, kb_relative_information_score: 8052.0549, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3052, predictive_accuracy: 0.3344, prior_entropy: 3.5053, recall: 0.3344, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.9337, scimark_benchmark: 931.1263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.4865, kappa: 0.4328, kb_relative_information_score: 13680.6698, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4864, predictive_accuracy: 0.4954, prior_entropy: 3.5053, recall: 0.4954, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8674, scimark_benchmark: 944.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.4159, kappa: 0.3675, kb_relative_information_score: 3174.7906, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4191, predictive_accuracy: 0.4375, prior_entropy: 3.5053, recall: 0.4375, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9868, scimark_benchmark: 943.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 851.6116, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 924.2387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.5949, kappa: 0.5496, kb_relative_information_score: 16562.7593, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5957, predictive_accuracy: 0.5983, prior_entropy: 3.5053, recall: 0.5983, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.7707, scimark_benchmark: 928.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.4159, kappa: 0.3675, kb_relative_information_score: 3174.7906, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4191, predictive_accuracy: 0.4375, prior_entropy: 3.5053, recall: 0.4375, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9868, scimark_benchmark: 911.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7123, kappa: 0.6804, kb_relative_information_score: 15772.4036, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7206, predictive_accuracy: 0.7154, prior_entropy: 3.5053, recall: 0.7154, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.7661, scimark_benchmark: 883.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 851.6116, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 944.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.5911, kappa: 0.545, kb_relative_information_score: 16472.5025, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5919, predictive_accuracy: 0.5942, prior_entropy: 3.5053, recall: 0.5942, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.7768, scimark_benchmark: 943.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.2685, kappa: 0.2142, kb_relative_information_score: 7029.0097, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.2806, predictive_accuracy: 0.3126, prior_entropy: 3.5053, recall: 0.3126, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9446, scimark_benchmark: 947.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.4159, kappa: 0.3675, kb_relative_information_score: 3174.7906, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4191, predictive_accuracy: 0.4375, prior_entropy: 3.5053, recall: 0.4375, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9868, scimark_benchmark: 931.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.6311, kappa: 0.5886, kb_relative_information_score: 16654.7137, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6337, predictive_accuracy: 0.6331, prior_entropy: 3.5053, recall: 0.6331, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.7556, scimark_benchmark: 942.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.2615, kappa: 0.2108, kb_relative_information_score: 6939.7636, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.2804, predictive_accuracy: 0.3122, prior_entropy: 3.5053, recall: 0.3122, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9485, scimark_benchmark: 945.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.6282, kappa: 0.5844, kb_relative_information_score: 17371.1733, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6292, predictive_accuracy: 0.6285, prior_entropy: 3.5053, recall: 0.6285, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.195, root_relative_squared_error: 0.874, scimark_benchmark: 945.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.3315, kappa: 0.2744, kb_relative_information_score: 8819.6804, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.334, predictive_accuracy: 0.3602, prior_entropy: 3.5053, recall: 0.3602, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9241, scimark_benchmark: 946.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.6818, kappa: 0.6458, kb_relative_information_score: 16797.2654, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6854, predictive_accuracy: 0.6839, prior_entropy: 3.5053, recall: 0.6839, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.7427, scimark_benchmark: 943.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6266, kappa: 0.5855, kb_relative_information_score: 16868.9078, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6272, predictive_accuracy: 0.6298, prior_entropy: 3.5053, recall: 0.6298, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.805, scimark_benchmark: 943.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.739, kappa: 0.7091, kb_relative_information_score: 20347.0542, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7419, predictive_accuracy: 0.7403, prior_entropy: 3.5053, recall: 0.7403, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.7493, scimark_benchmark: 904.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 851.6116, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 936.4246,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.5016, kappa: 0.4439, kb_relative_information_score: 14462.2517, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.502, predictive_accuracy: 0.5024, prior_entropy: 3.5053, recall: 0.5024, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.9129, scimark_benchmark: 922.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 851.6116, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 904.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.6781, kappa: 0.6427, kb_relative_information_score: 6728.3901, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6777, predictive_accuracy: 0.681, prior_entropy: 3.5053, recall: 0.681, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.9168, scimark_benchmark: 921.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.5941, kappa: 0.5487, kb_relative_information_score: 16555.2657, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5949, predictive_accuracy: 0.5975, prior_entropy: 3.5053, recall: 0.5975, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.7714, scimark_benchmark: 930.6848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.6781, kappa: 0.6427, kb_relative_information_score: 6728.3901, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6777, predictive_accuracy: 0.681, prior_entropy: 3.5053, recall: 0.681, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.9168, scimark_benchmark: 929.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.5957, kappa: 0.5501, kb_relative_information_score: 16058.1317, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6009, predictive_accuracy: 0.5994, prior_entropy: 3.5053, recall: 0.5994, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.806, scimark_benchmark: 947.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.6276, kappa: 0.5863, kb_relative_information_score: 16908.5119, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6275, predictive_accuracy: 0.6306, prior_entropy: 3.5053, recall: 0.6306, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7961, scimark_benchmark: 928.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.5925, kappa: 0.5468, kb_relative_information_score: 16506.1828, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5932, predictive_accuracy: 0.5957, prior_entropy: 3.5053, recall: 0.5957, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.7738, scimark_benchmark: 942.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7056, kappa: 0.6722, kb_relative_information_score: 19474.5873, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7087, predictive_accuracy: 0.7075, prior_entropy: 3.5053, recall: 0.7075, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.7868, scimark_benchmark: 940.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.5948, kappa: 0.5492, kb_relative_information_score: 16539.28, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5958, predictive_accuracy: 0.5979, prior_entropy: 3.5053, recall: 0.5979, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.7721, scimark_benchmark: 928.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15785.9013, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.561, kappa: 0.5117, kb_relative_information_score: 15812.2703, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5632, predictive_accuracy: 0.5647, prior_entropy: 3.5053, recall: 0.5647, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8301, scimark_benchmark: 909.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.0462, kappa: 0.0005, kb_relative_information_score: 862.4707, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.1758, predictive_accuracy: 0.1627, prior_entropy: 3.5053, recall: 0.1627, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.224, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.4159, kappa: 0.3675, kb_relative_information_score: 3174.7906, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4191, predictive_accuracy: 0.4375, prior_entropy: 3.5053, recall: 0.4375, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9868, scimark_benchmark: 918.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.3882, kappa: 0.332, kb_relative_information_score: 10731.8584, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3833, predictive_accuracy: 0.4063, prior_entropy: 3.5053, recall: 0.4063, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.8987, scimark_benchmark: 938.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 932.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.4342, kappa: 0.3746, kb_relative_information_score: 12672.1638, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4368, predictive_accuracy: 0.4439, prior_entropy: 3.5053, recall: 0.4439, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.8797, scimark_benchmark: 940.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0453, kb_relative_information_score: 1.3353, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2231, root_relative_squared_error: 1, scimark_benchmark: 934.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.5828, kappa: 0.5374, kb_relative_information_score: 11280.1468, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6272, predictive_accuracy: 0.5923, prior_entropy: 3.5053, recall: 0.5923, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.8612, scimark_benchmark: 943.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 936.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.7891, kappa: 0.7654, kb_relative_information_score: 3714.9825, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7893, predictive_accuracy: 0.7901, prior_entropy: 3.5053, recall: 0.7901, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9789, scimark_benchmark: 943.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4718.0317, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2891, root_relative_squared_error: 1.2959, scimark_benchmark: 929.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.6989, kappa: 0.6656, kb_relative_information_score: 16455.7332, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7042, predictive_accuracy: 0.7018, prior_entropy: 3.5053, recall: 0.7018, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.7482, scimark_benchmark: 945.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.0923, kappa: 0.0577, kb_relative_information_score: 2430.9864, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.063, predictive_accuracy: 0.1949, prior_entropy: 3.5053, recall: 0.1949, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9908, scimark_benchmark: 938.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.1811, kappa: 0.1466, kb_relative_information_score: 4347.9988, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.1554, predictive_accuracy: 0.2639, prior_entropy: 3.5053, recall: 0.2639, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.5957, kappa: 0.5501, kb_relative_information_score: 16058.1317, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6009, predictive_accuracy: 0.5994, prior_entropy: 3.5053, recall: 0.5994, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.806, scimark_benchmark: 948.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.561, kappa: 0.5117, kb_relative_information_score: 15812.2703, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5632, predictive_accuracy: 0.5647, prior_entropy: 3.5053, recall: 0.5647, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8301, scimark_benchmark: 930.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.2615, kappa: 0.2108, kb_relative_information_score: 6939.7636, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.2804, predictive_accuracy: 0.3122, prior_entropy: 3.5053, recall: 0.3122, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9485, scimark_benchmark: 937.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.1811, kappa: 0.1466, kb_relative_information_score: 4347.9988, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.1554, predictive_accuracy: 0.2639, prior_entropy: 3.5053, recall: 0.2639, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9713, scimark_benchmark: 949.3051,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.1811, kappa: 0.1466, kb_relative_information_score: 4347.9988, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.1554, predictive_accuracy: 0.2639, prior_entropy: 3.5053, recall: 0.2639, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9713, scimark_benchmark: 942.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.5598, kappa: 0.5116, kb_relative_information_score: 4124.9465, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5603, predictive_accuracy: 0.5643, prior_entropy: 3.5053, recall: 0.5643, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.9643, scimark_benchmark: 945.0551,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.5827, kappa: 0.5348, kb_relative_information_score: 16521.894, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5826, predictive_accuracy: 0.584, prior_entropy: 3.5053, recall: 0.584, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.193, root_relative_squared_error: 0.8654, scimark_benchmark: 934.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.5424, kappa: 0.4895, kb_relative_information_score: 15812.7268, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5438, predictive_accuracy: 0.5441, prior_entropy: 3.5053, recall: 0.5441, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.8449, scimark_benchmark: 937.4756,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.5827, kappa: 0.5348, kb_relative_information_score: 16521.894, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5826, predictive_accuracy: 0.584, prior_entropy: 3.5053, recall: 0.584, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.193, root_relative_squared_error: 0.8654, scimark_benchmark: 937.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15785.9013, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 946.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 941.9681,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15785.9013, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 897.5471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.399, kappa: 0.3523, kb_relative_information_score: 3109.7673, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4039, predictive_accuracy: 0.4252, prior_entropy: 3.5053, recall: 0.4252, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9874, scimark_benchmark: 897.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 940.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.699, kappa: 0.6685, kb_relative_information_score: 18565.583, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7034, predictive_accuracy: 0.7045, prior_entropy: 3.5053, recall: 0.7045, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.674, scimark_benchmark: 932.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.0453, kb_relative_information_score: 865.8758, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 913.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 851.6116, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2242, root_relative_squared_error: 1.0049, scimark_benchmark: 926.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5054, kappa: 0.4478, kb_relative_information_score: 14628.9601, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5061, predictive_accuracy: 0.506, prior_entropy: 3.5053, recall: 0.506, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.909, scimark_benchmark: 941.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4718.0317, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2891, root_relative_squared_error: 1.2959, scimark_benchmark: 944.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.699, kappa: 0.6685, kb_relative_information_score: 18565.583, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7034, predictive_accuracy: 0.7045, prior_entropy: 3.5053, recall: 0.7045, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.674, scimark_benchmark: 923.9779,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.7099, kappa: 0.6762, kb_relative_information_score: 19871.8235, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 3.5053, recall: 0.71, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.7604, scimark_benchmark: 921.8436,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs