Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6872, kappa: 0.2004, kb_relative_information_score: 54.8181, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6832, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5943, kb_relative_information_score: -13.9916, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.6471, kappa: 0.0942, kb_relative_information_score: 9.1855, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.638, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5943, kb_relative_information_score: 17.8561, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.5943, kb_relative_information_score: -0.3978, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.6477, kappa: 0.1107, kb_relative_information_score: 4.5241, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6381, predictive_accuracy: 0.6638, prior_entropy: 0.8651, recall: 0.6638, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.692, kappa: 0.2341, kb_relative_information_score: 115.9582, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6876, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6561, kappa: 0.1765, kb_relative_information_score: 32.774, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6639, predictive_accuracy: 0.6501, prior_entropy: 0.8651, recall: 0.6501, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6675, kappa: 0.1919, kb_relative_information_score: 67.2278, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6697, predictive_accuracy: 0.6655, prior_entropy: 0.8651, recall: 0.6655, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.5631, kappa: 0.2508, kb_relative_information_score: -99.8214, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7969, predictive_accuracy: 0.5609, prior_entropy: 0.8651, recall: 0.5609, relative_absolute_error: 1.0792, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6548, root_relative_squared_error: 1.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.5943, kb_relative_information_score: 140.9524, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.646, kappa: 0.1131, kb_relative_information_score: 3.0765, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6383, predictive_accuracy: 0.6569, prior_entropy: 0.8651, recall: 0.6569, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.5468, kappa: 0.235, kb_relative_information_score: -112.1102, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7934, predictive_accuracy: 0.5472, prior_entropy: 0.8651, recall: 0.5472, relative_absolute_error: 1.0981, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.505, kappa: 0.1892, kb_relative_information_score: -138.72, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7704, predictive_accuracy: 0.5111, prior_entropy: 0.8651, recall: 0.5111, relative_absolute_error: 1.1087, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.1919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6814, kappa: 0.2018, kb_relative_information_score: 62.7212, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6752, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6099, kappa: 0.0178, kb_relative_information_score: 33.8421, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6167, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.5943, kb_relative_information_score: -0.3978, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.6477, kappa: 0.1107, kb_relative_information_score: -1.4392, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6381, predictive_accuracy: 0.6638, prior_entropy: 0.8651, recall: 0.6638, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4655, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.5914, kappa: -0.0185, kb_relative_information_score: 3.9966, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.539, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.6639, kappa: 0.161, kb_relative_information_score: 47.8461, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6724, prior_entropy: 0.8651, recall: 0.6724, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.5943, kb_relative_information_score: 28.9878, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6747, kappa: 0.1769, kb_relative_information_score: 56.4697, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6669, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.5611, kappa: 0.2488, kb_relative_information_score: -102.3064, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7965, predictive_accuracy: 0.5592, prior_entropy: 0.8651, recall: 0.5592, relative_absolute_error: 1.0828, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6558, root_relative_squared_error: 1.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5943, kb_relative_information_score: 140.5802, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.5631, kappa: 0.2508, kb_relative_information_score: -99.8214, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7969, predictive_accuracy: 0.5609, prior_entropy: 0.8651, recall: 0.5609, relative_absolute_error: 1.0792, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6548, root_relative_squared_error: 1.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6755, kappa: 0.1764, kb_relative_information_score: 74.6982, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6677, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5943, kb_relative_information_score: 140.5802, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.5591, kappa: 0.2468, kb_relative_information_score: -103.5955, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.796, predictive_accuracy: 0.5575, prior_entropy: 0.8651, recall: 0.5575, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.4378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6887, kappa: 0.292, kb_relative_information_score: 63.4635, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7186, predictive_accuracy: 0.6758, prior_entropy: 0.8651, recall: 0.6758, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5943, kb_relative_information_score: 140.5802, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6747, kappa: 0.1769, kb_relative_information_score: 56.4697, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6669, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6632, kappa: 0.1457, kb_relative_information_score: 62.5775, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6543, predictive_accuracy: 0.6827, prior_entropy: 0.8651, recall: 0.6827, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.95, scimark_benchmark: 1787.0456, usercpu_time_millis: 7.223, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 6.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6543, kappa: 0.1119, kb_relative_information_score: 57.9184, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6502, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9253, scimark_benchmark: 1723.0244, usercpu_time_millis: 4.435, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 3.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6485, kappa: 0.1011, kb_relative_information_score: 56.3319, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6648, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9223, scimark_benchmark: 2166.5275, usercpu_time_millis: 2.978, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 2.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.5943, kb_relative_information_score: 41.7887, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9351, scimark_benchmark: 1753.3427, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6774, kappa: 0.1828, kb_relative_information_score: 65.0755, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6698, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9356, scimark_benchmark: 1741.7307, usercpu_time_millis: 4.928, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 4.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6572, kappa: 0.1195, kb_relative_information_score: 57.1116, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6525, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9297, scimark_benchmark: 2166.8354, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.6772, kappa: 0.1791, kb_relative_information_score: 62.0205, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6698, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.938, scimark_benchmark: 1743.069, usercpu_time_millis: 9.955, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 9.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 66.3415, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9276, scimark_benchmark: 1738.5115, usercpu_time_millis: 7.424, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 6.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6659, kappa: 0.1464, kb_relative_information_score: 65.3714, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6579, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.927, scimark_benchmark: 1769.2512, usercpu_time_millis: 5.641, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 5.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6469, kappa: 0.0954, kb_relative_information_score: 51.7965, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6556, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9277, scimark_benchmark: 1022.612, usercpu_time_millis: 4.078, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 3.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5943, kb_relative_information_score: 0.2825, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1754.9571, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.6688, kappa: 0.1517, kb_relative_information_score: 62.8835, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6627, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9247, scimark_benchmark: 1739.2176, usercpu_time_millis: 2.299, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 2.07,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6779, kappa: 0.1728, kb_relative_information_score: 67.1274, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6804, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.9172, scimark_benchmark: 1682.9337, usercpu_time_millis: 3.055, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.6746, kappa: 0.1805, kb_relative_information_score: 69.9222, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6672, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9461, scimark_benchmark: 1853.6517, usercpu_time_millis: 6.423, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 5.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.6638, kappa: 0.1379, kb_relative_information_score: 57.4934, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9326, scimark_benchmark: 1808.6569, usercpu_time_millis: 2.724, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 2.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5943, kb_relative_information_score: 0.3996, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1714.7821, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.6587, kappa: 0.1251, kb_relative_information_score: 54.9042, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6513, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9291, scimark_benchmark: 1791.0195, usercpu_time_millis: 1.799, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.5943, kb_relative_information_score: 36.6741, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9394, scimark_benchmark: 1834.627, usercpu_time_millis: 0.754, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6697, kappa: 0.179, kb_relative_information_score: 65.0395, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6649, predictive_accuracy: 0.6758, prior_entropy: 0.8651, recall: 0.6758, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0085, scimark_benchmark: 1717.6461, usercpu_time_millis: 5.115, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6547, kappa: 0.113, kb_relative_information_score: 56.2284, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.656, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9313, scimark_benchmark: 1785.3511, usercpu_time_millis: 0.714, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.632, kappa: 0.0668, kb_relative_information_score: 54.7623, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9265, scimark_benchmark: 1783.2551, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6184, kappa: 0.0427, kb_relative_information_score: 50.4228, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6666, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9267, scimark_benchmark: 1045.692, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.6607, kappa: 0.1283, kb_relative_information_score: 53.3627, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6599, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.9245, scimark_benchmark: 1782.3249, usercpu_time_millis: 3.415, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.6287, kappa: 0.0526, kb_relative_information_score: 51.6018, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.633, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9311, scimark_benchmark: 1708.252, usercpu_time_millis: 3.376, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 2.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.6622, kappa: 0.1369, kb_relative_information_score: 66.0245, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6535, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.93, scimark_benchmark: 1804.5815, usercpu_time_millis: 7.787, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 7.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5943, kb_relative_information_score: -0.0741, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1712.7328, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6788, kappa: 0.1776, kb_relative_information_score: 61.2424, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6745, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9278, scimark_benchmark: 1831.0971, usercpu_time_millis: 4.107, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 3.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6637, kappa: 0.1389, kb_relative_information_score: 53.3537, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6564, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9282, scimark_benchmark: 1039.167, usercpu_time_millis: 2.425, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.5943, kb_relative_information_score: 38.3079, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.938, scimark_benchmark: 1716.9098, usercpu_time_millis: 2.051, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6732, kappa: 0.1701, kb_relative_information_score: 65.8344, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6652, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9328, scimark_benchmark: 1850.8706, usercpu_time_millis: 7.201, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 6.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.661, kappa: 0.1334, kb_relative_information_score: 57.9877, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6524, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9368, scimark_benchmark: 1845.7061, usercpu_time_millis: 6.862, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 6.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.6795, kappa: 0.1815, kb_relative_information_score: 59.8272, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6735, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9316, scimark_benchmark: 1868.7112, usercpu_time_millis: 5.258, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 4.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.6689, kappa: 0.1571, kb_relative_information_score: 62.7481, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6606, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9342, scimark_benchmark: 1869.8223, usercpu_time_millis: 4.817, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 4.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6728, kappa: 0.1704, kb_relative_information_score: 75.4024, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6648, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9279, scimark_benchmark: 1842.6679, usercpu_time_millis: 3.747, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 3.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.5943, kb_relative_information_score: 38.9975, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9376, scimark_benchmark: 1865.0384, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5943, kb_relative_information_score: -0.0364, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1866.5348, usercpu_time_millis: 1.123, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6692, kappa: 0.1567, kb_relative_information_score: 67.9856, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6611, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9302, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.5943, kb_relative_information_score: 31.9065, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9434, scimark_benchmark: 1850.8185, usercpu_time_millis: 0.845, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.721,

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

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From your own software

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

OpenML APIs