Task
Supervised Classification on meta_all.arff

Supervised Classification on meta_all.arff

Task 2272 Supervised Classification meta_all.arff 354 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.4397, kb_relative_information_score: -0.2696, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3499, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3179, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.5195, kappa: 0.1637, kb_relative_information_score: 18.6798, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4816, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6033, kappa: 0.3107, kb_relative_information_score: 18.636, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5933, predictive_accuracy: 0.6338, prior_entropy: 1.9094, recall: 0.6338, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5388, kappa: 0.2066, kb_relative_information_score: 13.5663, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5067, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3238, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.4397, kb_relative_information_score: -0.2696, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3499, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3179, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.5055, kappa: 0.1617, kb_relative_information_score: 3.2671, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5027, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.642, kappa: 0.3991, kb_relative_information_score: 29.8019, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6438, predictive_accuracy: 0.6479, prior_entropy: 1.9094, recall: 0.6479, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3254, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.5597, kappa: 0.2741, kb_relative_information_score: 15.9463, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5589, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3512, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.5089, kappa: 0.1686, kb_relative_information_score: 22.614, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5002, predictive_accuracy: 0.5352, prior_entropy: 1.9094, recall: 0.5352, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3446, root_relative_squared_error: 1.0872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.5968, kappa: 0.3282, kb_relative_information_score: 21.2291, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5719, predictive_accuracy: 0.6479, prior_entropy: 1.9094, recall: 0.6479, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.5, kappa: 0.1742, kb_relative_information_score: 19.848, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5076, predictive_accuracy: 0.493, prior_entropy: 1.9094, recall: 0.493, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6437, kappa: 0.4098, kb_relative_information_score: 28.4967, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6291, predictive_accuracy: 0.662, prior_entropy: 1.9094, recall: 0.662, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.4961, kappa: 0.1471, kb_relative_information_score: 19.7931, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5516, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.5766, kappa: 0.2789, kb_relative_information_score: 1.0978, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5822, predictive_accuracy: 0.6338, prior_entropy: 1.9094, recall: 0.6338, relative_absolute_error: 1.1631, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3341, root_relative_squared_error: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.5767, kappa: 0.2847, kb_relative_information_score: 21.6341, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.547, predictive_accuracy: 0.6197, prior_entropy: 1.9094, recall: 0.6197, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.4953, kappa: 0.0962, kb_relative_information_score: 6.193, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.515, predictive_accuracy: 0.6197, prior_entropy: 1.9094, recall: 0.6197, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.4397, kb_relative_information_score: -0.2696, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3499, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3179, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.4056, kappa: -0.0588, kb_relative_information_score: 16.8642, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.338, predictive_accuracy: 0.507, prior_entropy: 1.9094, recall: 0.507, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.4889, kappa: 0.0926, kb_relative_information_score: 24.5435, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5246, predictive_accuracy: 0.5352, prior_entropy: 1.9094, recall: 0.5352, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.4893, kappa: 0.0894, kb_relative_information_score: 21.734, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.493, predictive_accuracy: 0.5352, prior_entropy: 1.9094, recall: 0.5352, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5823, kappa: 0.3664, kb_relative_information_score: 26.4342, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6717, predictive_accuracy: 0.5493, prior_entropy: 1.9094, recall: 0.5493, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3605, root_relative_squared_error: 1.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.4974, kappa: 0.1559, kb_relative_information_score: 15.2103, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4762, predictive_accuracy: 0.5211, prior_entropy: 1.9094, recall: 0.5211, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.5318, kappa: 0.2654, kb_relative_information_score: 18.8423, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5648, predictive_accuracy: 0.5211, prior_entropy: 1.9094, recall: 0.5211, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3928, root_relative_squared_error: 1.2393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.4397, kb_relative_information_score: -0.674, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3499, predictive_accuracy: 0.5915, prior_entropy: 1.9094, recall: 0.5915, relative_absolute_error: 1.1625, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3377, root_relative_squared_error: 1.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6468, kappa: 0.4203, kb_relative_information_score: 28.7523, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6469, predictive_accuracy: 0.6479, prior_entropy: 1.9094, recall: 0.6479, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6298, kappa: 0.3985, kb_relative_information_score: 23.495, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.662, predictive_accuracy: 0.6338, prior_entropy: 1.9094, recall: 0.6338, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3348, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.5376, kappa: 0.1983, kb_relative_information_score: -2.6864, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5004, predictive_accuracy: 0.6479, prior_entropy: 1.9094, recall: 0.6479, relative_absolute_error: 1.1609, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3373, root_relative_squared_error: 1.0642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6306, kappa: 0.3779, kb_relative_information_score: 19.5332, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6092, predictive_accuracy: 0.662, prior_entropy: 1.9094, recall: 0.662, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.6442, kappa: 0.4002, kb_relative_information_score: 23.6989, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6582, predictive_accuracy: 0.6901, prior_entropy: 1.9094, recall: 0.6901, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.4974, kappa: 0.1559, kb_relative_information_score: 15.2103, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4762, predictive_accuracy: 0.5211, prior_entropy: 1.9094, recall: 0.5211, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.4695, kappa: 0.0488, kb_relative_information_score: -3.627, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5099, predictive_accuracy: 0.6056, prior_entropy: 1.9094, recall: 0.6056, relative_absolute_error: 1.1685, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3397, root_relative_squared_error: 1.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.432, f_measure: 0.4125, kappa: -0.0689, kb_relative_information_score: 2.3536, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3355, predictive_accuracy: 0.5352, prior_entropy: 1.9094, recall: 0.5352, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6459, kappa: 0.3927, kb_relative_information_score: 22.7957, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6529, predictive_accuracy: 0.662, prior_entropy: 1.9094, recall: 0.662, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.5919, kappa: 0.3076, kb_relative_information_score: 24.8307, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5926, predictive_accuracy: 0.6056, prior_entropy: 1.9094, recall: 0.6056, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3626, root_relative_squared_error: 1.1438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.4695, kappa: 0.0558, kb_relative_information_score: 6.2066, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4343, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0647, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5508, kappa: 0.2607, kb_relative_information_score: 21.0851, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5443, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3547, root_relative_squared_error: 1.1191, scimark_benchmark: 851.2074, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4331, kappa: -0.0157, kb_relative_information_score: 14.5351, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3465, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.1839, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.5081, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.0931, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.46, kappa: 0.0309, kb_relative_information_score: 13.3321, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5081, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.9583, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.6442, kappa: 0.4002, kb_relative_information_score: 23.6989, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6582, predictive_accuracy: 0.6901, prior_entropy: 1.9094, recall: 0.6901, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.8884, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.5744, kappa: 0.265, kb_relative_information_score: 20.6293, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.5872, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3352, root_relative_squared_error: 1.0576, scimark_benchmark: 879.4299, usercpu_time_millis: 1280, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.6442, kappa: 0.4002, kb_relative_information_score: 23.6989, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.6582, predictive_accuracy: 0.6901, prior_entropy: 1.9094, recall: 0.6901, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.8884, scimark_benchmark: 935.627, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.4695, kappa: 0.0558, kb_relative_information_score: 6.2066, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4343, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0647, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4331, kappa: -0.0157, kb_relative_information_score: 14.5351, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.3465, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.1839, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.4695, kappa: 0.0558, kb_relative_information_score: 6.2066, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4343, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0647, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.5081, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.0931, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.4695, kappa: 0.0558, kb_relative_information_score: 6.2066, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4343, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0647, scimark_benchmark: 1340.9446, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.5081, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.0931, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.4695, kappa: 0.0558, kb_relative_information_score: 6.2066, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4343, predictive_accuracy: 0.5634, prior_entropy: 1.9094, recall: 0.5634, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0647, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4863, kappa: 0.0803, kb_relative_information_score: 6.8342, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.4498, predictive_accuracy: 0.5775, prior_entropy: 1.9094, recall: 0.5775, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0954, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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