Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.932, kappa: 0.8428, kb_relative_information_score: 7621.2738, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6399, scimark_benchmark: 1770.1748, usercpu_time_millis: 17.28, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 15.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9458, kappa: 0.8753, kb_relative_information_score: 12608.6925, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9494, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4333, scimark_benchmark: 1763.761, usercpu_time_millis: 16.277, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 15.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: 0.4552, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1846.2342, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 7.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9382, kappa: 0.8573, kb_relative_information_score: 10293.831, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9442, predictive_accuracy: 0.9399, prior_entropy: 0.9135, recall: 0.9399, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5064, scimark_benchmark: 1771.5766, usercpu_time_millis: 6.285, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 5.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: -22.4249, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1767.8265, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9397, kappa: 0.8609, kb_relative_information_score: 10430.6288, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9454, predictive_accuracy: 0.9413, prior_entropy: 0.9135, recall: 0.9413, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4982, scimark_benchmark: 1936.1374, usercpu_time_millis: 37.376, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 34.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9473, kappa: 0.8788, kb_relative_information_score: 12708.605, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9483, prior_entropy: 0.9135, recall: 0.9483, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4245, scimark_benchmark: 2083.8508, usercpu_time_millis: 33.025, usercpu_time_millis_testing: 2.567, usercpu_time_millis_training: 30.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9324, kappa: 0.8435, kb_relative_information_score: 9006.1882, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5728, scimark_benchmark: 1959.6668, usercpu_time_millis: 33.844, usercpu_time_millis_testing: 3.106, usercpu_time_millis_training: 30.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9391, kappa: 0.8594, kb_relative_information_score: 10305.7397, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9448, predictive_accuracy: 0.9407, prior_entropy: 0.9135, recall: 0.9407, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5049, scimark_benchmark: 1930.5004, usercpu_time_millis: 4.728, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 4.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9449, kappa: 0.8733, kb_relative_information_score: 12630.9158, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4444, scimark_benchmark: 1850.8185, usercpu_time_millis: 254.158, usercpu_time_millis_testing: 6.496, usercpu_time_millis_training: 247.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9428, kappa: 0.8681, kb_relative_information_score: 12439.2878, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.947, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4516, scimark_benchmark: 1852.355, usercpu_time_millis: 192.201, usercpu_time_millis_testing: 5.983, usercpu_time_millis_training: 186.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9374, kappa: 0.8553, kb_relative_information_score: 12267.967, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9437, predictive_accuracy: 0.9391, prior_entropy: 0.9135, recall: 0.9391, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652, scimark_benchmark: 1798.4893, usercpu_time_millis: 133.112, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 128.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9508, kappa: 0.887, kb_relative_information_score: 12902.2779, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9534, predictive_accuracy: 0.9516, prior_entropy: 0.9135, recall: 0.9516, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4105, scimark_benchmark: 1838.7361, usercpu_time_millis: 129.248, usercpu_time_millis_testing: 4.596, usercpu_time_millis_training: 124.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.94, kappa: 0.8615, kb_relative_information_score: 12294.9616, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9415, prior_entropy: 0.9135, recall: 0.9415, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4627, scimark_benchmark: 1854.4431, usercpu_time_millis: 99.932, usercpu_time_millis_testing: 3.512, usercpu_time_millis_training: 96.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9328, kappa: 0.8446, kb_relative_information_score: 11649.184, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4808, scimark_benchmark: 1855.4813, usercpu_time_millis: 66.769, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 62.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9479, kappa: 0.8802, kb_relative_information_score: 12721.7911, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9512, predictive_accuracy: 0.9489, prior_entropy: 0.9135, recall: 0.9489, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4219, scimark_benchmark: 1855.4813, usercpu_time_millis: 61.338, usercpu_time_millis_testing: 3.388, usercpu_time_millis_training: 57.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9325, kappa: 0.8438, kb_relative_information_score: 11902.6063, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5, scimark_benchmark: 1845.0549, usercpu_time_millis: 61.717, usercpu_time_millis_testing: 3.933, usercpu_time_millis_training: 57.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 11612.258, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4839, scimark_benchmark: 1848.6795, usercpu_time_millis: 63.783, usercpu_time_millis_testing: 5.132, usercpu_time_millis_training: 58.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9407, kappa: 0.8632, kb_relative_information_score: 10496.7764, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.946, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4922, scimark_benchmark: 1813.7082, usercpu_time_millis: 59.531, usercpu_time_millis_testing: 4.956, usercpu_time_millis_training: 54.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9325, kappa: 0.8439, kb_relative_information_score: 11872.5037, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4744, scimark_benchmark: 1813.5068, usercpu_time_millis: 62.115, usercpu_time_millis_testing: 4.452, usercpu_time_millis_training: 57.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9542, kappa: 0.895, kb_relative_information_score: 13062.069, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9559, predictive_accuracy: 0.9548, prior_entropy: 0.9135, recall: 0.9548, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4009, scimark_benchmark: 1853.5297, usercpu_time_millis: 55.751, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 53.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.932, kappa: 0.8426, kb_relative_information_score: 11137.3758, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.5099, scimark_benchmark: 1853.3841, usercpu_time_millis: 39.664, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 36.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9325, kappa: 0.8438, kb_relative_information_score: 11447.6205, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.502, scimark_benchmark: 1839.4418, usercpu_time_millis: 38.977, usercpu_time_millis_testing: 2.443, usercpu_time_millis_training: 36.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 11995.7684, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4885, scimark_benchmark: 1810.6198, usercpu_time_millis: 34.741, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 32.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8804, kappa: 0.721, kb_relative_information_score: 5036.2437, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9037, predictive_accuracy: 0.8876, prior_entropy: 0.9135, recall: 0.8876, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7688, scimark_benchmark: 1760.5204, usercpu_time_millis: 25.596, usercpu_time_millis_testing: 3.297, usercpu_time_millis_training: 22.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9399, kappa: 0.8612, kb_relative_information_score: 10439.9729, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9454, predictive_accuracy: 0.9414, prior_entropy: 0.9135, recall: 0.9414, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4962, scimark_benchmark: 1841.539, usercpu_time_millis: 24.044, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 22.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 11577.0805, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4848, scimark_benchmark: 1852.9988, usercpu_time_millis: 17.913, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 16.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 6848.2738, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6784, scimark_benchmark: 1850.8706, usercpu_time_millis: 9.708, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 8.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9536, kappa: 0.8937, kb_relative_information_score: 13018.3724, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9556, predictive_accuracy: 0.9543, prior_entropy: 0.9135, recall: 0.9543, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4055, scimark_benchmark: 1848.7304, usercpu_time_millis: 8.995, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 8.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9329, kappa: 0.8448, kb_relative_information_score: 9728.9937, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5378, scimark_benchmark: 1806.6879, usercpu_time_millis: 13.006, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 12.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9435, kappa: 0.8698, kb_relative_information_score: 12411.1957, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9475, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4436, scimark_benchmark: 1834.5835, usercpu_time_millis: 8.813, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 8.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9366, kappa: 0.8535, kb_relative_information_score: 12217.4313, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9432, predictive_accuracy: 0.9384, prior_entropy: 0.9135, recall: 0.9384, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4684, scimark_benchmark: 1840.7635, usercpu_time_millis: 5.351, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 5.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9324, kappa: 0.8437, kb_relative_information_score: 9601.9591, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9345, prior_entropy: 0.9135, recall: 0.9345, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5491, scimark_benchmark: 1803.8113, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 9443.1361, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5523, scimark_benchmark: 1816.6453, usercpu_time_millis: 7.052, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 6.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9322, kappa: 0.8432, kb_relative_information_score: 11827.8724, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5096, scimark_benchmark: 1799.4244, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.349,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9435, kappa: 0.8698, kb_relative_information_score: 12460.0016, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9474, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4476, scimark_benchmark: 1854.9533, usercpu_time_millis: 102.274, usercpu_time_millis_testing: 5.302, usercpu_time_millis_training: 96.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9471, kappa: 0.8783, kb_relative_information_score: 12720.3834, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9503, predictive_accuracy: 0.9481, prior_entropy: 0.9135, recall: 0.9481, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4243, scimark_benchmark: 1842.6771, usercpu_time_millis: 86.007, usercpu_time_millis_testing: 4.851, usercpu_time_millis_training: 81.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9448, kappa: 0.8729, kb_relative_information_score: 12585.2621, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9484, predictive_accuracy: 0.9459, prior_entropy: 0.9135, recall: 0.9459, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.438, scimark_benchmark: 2147.9496, usercpu_time_millis: 89.061, usercpu_time_millis_testing: 3.142, usercpu_time_millis_training: 85.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9408, kappa: 0.8633, kb_relative_information_score: 10468.3498, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4938, scimark_benchmark: 1758.5813, usercpu_time_millis: 65.511, usercpu_time_millis_testing: 5.415, usercpu_time_millis_training: 60.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9496, kappa: 0.8842, kb_relative_information_score: 12832.8538, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4149, scimark_benchmark: 1852.4707, usercpu_time_millis: 61.299, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 58.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9532, kappa: 0.8927, kb_relative_information_score: 13006.8261, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9552, predictive_accuracy: 0.9539, prior_entropy: 0.9135, recall: 0.9539, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4031, scimark_benchmark: 1852.9988, usercpu_time_millis: 59.429, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 56.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9325, kappa: 0.8438, kb_relative_information_score: 11589.2837, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4961, scimark_benchmark: 1853.9121, usercpu_time_millis: 45.533, usercpu_time_millis_testing: 2.908, usercpu_time_millis_training: 42.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9413, kappa: 0.8645, kb_relative_information_score: 10547.7217, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9466, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4896, scimark_benchmark: 1852.0126, usercpu_time_millis: 41.465, usercpu_time_millis_testing: 3.201, usercpu_time_millis_training: 38.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 8187.6092, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6124, scimark_benchmark: 1853.3841, usercpu_time_millis: 41.864, usercpu_time_millis_testing: 4.164, usercpu_time_millis_training: 37.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 11898.1678, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4835, scimark_benchmark: 1840.7617, usercpu_time_millis: 36.664, usercpu_time_millis_testing: 2.117, usercpu_time_millis_training: 34.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 6562.5706, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6928, scimark_benchmark: 1847.7442, usercpu_time_millis: 31.304, usercpu_time_millis_testing: 3.509, usercpu_time_millis_training: 27.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 6828.5121, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6797, scimark_benchmark: 1854.9533, usercpu_time_millis: 32.343, usercpu_time_millis_testing: 3.639, usercpu_time_millis_training: 28.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 7067.1992, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6679, scimark_benchmark: 1847.8629, usercpu_time_millis: 26.761, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 23.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9426, kappa: 0.8676, kb_relative_information_score: 12285.5167, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9473, predictive_accuracy: 0.9439, prior_entropy: 0.9135, recall: 0.9439, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4518, scimark_benchmark: 1850.3885, usercpu_time_millis: 21.687, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 20.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 9421.3409, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5532, scimark_benchmark: 1841.0484, usercpu_time_millis: 14.151, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 13.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: 0.6941, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1844.7928, usercpu_time_millis: 13.328, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 10.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 11800.9391, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5112, scimark_benchmark: 1852.9259, usercpu_time_millis: 11.915, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 10.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 8858.7267, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5801, scimark_benchmark: 1798.9178, usercpu_time_millis: 14.528, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 13.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9351, kappa: 0.85, kb_relative_information_score: 10261.9013, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.942, predictive_accuracy: 0.937, prior_entropy: 0.9135, recall: 0.937, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5106, scimark_benchmark: 1781.7909, usercpu_time_millis: 3.773, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: -1.174, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1838.8181, usercpu_time_millis: 4.205, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 3.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 9774.5736, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5488, scimark_benchmark: 1846.3057, usercpu_time_millis: 5.26, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.932, kappa: 0.8426, kb_relative_information_score: 11723.2593, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9397, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4945, scimark_benchmark: 1802.4144, usercpu_time_millis: 7.434, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 6.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9324, kappa: 0.8437, kb_relative_information_score: 11914.6347, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9345, prior_entropy: 0.9135, recall: 0.9345, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4981, scimark_benchmark: 1783.2828, usercpu_time_millis: 1.685, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 9364.3071, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.564, scimark_benchmark: 1760.3473, usercpu_time_millis: 5.916, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 5.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9452, kappa: 0.8738, kb_relative_information_score: 12640.7153, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9488, predictive_accuracy: 0.9463, prior_entropy: 0.9135, recall: 0.9463, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4316, scimark_benchmark: 1829.4635, usercpu_time_millis: 152.606, usercpu_time_millis_testing: 7.026, usercpu_time_millis_training: 145.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9439, kappa: 0.8708, kb_relative_information_score: 12510.9589, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9478, predictive_accuracy: 0.9451, prior_entropy: 0.9135, recall: 0.9451, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4447, scimark_benchmark: 1857.6392, usercpu_time_millis: 133.83, usercpu_time_millis_testing: 5.368, usercpu_time_millis_training: 128.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9334, kappa: 0.846, kb_relative_information_score: 12191.6411, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9408, predictive_accuracy: 0.9354, prior_entropy: 0.9135, recall: 0.9354, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4712, scimark_benchmark: 1820.192, usercpu_time_millis: 129.622, usercpu_time_millis_testing: 5.037, usercpu_time_millis_training: 124.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9479, kappa: 0.8801, kb_relative_information_score: 12719.4465, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9511, predictive_accuracy: 0.9489, prior_entropy: 0.9135, recall: 0.9489, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.423, scimark_benchmark: 1847.3589, usercpu_time_millis: 117.496, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 109.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 11575.916, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4963, scimark_benchmark: 1812.0996, usercpu_time_millis: 78.606, usercpu_time_millis_testing: 4.699, usercpu_time_millis_training: 73.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9329, kappa: 0.8448, kb_relative_information_score: 12125.2114, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4712, scimark_benchmark: 1808.9878, usercpu_time_millis: 64.12, usercpu_time_millis_testing: 3.548, usercpu_time_millis_training: 60.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9328, kappa: 0.8445, kb_relative_information_score: 11674.4522, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4819, scimark_benchmark: 1849.3014, usercpu_time_millis: 60.234, usercpu_time_millis_testing: 4.789, usercpu_time_millis_training: 55.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9324, kappa: 0.8437, kb_relative_information_score: 8954.3666, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9345, prior_entropy: 0.9135, recall: 0.9345, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5754, scimark_benchmark: 1829.4635, usercpu_time_millis: 42.413, usercpu_time_millis_testing: 4.059, usercpu_time_millis_training: 38.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9468, kappa: 0.8775, kb_relative_information_score: 12657.8799, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4285, scimark_benchmark: 1859.1356, usercpu_time_millis: 33.702, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 31.855,

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