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: 0.8973, f_measure: 0.8453, kappa: 0.6565, kb_relative_information_score: 6084.7917, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8428, prior_entropy: 0.9135, recall: 0.8428, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7636, scimark_benchmark: 1851.3986, usercpu_time_millis: 2738.489, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 2737.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.5874, kappa: 0.0852, kb_relative_information_score: 1465.0149, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7631, predictive_accuracy: 0.6918, prior_entropy: 0.9135, recall: 0.6918, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9342, scimark_benchmark: 1848.5996, usercpu_time_millis: 2832.736, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 2831.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8452, kappa: 0.6566, kb_relative_information_score: 6088.7186, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8518, predictive_accuracy: 0.8428, prior_entropy: 0.9135, recall: 0.8428, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7635, scimark_benchmark: 1853.9121, usercpu_time_millis: 2932.805, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 2931.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8456, kappa: 0.6573, kb_relative_information_score: 6079.2595, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8519, predictive_accuracy: 0.8432, prior_entropy: 0.9135, recall: 0.8432, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637, scimark_benchmark: 1845.2509, usercpu_time_millis: 2902.404, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 2901.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.844, kappa: 0.6539, kb_relative_information_score: 6106.8367, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8506, predictive_accuracy: 0.8415, prior_entropy: 0.9135, recall: 0.8415, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7628, scimark_benchmark: 1850.8185, usercpu_time_millis: 3381.675, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 3380.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8252, kappa: 0.6056, kb_relative_information_score: 5479.4641, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8262, predictive_accuracy: 0.8244, prior_entropy: 0.9135, recall: 0.8244, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7956, scimark_benchmark: 1853.9121, usercpu_time_millis: 3595.33, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 3594.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8439, kappa: 0.654, kb_relative_information_score: 6065.0375, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8508, predictive_accuracy: 0.8414, prior_entropy: 0.9135, recall: 0.8414, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7643, scimark_benchmark: 1855.5541, usercpu_time_millis: 3608.333, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 3607.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6236, kappa: 0.1438, kb_relative_information_score: 1186.0727, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7041, predictive_accuracy: 0.6995, prior_entropy: 0.9135, recall: 0.6995, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9661, scimark_benchmark: 1836.024, usercpu_time_millis: 3615.571, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 3613.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.6059, kappa: 0.1196, kb_relative_information_score: 1597.1956, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7656, predictive_accuracy: 0.7002, prior_entropy: 0.9135, recall: 0.7002, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9302, scimark_benchmark: 1851.7259, usercpu_time_millis: 3799.778, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 3798.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6101, kappa: 0.1286, kb_relative_information_score: 1952.3766, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7768, predictive_accuracy: 0.7031, prior_entropy: 0.9135, recall: 0.7031, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9147, scimark_benchmark: 1848.0716, usercpu_time_millis: 3915.885, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 3914.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6191, kappa: 0.1353, kb_relative_information_score: 1132.5156, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.703, predictive_accuracy: 0.6978, prior_entropy: 0.9135, recall: 0.6978, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9669, scimark_benchmark: 1852.6392, usercpu_time_millis: 3902.742, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 3900.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8452, kappa: 0.6566, kb_relative_information_score: 6071.6072, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8518, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7648, scimark_benchmark: 1853.3841, usercpu_time_millis: 3908.125, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 3906.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6311, kappa: 0.1581, kb_relative_information_score: 1276.6081, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7066, predictive_accuracy: 0.7026, prior_entropy: 0.9135, recall: 0.7026, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9617, scimark_benchmark: 1849.4073, usercpu_time_millis: 4126.857, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 4124.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8433, kappa: 0.6505, kb_relative_information_score: 6086.0554, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8478, predictive_accuracy: 0.8413, prior_entropy: 0.9135, recall: 0.8413, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7654, scimark_benchmark: 1855.4813, usercpu_time_millis: 4201.866, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 4200.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.586, kappa: 0.0827, kb_relative_information_score: 1741.5102, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7637, predictive_accuracy: 0.6912, prior_entropy: 0.9135, recall: 0.6912, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9225, scimark_benchmark: 1854.2454, usercpu_time_millis: 4257.477, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 4256.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6241, kappa: 0.1446, kb_relative_information_score: 1129.3098, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7043, predictive_accuracy: 0.6997, prior_entropy: 0.9135, recall: 0.6997, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9665, scimark_benchmark: 1853.1673, usercpu_time_millis: 4504.642, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 4502.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7903, kappa: 0.5109, kb_relative_information_score: 4506.5038, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8037, predictive_accuracy: 0.8032, prior_entropy: 0.9135, recall: 0.8032, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8176, scimark_benchmark: 1858.8432, usercpu_time_millis: 4508.076, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 4506.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6244, kappa: 0.1455, kb_relative_information_score: 1126.2584, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7061, predictive_accuracy: 0.7002, prior_entropy: 0.9135, recall: 0.7002, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.966, scimark_benchmark: 1854.3541, usercpu_time_millis: 4726.961, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 4725.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8115, kappa: 0.562, kb_relative_information_score: 4770.1554, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8184, predictive_accuracy: 0.8198, prior_entropy: 0.9135, recall: 0.8198, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.8059, scimark_benchmark: 1846.3107, usercpu_time_millis: 4763.924, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 4762.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.6264, kappa: 0.1587, kb_relative_information_score: 1541.5695, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7702, predictive_accuracy: 0.7101, prior_entropy: 0.9135, recall: 0.7101, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9302, scimark_benchmark: 1854.1205, usercpu_time_millis: 4835.469, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 4834.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.616, kappa: 0.1299, kb_relative_information_score: 1061.839, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7042, predictive_accuracy: 0.6969, prior_entropy: 0.9135, recall: 0.6969, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9694, scimark_benchmark: 1851.0822, usercpu_time_millis: 5352.706, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 5350.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.6083, kappa: 0.1241, kb_relative_information_score: 1932.0555, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7655, predictive_accuracy: 0.7013, prior_entropy: 0.9135, recall: 0.7013, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9152, scimark_benchmark: 1849.9353, usercpu_time_millis: 5645.843, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 5644.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.5413, kappa: 0.003, kb_relative_information_score: 1034.7303, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6932, predictive_accuracy: 0.672, prior_entropy: 0.9135, recall: 0.672, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9529, scimark_benchmark: 1855.1588, usercpu_time_millis: 6013.366, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 6012.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8817, kappa: 0.7327, kb_relative_information_score: 9541.2156, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8821, predictive_accuracy: 0.8814, prior_entropy: 0.9135, recall: 0.8814, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.632, scimark_benchmark: 1731.4641, usercpu_time_millis: 3.819, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8818, kappa: 0.7328, kb_relative_information_score: 9568.0743, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8822, predictive_accuracy: 0.8814, prior_entropy: 0.9135, recall: 0.8814, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6311, scimark_benchmark: 1735.0943, usercpu_time_millis: 3.678, usercpu_time_millis_testing: 3.657, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8919, kappa: 0.7553, kb_relative_information_score: 10243.259, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8921, predictive_accuracy: 0.8918, prior_entropy: 0.9135, recall: 0.8918, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6162, scimark_benchmark: 1732.8983, usercpu_time_millis: 3.021, usercpu_time_millis_testing: 3, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8893, kappa: 0.7498, kb_relative_information_score: 10034.4902, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8896, predictive_accuracy: 0.8891, prior_entropy: 0.9135, recall: 0.8891, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6186, scimark_benchmark: 1735.1328, usercpu_time_millis: 3.322, usercpu_time_millis_testing: 3.305, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8859, kappa: 0.742, kb_relative_information_score: 9825.0651, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8862, predictive_accuracy: 0.8856, prior_entropy: 0.9135, recall: 0.8856, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.6233, scimark_benchmark: 1736.0929, usercpu_time_millis: 3.433, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8846, kappa: 0.7393, kb_relative_information_score: 9752.285, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.885, predictive_accuracy: 0.8843, prior_entropy: 0.9135, recall: 0.8843, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6254, scimark_benchmark: 1735.5975, usercpu_time_millis: 3.494, usercpu_time_millis_testing: 3.472, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8893, kappa: 0.7498, kb_relative_information_score: 10034.4902, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8896, predictive_accuracy: 0.8891, prior_entropy: 0.9135, recall: 0.8891, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6186, scimark_benchmark: 1734.7321, usercpu_time_millis: 3.328, usercpu_time_millis_testing: 3.31, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8818, kappa: 0.7321, kb_relative_information_score: 10747.5109, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9135, recall: 0.8818, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6372, scimark_benchmark: 1853.454, usercpu_time_millis: 2.562, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8885, kappa: 0.7478, kb_relative_information_score: 9945.8571, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8888, predictive_accuracy: 0.8882, prior_entropy: 0.9135, recall: 0.8882, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.6203, scimark_benchmark: 1734.7321, usercpu_time_millis: 3.165, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8836, kappa: 0.7368, kb_relative_information_score: 9718.2913, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.884, predictive_accuracy: 0.8832, prior_entropy: 0.9135, recall: 0.8832, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6264, scimark_benchmark: 1852.0126, usercpu_time_millis: 3.312, usercpu_time_millis_testing: 3.296, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8912, kappa: 0.7538, kb_relative_information_score: 10186.5036, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8914, predictive_accuracy: 0.891, prior_entropy: 0.9135, recall: 0.891, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6166, scimark_benchmark: 1732.4272, usercpu_time_millis: 3.078, usercpu_time_millis_testing: 3.058, usercpu_time_millis_training: 0.02,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8896, kappa: 0.7503, kb_relative_information_score: 10132.2005, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8899, predictive_accuracy: 0.8894, prior_entropy: 0.9135, recall: 0.8894, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6171, scimark_benchmark: 1849.8294, usercpu_time_millis: 2.922, usercpu_time_millis_testing: 2.905, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8896, kappa: 0.7503, kb_relative_information_score: 10132.2005, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8899, predictive_accuracy: 0.8894, prior_entropy: 0.9135, recall: 0.8894, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6171, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.92, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8896, kappa: 0.7503, kb_relative_information_score: 10132.2005, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8899, predictive_accuracy: 0.8894, prior_entropy: 0.9135, recall: 0.8894, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6171, scimark_benchmark: 1853.454, usercpu_time_millis: 2.922, usercpu_time_millis_testing: 2.907, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8885, kappa: 0.7478, kb_relative_information_score: 9945.8571, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8888, predictive_accuracy: 0.8882, prior_entropy: 0.9135, recall: 0.8882, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.6203, scimark_benchmark: 1849.8294, usercpu_time_millis: 2.973, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8834, kappa: 0.7363, kb_relative_information_score: 9685.6712, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8837, predictive_accuracy: 0.883, prior_entropy: 0.9135, recall: 0.883, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6274, scimark_benchmark: 1850.8185, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 3.307, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8818, kappa: 0.7321, kb_relative_information_score: 11019.9067, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9135, recall: 0.8818, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6819, scimark_benchmark: 1846.143, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 2.415, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8818, kappa: 0.7321, kb_relative_information_score: 10865.462, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9135, recall: 0.8818, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6528, scimark_benchmark: 1846.6923, usercpu_time_millis: 2.509, usercpu_time_millis_testing: 2.485, usercpu_time_millis_training: 0.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8889, kappa: 0.7487, kb_relative_information_score: 9989.386, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8892, predictive_accuracy: 0.8886, prior_entropy: 0.9135, recall: 0.8886, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6194, scimark_benchmark: 1847.7623, usercpu_time_millis: 3.021, usercpu_time_millis_testing: 3.003, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8876, kappa: 0.7458, kb_relative_information_score: 9903.8075, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8879, predictive_accuracy: 0.8874, prior_entropy: 0.9135, recall: 0.8874, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.6213, scimark_benchmark: 1852.9988, usercpu_time_millis: 3.12, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8859, kappa: 0.742, kb_relative_information_score: 9825.0651, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8862, predictive_accuracy: 0.8856, prior_entropy: 0.9135, recall: 0.8856, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.6233, scimark_benchmark: 1858.6076, usercpu_time_millis: 3.212, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8846, kappa: 0.7393, kb_relative_information_score: 9752.285, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.885, predictive_accuracy: 0.8843, prior_entropy: 0.9135, recall: 0.8843, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6254, scimark_benchmark: 1853.9121, usercpu_time_millis: 3.297, usercpu_time_millis_testing: 3.275, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8889, kappa: 0.7487, kb_relative_information_score: 9989.386, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8892, predictive_accuracy: 0.8886, prior_entropy: 0.9135, recall: 0.8886, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6194, scimark_benchmark: 1853.9121, usercpu_time_millis: 3.051, usercpu_time_millis_testing: 3.033, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8833, kappa: 0.7362, kb_relative_information_score: 9654.4705, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8837, predictive_accuracy: 0.883, prior_entropy: 0.9135, recall: 0.883, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6283, scimark_benchmark: 1850.8706, usercpu_time_millis: 3.493, usercpu_time_millis_testing: 3.477, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8859, kappa: 0.742, kb_relative_information_score: 9825.0651, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8862, predictive_accuracy: 0.8856, prior_entropy: 0.9135, recall: 0.8856, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.6233, scimark_benchmark: 1854.4431, usercpu_time_millis: 3.202, usercpu_time_millis_testing: 3.065, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8827, kappa: 0.7349, kb_relative_information_score: 9624.5368, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8831, predictive_accuracy: 0.8824, prior_entropy: 0.9135, recall: 0.8824, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6293, scimark_benchmark: 1850.2875, usercpu_time_millis: 3.403, usercpu_time_millis_testing: 3.261, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8896, kappa: 0.7503, kb_relative_information_score: 10132.2005, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8899, predictive_accuracy: 0.8894, prior_entropy: 0.9135, recall: 0.8894, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6171, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.903, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8817, kappa: 0.7327, kb_relative_information_score: 9541.2156, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8821, predictive_accuracy: 0.8814, prior_entropy: 0.9135, recall: 0.8814, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.632, scimark_benchmark: 1848.8032, usercpu_time_millis: 3.59, usercpu_time_millis_testing: 3.572, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8912, kappa: 0.7538, kb_relative_information_score: 10186.5036, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8914, predictive_accuracy: 0.891, prior_entropy: 0.9135, recall: 0.891, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6166, scimark_benchmark: 1853.0716, usercpu_time_millis: 2.875, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8919, kappa: 0.7553, kb_relative_information_score: 10243.259, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8921, predictive_accuracy: 0.8918, prior_entropy: 0.9135, recall: 0.8918, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6162, scimark_benchmark: 1849.447, usercpu_time_millis: 2.832, usercpu_time_millis_testing: 2.813, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8918, kappa: 0.7551, kb_relative_information_score: 10302.2495, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.892, predictive_accuracy: 0.8917, prior_entropy: 0.9135, recall: 0.8917, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6162, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 2.777, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8867, kappa: 0.7437, kb_relative_information_score: 9863.6354, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.887, predictive_accuracy: 0.8864, prior_entropy: 0.9135, recall: 0.8864, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6223, scimark_benchmark: 1852.9988, usercpu_time_millis: 3.164, usercpu_time_millis_testing: 3.03, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8896, kappa: 0.7503, kb_relative_information_score: 10132.2005, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8899, predictive_accuracy: 0.8894, prior_entropy: 0.9135, recall: 0.8894, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6171, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.915, usercpu_time_millis_testing: 2.899, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8836, kappa: 0.7368, kb_relative_information_score: 9718.2913, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.884, predictive_accuracy: 0.8832, prior_entropy: 0.9135, recall: 0.8832, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6264, scimark_benchmark: 1855.0232, usercpu_time_millis: 3.32, usercpu_time_millis_testing: 3.304, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8846, kappa: 0.7393, kb_relative_information_score: 9752.285, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.885, predictive_accuracy: 0.8843, prior_entropy: 0.9135, recall: 0.8843, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6254, scimark_benchmark: 1857.6392, usercpu_time_millis: 3.283, usercpu_time_millis_testing: 3.265, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8818, kappa: 0.7321, kb_relative_information_score: 10747.5109, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9135, recall: 0.8818, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6372, scimark_benchmark: 1852.9988, usercpu_time_millis: 2.551, usercpu_time_millis_testing: 2.53, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8907, kappa: 0.7524, kb_relative_information_score: 10364.9541, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8908, predictive_accuracy: 0.8906, prior_entropy: 0.9135, recall: 0.8906, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6166, scimark_benchmark: 1854.9533, usercpu_time_millis: 2.721, usercpu_time_millis_testing: 2.703, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8817, kappa: 0.7327, kb_relative_information_score: 9541.2156, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8821, predictive_accuracy: 0.8814, prior_entropy: 0.9135, recall: 0.8814, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.632, scimark_benchmark: 1850.2875, usercpu_time_millis: 3.56, usercpu_time_millis_testing: 3.543, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8818, kappa: 0.7328, kb_relative_information_score: 9568.0743, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8822, predictive_accuracy: 0.8814, prior_entropy: 0.9135, recall: 0.8814, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6311, scimark_benchmark: 1854.4431, usercpu_time_millis: 3.472, usercpu_time_millis_testing: 3.45, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8818, kappa: 0.7321, kb_relative_information_score: 10865.462, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9135, recall: 0.8818, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6528, scimark_benchmark: 1849.3742, usercpu_time_millis: 2.507, usercpu_time_millis_testing: 2.486, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8891, kappa: 0.7486, kb_relative_information_score: 10503.3244, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8891, predictive_accuracy: 0.889, prior_entropy: 0.9135, recall: 0.889, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6192, scimark_benchmark: 1855.4813, usercpu_time_millis: 2.663, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8813, kappa: 0.7317, kb_relative_information_score: 9515.1966, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8817, predictive_accuracy: 0.8809, prior_entropy: 0.9135, recall: 0.8809, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6329, scimark_benchmark: 1850.8185, usercpu_time_millis: 3.636, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8918, kappa: 0.7551, kb_relative_information_score: 10302.2495, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.892, predictive_accuracy: 0.8917, prior_entropy: 0.9135, recall: 0.8917, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6162, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.78, usercpu_time_millis_testing: 2.759, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8834, kappa: 0.7363, kb_relative_information_score: 9685.6712, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8837, predictive_accuracy: 0.883, prior_entropy: 0.9135, recall: 0.883, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6274, scimark_benchmark: 1850.8706, usercpu_time_millis: 3.235, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8813, kappa: 0.7317, kb_relative_information_score: 9515.1966, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8817, predictive_accuracy: 0.8809, prior_entropy: 0.9135, recall: 0.8809, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6329, scimark_benchmark: 1844.7668, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 3.509, usercpu_time_millis_training: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8893, kappa: 0.7498, kb_relative_information_score: 10034.4902, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8896, predictive_accuracy: 0.8891, prior_entropy: 0.9135, recall: 0.8891, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6186, scimark_benchmark: 1850.2875, usercpu_time_millis: 3.152, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 0.02,

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