Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9831, kappa: 0.9661, kb_relative_information_score: 2686.361, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 0.9986, recall: 0.9831, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.2932, scimark_benchmark: 1246.5101, usercpu_time_millis: 108.877, usercpu_time_millis_testing: 6.037, usercpu_time_millis_training: 102.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2657.7006, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.3909, scimark_benchmark: 1243.5642, usercpu_time_millis: 151.696, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 147.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8994, kappa: 0.7984, kb_relative_information_score: 587.9486, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9039, predictive_accuracy: 0.8999, prior_entropy: 0.9986, recall: 0.8999, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8678, scimark_benchmark: 1260.775, usercpu_time_millis: 4.251, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 3.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3583, kb_relative_information_score: -0.0235, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1240.6598, usercpu_time_millis: 4.6, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 4.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9445, kappa: 0.8888, kb_relative_information_score: 1511.2184, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9455, predictive_accuracy: 0.9446, prior_entropy: 0.9986, recall: 0.9446, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6334, scimark_benchmark: 1244.629, usercpu_time_millis: 60.625, usercpu_time_millis_testing: 4.259, usercpu_time_millis_training: 56.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9675, kappa: 0.9349, kb_relative_information_score: 0.9347, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.968, predictive_accuracy: 0.9675, prior_entropy: 0.9986, recall: 0.9675, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9417, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.969, kappa: 0.938, kb_relative_information_score: 0.9379, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 0.9986, recall: 0.969, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.948, kappa: 0.8958, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9482, predictive_accuracy: 0.9481, prior_entropy: 0.9986, recall: 0.9481, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.974, kappa: 0.948, kb_relative_information_score: 0.9479, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 0.936, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9686, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 0.9868, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.1623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.964, kappa: 0.9279, kb_relative_information_score: 0.9278, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 0.9986, recall: 0.964, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3892, f_measure: 0.3901, kappa: -0.2213, kb_relative_information_score: -0.2238, mean_absolute_error: 0.6101, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3905, predictive_accuracy: 0.3899, prior_entropy: 0.9986, recall: 0.3899, relative_absolute_error: 1.2227, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7811, root_relative_squared_error: 1.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 0.9178, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.9986, recall: 0.959, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9631, kappa: 0.926, kb_relative_information_score: 0.9259, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.9986, recall: 0.9631, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6516, kappa: 0.3594, kb_relative_information_score: 0.3762, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7954, predictive_accuracy: 0.689, prior_entropy: 0.9986, recall: 0.689, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9477, kappa: 0.8952, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 0.9986, recall: 0.9477, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9581, kappa: 0.9161, kb_relative_information_score: 2787.2451, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3439, scimark_benchmark: 1240.0976, usercpu_time_millis: 53.643, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 52.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 2753.211, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9584, predictive_accuracy: 0.9578, prior_entropy: 0.9986, recall: 0.9578, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3731, scimark_benchmark: 1246.2061, usercpu_time_millis: 8.665, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 8.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3103.9041, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1417, scimark_benchmark: 1259.2551, usercpu_time_millis: 143.534, usercpu_time_millis_testing: 5.511, usercpu_time_millis_training: 138.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 0.9893, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9815, kappa: 0.963, kb_relative_information_score: 0.963, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 0.9986, recall: 0.9815, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9637, kappa: 0.9273, kb_relative_information_score: 0.9272, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9639, predictive_accuracy: 0.9637, prior_entropy: 0.9986, recall: 0.9637, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9878, kappa: 0.9755, kb_relative_information_score: 0.9755, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 0.9986, recall: 0.9878, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9815, kappa: 0.963, kb_relative_information_score: 0.963, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 0.9986, recall: 0.9815, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9694, kappa: 0.9386, kb_relative_information_score: 0.9385, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9698, predictive_accuracy: 0.9693, prior_entropy: 0.9986, recall: 0.9693, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.8008, kappa: 0.6082, kb_relative_information_score: 0.6134, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8399, predictive_accuracy: 0.8073, prior_entropy: 0.9986, recall: 0.8073, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 0.9868, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.1623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 0.9868, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.1623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.949, kappa: 0.8977, kb_relative_information_score: 0.8977, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9986, recall: 0.949, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6516, kappa: 0.3594, kb_relative_information_score: 0.3762, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7954, predictive_accuracy: 0.689, prior_entropy: 0.9986, recall: 0.689, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9672, kappa: 0.9342, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9676, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.969, kappa: 0.938, kb_relative_information_score: 0.9379, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 0.9986, recall: 0.969, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9168, kappa: 0.8332, kb_relative_information_score: 0.8331, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9168, predictive_accuracy: 0.9168, prior_entropy: 0.9986, recall: 0.9168, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.974, kappa: 0.948, kb_relative_information_score: 0.9479, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3226,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: -0.0103, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1269.2176, usercpu_time_millis: 16.325, usercpu_time_millis_testing: 2.115, usercpu_time_millis_training: 14.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9401, kappa: 0.8799, kb_relative_information_score: 1361.8502, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9414, predictive_accuracy: 0.9402, prior_entropy: 0.9986, recall: 0.9402, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6748, scimark_benchmark: 1240.0248, usercpu_time_millis: 19.719, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 18.058,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3089.3008, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584, scimark_benchmark: 1260.1519, usercpu_time_millis: 125.521, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 120.449,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9477, kappa: 0.8951, kb_relative_information_score: 2631.6617, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9482, predictive_accuracy: 0.9477, prior_entropy: 0.9986, recall: 0.9477, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3754, scimark_benchmark: 1269.5275, usercpu_time_millis: 137.087, usercpu_time_millis_testing: 4.267, usercpu_time_millis_training: 132.82,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2207.5445, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4723, scimark_benchmark: 1245.0853, usercpu_time_millis: 76.31, usercpu_time_millis_testing: 4.209, usercpu_time_millis_training: 72.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9865, kappa: 0.973, kb_relative_information_score: 2950.3279, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9866, predictive_accuracy: 0.9865, prior_entropy: 0.9986, recall: 0.9865, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2389, scimark_benchmark: 1245.4714, usercpu_time_millis: 8.82, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 8.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2888.7163, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.2932, scimark_benchmark: 1279.6745, usercpu_time_millis: 34.535, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 33.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9781, kappa: 0.9561, kb_relative_information_score: 2847.2301, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9986, recall: 0.9781, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2707, scimark_benchmark: 1256.1764, usercpu_time_millis: 37.618, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 35.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 2935.775, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2802, scimark_benchmark: 1245.1485, usercpu_time_millis: 44.98, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 44.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 2754.3168, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9559, predictive_accuracy: 0.9556, prior_entropy: 0.9986, recall: 0.9556, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3689, scimark_benchmark: 1277.2865, usercpu_time_millis: 6.985, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 6.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3091.3518, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1449, scimark_benchmark: 1253.7957, usercpu_time_millis: 172.334, usercpu_time_millis_testing: 9.142, usercpu_time_millis_training: 163.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3049.7459, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1719, scimark_benchmark: 1273.1589, usercpu_time_millis: 135.086, usercpu_time_millis_testing: 5.061, usercpu_time_millis_training: 130.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3136.2588, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1252, scimark_benchmark: 1256.1777, usercpu_time_millis: 86.945, usercpu_time_millis_testing: 2.72, usercpu_time_millis_training: 84.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3107.2619, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.1426, scimark_benchmark: 1271.0027, usercpu_time_millis: 14.922, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 14.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: -0.0115, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1276.5453, usercpu_time_millis: 18.133, usercpu_time_millis_testing: 2.383, usercpu_time_millis_training: 15.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7426, kappa: 0.506, kb_relative_information_score: 210.3291, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8215, predictive_accuracy: 0.7584, prior_entropy: 0.9986, recall: 0.7584, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9535, scimark_benchmark: 1264.6896, usercpu_time_millis: 23.955, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 21.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.383, kappa: 0.0246, kb_relative_information_score: 0.0643, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7536, predictive_accuracy: 0.5335, prior_entropy: 0.9986, recall: 0.5335, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.683, root_relative_squared_error: 1.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7364, kappa: 0.4988, kb_relative_information_score: 0.5092, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8334, predictive_accuracy: 0.7553, prior_entropy: 0.9986, recall: 0.7553, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 0.9893, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.146,

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