Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.764, kappa: 0.5238, kb_relative_information_score: 1267.8656, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7651, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 1823.4294, usercpu_time_millis: 1065.975, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 1064.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1485.8664, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1833.1288, usercpu_time_millis: 661.481, usercpu_time_millis_testing: 3.136, usercpu_time_millis_training: 658.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1365.9416, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7786, scimark_benchmark: 1832.6873, usercpu_time_millis: 509.434, usercpu_time_millis_testing: 4.688, usercpu_time_millis_training: 504.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.2018, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8718, scimark_benchmark: 1824.6916, usercpu_time_millis: 262.809, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 261.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7919, kappa: 0.5803, kb_relative_information_score: 1445.8272, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1838.0313, usercpu_time_millis: 120.1, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 119.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8063, kappa: 0.6094, kb_relative_information_score: 1488.4481, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7655, scimark_benchmark: 1851.497, usercpu_time_millis: 63.02, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 61.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 952.4832, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8788, scimark_benchmark: 1838.6023, usercpu_time_millis: 41.288, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 40.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7288, kappa: 0.4538, kb_relative_information_score: 388.5017, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9312, scimark_benchmark: 1818.4874, usercpu_time_millis: 41.374, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 39.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.091, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1822.3911, usercpu_time_millis: 6.126, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 5.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8038, kappa: 0.6042, kb_relative_information_score: 1640.8188, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758, scimark_benchmark: 1851.4874, usercpu_time_millis: 9793.872, usercpu_time_millis_testing: 4.885, usercpu_time_millis_training: 9788.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.794, kappa: 0.5844, kb_relative_information_score: 1549.1065, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7714, scimark_benchmark: 1858.6076, usercpu_time_millis: 9077.555, usercpu_time_millis_testing: 3.906, usercpu_time_millis_training: 9073.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1653.4096, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 1855.0232, usercpu_time_millis: 6605.081, usercpu_time_millis_testing: 4.419, usercpu_time_millis_training: 6600.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8061, kappa: 0.609, kb_relative_information_score: 1695.5364, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1783.4038, usercpu_time_millis: 6086.791, usercpu_time_millis_testing: 4.648, usercpu_time_millis_training: 6082.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1622.1695, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1731.5003, usercpu_time_millis: 5434.428, usercpu_time_millis_testing: 2.92, usercpu_time_millis_training: 5431.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1602.4314, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7634, scimark_benchmark: 1835.1963, usercpu_time_millis: 9933.421, usercpu_time_millis_testing: 4.815, usercpu_time_millis_training: 9928.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1511.7897, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1846.3057, usercpu_time_millis: 3266.184, usercpu_time_millis_testing: 3.024, usercpu_time_millis_training: 3263.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8096, kappa: 0.6159, kb_relative_information_score: 1704.3183, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1848.388, usercpu_time_millis: 1825.853, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 1823.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7903, kappa: 0.5771, kb_relative_information_score: 1474.2212, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7813, scimark_benchmark: 2133.8994, usercpu_time_millis: 1697.113, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 1695.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7888, kappa: 0.574, kb_relative_information_score: 1488.3461, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827, scimark_benchmark: 1846.2342, usercpu_time_millis: 1406.781, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 1405.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7666, kappa: 0.529, kb_relative_information_score: 1268.24, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.815, scimark_benchmark: 1849.3742, usercpu_time_millis: 1330.754, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 1328.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7774, kappa: 0.551, kb_relative_information_score: 1382.4449, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7996, scimark_benchmark: 1852.4008, usercpu_time_millis: 1227.74, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 1225.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7928, kappa: 0.5822, kb_relative_information_score: 1458.1169, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778, scimark_benchmark: 1854.0399, usercpu_time_millis: 1070.603, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 1068.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8039, kappa: 0.6044, kb_relative_information_score: 1673.8246, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1699.2539, usercpu_time_millis: 5806.274, usercpu_time_millis_testing: 2.433, usercpu_time_millis_training: 5803.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7981, kappa: 0.5927, kb_relative_information_score: 1580.5102, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1847.8629, usercpu_time_millis: 917.082, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 915.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7851, kappa: 0.5665, kb_relative_information_score: 1371.3599, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935, scimark_benchmark: 1849.8294, usercpu_time_millis: 906.373, usercpu_time_millis_testing: 2.967, usercpu_time_millis_training: 903.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7526, kappa: 0.501, kb_relative_information_score: 1261.6418, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8289, scimark_benchmark: 1839.693, usercpu_time_millis: 902.947, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 901.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7675, kappa: 0.5309, kb_relative_information_score: 1171.6635, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1853.9121, usercpu_time_millis: 586.264, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 584.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 936.8597, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8781, scimark_benchmark: 1854.4431, usercpu_time_millis: 336.762, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 335.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7978, kappa: 0.5922, kb_relative_information_score: 1309.6968, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1739.5413, usercpu_time_millis: 279.198, usercpu_time_millis_testing: 4.12, usercpu_time_millis_training: 275.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 949.8774, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1853.454, usercpu_time_millis: 216.102, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 215.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1525.7707, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1711.7149, usercpu_time_millis: 197.125, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 196.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 978.1237, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8449, scimark_benchmark: 1855.0232, usercpu_time_millis: 188.49, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 187.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1420.1809, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1857.1082, usercpu_time_millis: 179.677, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 177.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7801, kappa: 0.5563, kb_relative_information_score: 1328.0928, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8041, scimark_benchmark: 1737.7605, usercpu_time_millis: 171.092, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 170.235,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7726, kappa: 0.5412, kb_relative_information_score: 1376.389, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7732, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8048, scimark_benchmark: 1846.6923, usercpu_time_millis: 1084.086, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 1082.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1560.8419, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.767, scimark_benchmark: 1853.454, usercpu_time_millis: 1027.054, usercpu_time_millis_testing: 1.765, usercpu_time_millis_training: 1025.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.772, kappa: 0.5398, kb_relative_information_score: 1338.5779, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1852.9988, usercpu_time_millis: 907.319, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 906.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7505, kappa: 0.4968, kb_relative_information_score: 1226.3983, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8376, scimark_benchmark: 1855.0232, usercpu_time_millis: 878.768, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 877.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1494.8827, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1748.2694, usercpu_time_millis: 840.164, usercpu_time_millis_testing: 2.917, usercpu_time_millis_training: 837.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7797, kappa: 0.5555, kb_relative_information_score: 1306.9105, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8064, scimark_benchmark: 1855.0232, usercpu_time_millis: 681.691, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 680.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7978, kappa: 0.5922, kb_relative_information_score: 1246.5821, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1854.4431, usercpu_time_millis: 452.906, usercpu_time_millis_testing: 4.173, usercpu_time_millis_training: 448.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7648, kappa: 0.5255, kb_relative_information_score: 1181.0242, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8243, scimark_benchmark: 1853.9121, usercpu_time_millis: 375.914, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 373.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.779, kappa: 0.5541, kb_relative_information_score: 1354.349, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7793, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8037, scimark_benchmark: 1856.7258, usercpu_time_millis: 200.399, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 199.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 780.8841, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8833, scimark_benchmark: 1854.4431, usercpu_time_millis: 194.512, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 193.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 913.6379, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1748.3275, usercpu_time_millis: 28.209, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 27.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7369, kappa: 0.4712, kb_relative_information_score: 858.5182, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8721, scimark_benchmark: 1747.3957, usercpu_time_millis: 21.844, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 21.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0552, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1833.2814, usercpu_time_millis: 4.592, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 3.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1084, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 6.245, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 5.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0934, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 9.25, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 7.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0723, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1728.1202, usercpu_time_millis: 9.872, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 8.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7915, kappa: 0.5795, kb_relative_information_score: 1516.8042, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7791, scimark_benchmark: 1774.3244, usercpu_time_millis: 10394.134, usercpu_time_millis_testing: 3.382, usercpu_time_millis_training: 10390.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8046, kappa: 0.6058, kb_relative_information_score: 1652.9927, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1735.1546, usercpu_time_millis: 10365.48, usercpu_time_millis_testing: 4.98, usercpu_time_millis_training: 10360.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.791, kappa: 0.5784, kb_relative_information_score: 1501.3967, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 1727.9868, usercpu_time_millis: 6454.33, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 6451.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1708.1064, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507, scimark_benchmark: 1745.8807, usercpu_time_millis: 6320.799, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 6316.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1580.3056, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1727.4447, usercpu_time_millis: 4194.666, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 4191.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8066, kappa: 0.61, kb_relative_information_score: 1718.4711, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7524, scimark_benchmark: 1738.3274, usercpu_time_millis: 4011.797, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 4009.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1646.7124, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7572, scimark_benchmark: 1754.928, usercpu_time_millis: 3915.399, usercpu_time_millis_testing: 3.031, usercpu_time_millis_training: 3912.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7977, kappa: 0.5919, kb_relative_information_score: 1564.0596, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1735.5975, usercpu_time_millis: 2268.924, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 2267.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1621.0294, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7546, scimark_benchmark: 1737.4645, usercpu_time_millis: 3010.147, usercpu_time_millis_testing: 4.315, usercpu_time_millis_training: 3005.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8026, kappa: 0.6017, kb_relative_information_score: 1661.2773, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1734.693, usercpu_time_millis: 2388.483, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 2386.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1421.9308, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7905, scimark_benchmark: 1731.5003, usercpu_time_millis: 1158.446, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 1157.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7776, kappa: 0.5513, kb_relative_information_score: 1380.9015, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1735.5975, usercpu_time_millis: 1828.84, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 1827.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7364, kappa: 0.4702, kb_relative_information_score: 847.9272, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8753, scimark_benchmark: 1731.5618, usercpu_time_millis: 297.036, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 295.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8085, kappa: 0.6137, kb_relative_information_score: 1660.499, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7522, scimark_benchmark: 1737.2983, usercpu_time_millis: 1430.753, usercpu_time_millis_testing: 1.985, usercpu_time_millis_training: 1428.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8009, kappa: 0.5983, kb_relative_information_score: 1506.2355, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1717.041, usercpu_time_millis: 234.983, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 233.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7741, kappa: 0.5442, kb_relative_information_score: 1271.2525, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8128, scimark_benchmark: 1734.5659, usercpu_time_millis: 1211.82, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 1209.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7527, kappa: 0.5011, kb_relative_information_score: 918.7036, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8551, scimark_benchmark: 1714.7312, usercpu_time_millis: 65.284, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 64.363,

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