OpenML
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: 0.8774, f_measure: 0.809, kappa: 0.6147, kb_relative_information_score: 1635.7009, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537, scimark_benchmark: 1805.8094, usercpu_time_millis: 2022.174, usercpu_time_millis_testing: 2.553, usercpu_time_millis_training: 2019.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7798, kappa: 0.5557, kb_relative_information_score: 1362.7711, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8011, scimark_benchmark: 1478.2485, usercpu_time_millis: 1932.946, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 1929.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7814, kappa: 0.559, kb_relative_information_score: 1396.7905, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7962, scimark_benchmark: 2075.9423, usercpu_time_millis: 1757.162, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 1754.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1612.3308, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1844.2935, usercpu_time_millis: 6582.251, usercpu_time_millis_testing: 3.685, usercpu_time_millis_training: 6578.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1272.275, mean_absolute_error: 0.3468, 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: 0.6987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8001, scimark_benchmark: 1801.1155, usercpu_time_millis: 826.154, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 823.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7861, kappa: 0.5684, kb_relative_information_score: 1342.9414, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7866, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7951, scimark_benchmark: 1812.88, usercpu_time_millis: 713.721, usercpu_time_millis_testing: 2.724, usercpu_time_millis_training: 710.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1261.0233, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1803.1904, usercpu_time_millis: 726.073, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 723.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.783, kappa: 0.5621, kb_relative_information_score: 1341.9914, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7948, scimark_benchmark: 1734.2336, usercpu_time_millis: 785.073, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 781.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7652, kappa: 0.5262, kb_relative_information_score: 1212.2094, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8208, scimark_benchmark: 1739.6873, usercpu_time_millis: 585.323, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 583.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1471.9385, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 2076.1317, usercpu_time_millis: 497.973, usercpu_time_millis_testing: 2.851, usercpu_time_millis_training: 495.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7947, kappa: 0.5859, kb_relative_information_score: 1441.127, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7951, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7794, scimark_benchmark: 1841.0471, usercpu_time_millis: 487.553, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 485.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8009, kappa: 0.5983, kb_relative_information_score: 1378.0436, mean_absolute_error: 0.3335, 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: 0.6718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1831.6658, usercpu_time_millis: 483.325, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 479.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7842, kappa: 0.5648, kb_relative_information_score: 1163.2467, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8122, scimark_benchmark: 1805.717, usercpu_time_millis: 293.859, usercpu_time_millis_testing: 3.729, usercpu_time_millis_training: 290.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7899, kappa: 0.5762, kb_relative_information_score: 1575.8775, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7768, scimark_benchmark: 1767.6602, usercpu_time_millis: 200.565, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 199.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 948.1525, mean_absolute_error: 0.3904, 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: 0.7863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1751.0356, usercpu_time_millis: 172.7, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 171.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7613, kappa: 0.5184, kb_relative_information_score: 1071.777, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.762, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8313, scimark_benchmark: 1741.0916, usercpu_time_millis: 102.044, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 100.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7475, kappa: 0.4906, kb_relative_information_score: 864.1397, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 1805.1562, usercpu_time_millis: 27.259, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 26.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1645, 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: 1811.776, usercpu_time_millis: 6.964, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 5.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0182, 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: 1802.4236, usercpu_time_millis: 8.965, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 7.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0298, 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: 1810.5539, usercpu_time_millis: 9.065, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 7.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1672.3411, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8056, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1819.5285, usercpu_time_millis: 10740.778, usercpu_time_millis_testing: 3.705, usercpu_time_millis_training: 10737.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1662.9804, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1774.3191, usercpu_time_millis: 10682.369, usercpu_time_millis_testing: 4.717, usercpu_time_millis_training: 10677.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7894, kappa: 0.5751, kb_relative_information_score: 1462.885, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7835, scimark_benchmark: 782.9474, usercpu_time_millis: 3400.75, usercpu_time_millis_testing: 5.505, usercpu_time_millis_training: 3395.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1666.9819, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7477, scimark_benchmark: 779.2687, usercpu_time_millis: 2584.871, usercpu_time_millis_testing: 7.474, usercpu_time_millis_training: 2577.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8045, kappa: 0.6057, kb_relative_information_score: 1490.7163, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7683, scimark_benchmark: 784.776, usercpu_time_millis: 2466.536, usercpu_time_millis_testing: 6.893, usercpu_time_millis_training: 2459.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8084, kappa: 0.6136, kb_relative_information_score: 1704.4836, mean_absolute_error: 0.2865, 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: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7505, scimark_benchmark: 1815.2515, usercpu_time_millis: 1725.173, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 1723.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8036, kappa: 0.6037, kb_relative_information_score: 1516.155, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656, scimark_benchmark: 1822.1004, usercpu_time_millis: 1663.566, usercpu_time_millis_testing: 4.503, usercpu_time_millis_training: 1659.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7951, kappa: 0.5868, kb_relative_information_score: 1346.7047, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7885, scimark_benchmark: 1835.8892, usercpu_time_millis: 1323.408, usercpu_time_millis_testing: 4.078, usercpu_time_millis_training: 1319.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1614.7952, mean_absolute_error: 0.3002, 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: 0.6048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7534, scimark_benchmark: 1759.5639, usercpu_time_millis: 936.79, usercpu_time_millis_testing: 1.856, usercpu_time_millis_training: 934.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7668, kappa: 0.5295, kb_relative_information_score: 1256.3413, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.818, scimark_benchmark: 1827.25, usercpu_time_millis: 739.974, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 738.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7711, kappa: 0.5382, kb_relative_information_score: 1230.1229, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7715, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155, scimark_benchmark: 1810.3093, usercpu_time_millis: 520.741, usercpu_time_millis_testing: 2.747, usercpu_time_millis_training: 517.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1309.2522, mean_absolute_error: 0.3423, 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: 0.6896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7917, scimark_benchmark: 1835.7575, usercpu_time_millis: 374.274, usercpu_time_millis_testing: 3.748, usercpu_time_millis_training: 370.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8022, kappa: 0.6011, kb_relative_information_score: 1459.1916, mean_absolute_error: 0.3221, 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: 0.6488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7723, scimark_benchmark: 1831.5824, usercpu_time_millis: 342.918, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 340.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7597, kappa: 0.5155, kb_relative_information_score: 1258.6246, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8259, scimark_benchmark: 1794.7547, usercpu_time_millis: 258.77, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 257.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.785, kappa: 0.5663, kb_relative_information_score: 1194.9331, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.808, scimark_benchmark: 1815.1714, usercpu_time_millis: 223.503, usercpu_time_millis_testing: 2.819, usercpu_time_millis_training: 220.684,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7605, kappa: 0.517, kb_relative_information_score: 1259.8016, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1795.4086, usercpu_time_millis: 960.392, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 958.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7734, kappa: 0.5429, kb_relative_information_score: 1366.2277, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1775.493, usercpu_time_millis: 761.798, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 760.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7565, kappa: 0.5087, kb_relative_information_score: 1328.7569, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8143, scimark_benchmark: 769.4305, usercpu_time_millis: 409.735, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 408.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1578.6024, mean_absolute_error: 0.3049, 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: 0.6142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.763, scimark_benchmark: 1795.5174, usercpu_time_millis: 411.926, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 410.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7665, kappa: 0.5288, kb_relative_information_score: 1220.2818, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 1759.8413, usercpu_time_millis: 271.801, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 270.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.6941, kappa: 0.3858, kb_relative_information_score: 407.0361, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7057, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271, scimark_benchmark: 1796.8477, usercpu_time_millis: 24.081, usercpu_time_millis_testing: 2.218, usercpu_time_millis_training: 21.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7237, kappa: 0.4424, kb_relative_information_score: 715.2867, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7247, predictive_accuracy: 0.7251, prior_entropy: 0.9948, recall: 0.7251, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8814, scimark_benchmark: 1750.5054, usercpu_time_millis: 5.687, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 4.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.5914, kappa: 0.2264, kb_relative_information_score: 172.7798, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6763, predictive_accuracy: 0.6342, prior_entropy: 0.9948, recall: 0.6342, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9687, scimark_benchmark: 1811.4009, usercpu_time_millis: 11.987, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 10.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7131, kappa: 0.4212, kb_relative_information_score: 608.1532, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7152, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8943, scimark_benchmark: 1939.4371, usercpu_time_millis: 10.043, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 8.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7348, kappa: 0.4648, kb_relative_information_score: 709.9905, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1768.9462, usercpu_time_millis: 27.829, usercpu_time_millis_testing: 1.922, usercpu_time_millis_training: 25.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7422, kappa: 0.4798, kb_relative_information_score: 816.2616, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 765.2386, usercpu_time_millis: 62.848, usercpu_time_millis_testing: 5.541, usercpu_time_millis_training: 57.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6349, kappa: 0.2886, kb_relative_information_score: 212.2785, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6856, predictive_accuracy: 0.6601, prior_entropy: 0.9948, recall: 0.6601, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9617, scimark_benchmark: 779.6468, usercpu_time_millis: 25.939, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 23.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7512, kappa: 0.4979, kb_relative_information_score: 967.5295, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8474, scimark_benchmark: 1776.1591, usercpu_time_millis: 93.605, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 92.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.6814, kappa: 0.3598, kb_relative_information_score: 424.0572, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6907, predictive_accuracy: 0.6878, prior_entropy: 0.9948, recall: 0.6878, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9254, scimark_benchmark: 1816.3273, usercpu_time_millis: 23.139, usercpu_time_millis_testing: 2.444, usercpu_time_millis_training: 20.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 926.9449, mean_absolute_error: 0.3931, 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: 0.7919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1787.7222, usercpu_time_millis: 119.048, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 118.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.5127, kappa: 0.139, kb_relative_information_score: 133.8835, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7005, predictive_accuracy: 0.5998, prior_entropy: 0.9948, recall: 0.5998, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9756, scimark_benchmark: 1768.1676, usercpu_time_millis: 10.659, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 9.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1279, 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: 1798.284, usercpu_time_millis: 6.713, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 5.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7866, kappa: 0.5694, kb_relative_information_score: 1448.0546, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1779.1434, usercpu_time_millis: 37.039, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 36.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0675, 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: 1792.7722, usercpu_time_millis: 6.639, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 5.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: -0.475, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1929.4937, usercpu_time_millis: 4.976, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 4.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7798, kappa: 0.5559, kb_relative_information_score: 1414.1851, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1826.2443, usercpu_time_millis: 2084.902, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 2082.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8052, kappa: 0.6072, kb_relative_information_score: 1585.5487, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573, scimark_benchmark: 769.9295, usercpu_time_millis: 1363.737, usercpu_time_millis_testing: 4.126, usercpu_time_millis_training: 1359.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1572.8702, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 759.1865, usercpu_time_millis: 706.196, usercpu_time_millis_testing: 3.938, usercpu_time_millis_training: 702.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1400.0609, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1826.7202, usercpu_time_millis: 461.668, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 458.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.746, kappa: 0.488, kb_relative_information_score: 1175.1659, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8394, scimark_benchmark: 763.2905, usercpu_time_millis: 478.136, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 476.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7993, kappa: 0.5953, kb_relative_information_score: 1712.4277, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 758.9052, usercpu_time_millis: 369.475, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 367.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7694, kappa: 0.5348, kb_relative_information_score: 1247.5969, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8166, scimark_benchmark: 1773.1323, usercpu_time_millis: 176.785, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 175.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7619, kappa: 0.5195, kb_relative_information_score: 1128.3239, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1742.3853, usercpu_time_millis: 110.301, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 109.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0368, 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: 1789.3986, usercpu_time_millis: 7.341, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 6.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1055, 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: 1771.3901, usercpu_time_millis: 6.875, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 5.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7423, kappa: 0.48, kb_relative_information_score: 672.75, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8868, scimark_benchmark: 1774.9237, usercpu_time_millis: 34.455, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 33.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0256, 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: 1755.4395, usercpu_time_millis: 6.159, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 5.164,

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