OpenML
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.6586, kappa: 0.1232, kb_relative_information_score: 24.4238, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6536, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.953, scimark_benchmark: 2172.3157, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 25.0972, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9601, scimark_benchmark: 1829.4101, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 25.0972, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9601, scimark_benchmark: 1823.9243, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.671, kappa: 0.1818, kb_relative_information_score: 31.014, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6661, predictive_accuracy: 0.6775, prior_entropy: 0.8651, recall: 0.6775, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9897, scimark_benchmark: 1200.6373, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6641, kappa: 0.1678, kb_relative_information_score: 32.9614, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9972, scimark_benchmark: 1196.2751, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6742, kappa: 0.1734, kb_relative_information_score: 25.6312, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6662, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9665, scimark_benchmark: 1836.8028, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6696, kappa: 0.1854, kb_relative_information_score: 35.9675, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6671, predictive_accuracy: 0.6724, prior_entropy: 0.8651, recall: 0.6724, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0066, scimark_benchmark: 1827.0167, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.6612, kappa: 0.1323, kb_relative_information_score: 24.9921, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6535, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.957, scimark_benchmark: 1821.0631, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6797, kappa: 0.189, kb_relative_information_score: 25.8943, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6722, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9711, scimark_benchmark: 1834.0253, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6641, kappa: 0.1678, kb_relative_information_score: 32.9614, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9972, scimark_benchmark: 1826.032, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6598, kappa: 0.1264, kb_relative_information_score: 24.3638, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6556, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9525, scimark_benchmark: 1822.4368, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.671, kappa: 0.1818, kb_relative_information_score: 31.014, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6661, predictive_accuracy: 0.6775, prior_entropy: 0.8651, recall: 0.6775, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9897, scimark_benchmark: 2151.9028, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.676, kappa: 0.1798, kb_relative_information_score: 25.7369, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9687, scimark_benchmark: 1826.2999, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.673, kappa: 0.2114, kb_relative_information_score: 66.2995, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6779, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.1696, scimark_benchmark: 1829.3396, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.6586, kappa: 0.1232, kb_relative_information_score: 24.4238, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6536, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.953, scimark_benchmark: 1838.1172, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6669, kappa: 0.1767, kb_relative_information_score: 40.187, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6636, predictive_accuracy: 0.6707, prior_entropy: 0.8651, recall: 0.6707, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0188, scimark_benchmark: 1829.3396, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6669, kappa: 0.1767, kb_relative_information_score: 40.187, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6636, predictive_accuracy: 0.6707, prior_entropy: 0.8651, recall: 0.6707, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0188, scimark_benchmark: 1830.5333, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.673, kappa: 0.2114, kb_relative_information_score: 58.715, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6779, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.498, root_relative_squared_error: 1.1016, scimark_benchmark: 1829.6566, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6806, kappa: 0.1922, kb_relative_information_score: 26.2361, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6732, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9737, scimark_benchmark: 1827.5196, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 25.0972, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9601, scimark_benchmark: 1828.5156, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.6586, kappa: 0.1232, kb_relative_information_score: 24.4238, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6536, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.953, scimark_benchmark: 1824.2983, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 25.0972, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9601, scimark_benchmark: 1822.8745, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.676, kappa: 0.1798, kb_relative_information_score: 25.7369, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9687, scimark_benchmark: 1832.1401, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.673, kappa: 0.2114, kb_relative_information_score: 66.2995, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6779, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.1696, scimark_benchmark: 1825.5292, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6613, kappa: 0.1318, kb_relative_information_score: 24.8757, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9555, scimark_benchmark: 1828.0251, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6744, kappa: 0.1689, kb_relative_information_score: 25.2758, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9613, scimark_benchmark: 1829.0901, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6742, kappa: 0.1734, kb_relative_information_score: 25.6312, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6662, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9665, scimark_benchmark: 2169.0976, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6697, kappa: 0.1686, kb_relative_information_score: 29.3638, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.6827, prior_entropy: 0.8651, recall: 0.6827, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9843, scimark_benchmark: 1821.9339, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.6612, kappa: 0.1323, kb_relative_information_score: 24.9921, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6535, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.957, scimark_benchmark: 2171.9091, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6696, kappa: 0.1854, kb_relative_information_score: 35.9675, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6671, predictive_accuracy: 0.6724, prior_entropy: 0.8651, recall: 0.6724, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0066, scimark_benchmark: 2171.9091, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6697, kappa: 0.1686, kb_relative_information_score: 29.3638, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.6827, prior_entropy: 0.8651, recall: 0.6827, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9843, scimark_benchmark: 1827.3934, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6598, kappa: 0.1264, kb_relative_information_score: 24.3638, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6556, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9525, scimark_benchmark: 1826.1458, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6742, kappa: 0.1734, kb_relative_information_score: 25.6312, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6662, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9665, scimark_benchmark: 1832.0209, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.6586, kappa: 0.1232, kb_relative_information_score: 24.4238, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6536, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.953, scimark_benchmark: 1203.514, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6669, kappa: 0.1767, kb_relative_information_score: 40.187, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6636, predictive_accuracy: 0.6707, prior_entropy: 0.8651, recall: 0.6707, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0188, scimark_benchmark: 1205.7461, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 0.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6806, kappa: 0.1922, kb_relative_information_score: 26.2361, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6732, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9737, scimark_benchmark: 1843.1408, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6696, kappa: 0.1854, kb_relative_information_score: 35.9675, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6671, predictive_accuracy: 0.6724, prior_entropy: 0.8651, recall: 0.6724, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0066, scimark_benchmark: 1844.0176, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6625, kappa: 0.1354, kb_relative_information_score: 24.9376, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6553, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9562, scimark_benchmark: 1842.7031, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6769, kappa: 0.183, kb_relative_information_score: 26.8578, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6693, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9766, scimark_benchmark: 1826.6487, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.6674, kappa: 0.149, kb_relative_information_score: 24.9807, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6602, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9579, scimark_benchmark: 1819.3761, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.671, kappa: 0.1818, kb_relative_information_score: 31.014, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6661, predictive_accuracy: 0.6775, prior_entropy: 0.8651, recall: 0.6775, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9897, scimark_benchmark: 1821.3725, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6641, kappa: 0.1678, kb_relative_information_score: 32.9614, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9972, scimark_benchmark: 2156.833, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6744, kappa: 0.1689, kb_relative_information_score: 25.476, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9627, scimark_benchmark: 1823.4506, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6613, kappa: 0.1318, kb_relative_information_score: 24.8757, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9555, scimark_benchmark: 1829.0184, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.6638, kappa: 0.1369, kb_relative_information_score: 24.5493, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6596, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9536, scimark_benchmark: 1831.1441, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.673, kappa: 0.2114, kb_relative_information_score: 66.2995, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6779, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.1696, scimark_benchmark: 1824.8011, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.666, kappa: 0.1801, kb_relative_information_score: 45.2099, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6649, predictive_accuracy: 0.6672, prior_entropy: 0.8651, recall: 0.6672, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4687, root_relative_squared_error: 1.0368, scimark_benchmark: 1831.5181, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.6586, kappa: 0.1232, kb_relative_information_score: 24.4238, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6536, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.953, scimark_benchmark: 1827.8935, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6744, kappa: 0.1689, kb_relative_information_score: 25.476, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9627, scimark_benchmark: 2173.1473, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6806, kappa: 0.1922, kb_relative_information_score: 26.2361, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6732, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9737, scimark_benchmark: 2171.9091, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6651, kappa: 0.1405, kb_relative_information_score: 24.7035, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6606, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9541, scimark_benchmark: 1828.4628, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6696, kappa: 0.1854, kb_relative_information_score: 35.9675, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6671, predictive_accuracy: 0.6724, prior_entropy: 0.8651, recall: 0.6724, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0066, scimark_benchmark: 1838.9883, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6651, kappa: 0.1405, kb_relative_information_score: 24.7035, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6606, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9541, scimark_benchmark: 1828.2198, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6702, kappa: 0.1601, kb_relative_information_score: 25.5459, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9644, scimark_benchmark: 1833.5223, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.676, kappa: 0.1798, kb_relative_information_score: 25.7369, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9687, scimark_benchmark: 1824.8676, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6744, kappa: 0.1689, kb_relative_information_score: 25.2758, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9613, scimark_benchmark: 1823.4215, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 25.0972, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9601, scimark_benchmark: 1830.0305, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6702, kappa: 0.1601, kb_relative_information_score: 25.5459, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9644, scimark_benchmark: 1832.8771, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.6674, kappa: 0.149, kb_relative_information_score: 24.9807, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6602, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9579, scimark_benchmark: 2138.6272, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.676, kappa: 0.1798, kb_relative_information_score: 25.7369, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9687, scimark_benchmark: 1190.7948, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6641, kappa: 0.1678, kb_relative_information_score: 32.9614, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.669, prior_entropy: 0.8651, recall: 0.669, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9972, scimark_benchmark: 1184.6213, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6696, kappa: 0.1854, kb_relative_information_score: 35.9675, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6671, predictive_accuracy: 0.6724, prior_entropy: 0.8651, recall: 0.6724, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0066, scimark_benchmark: 1826.032, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6797, kappa: 0.189, kb_relative_information_score: 25.8943, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6722, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9711, scimark_benchmark: 1825.5982, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.66, kappa: 0.1281, kb_relative_information_score: 24.8172, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6531, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9548, scimark_benchmark: 1823.4215, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.676, kappa: 0.1798, kb_relative_information_score: 25.7369, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9687, scimark_benchmark: 1821.7404, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6702, kappa: 0.1601, kb_relative_information_score: 25.5459, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9644, scimark_benchmark: 1821.2242, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6806, kappa: 0.1922, kb_relative_information_score: 26.2361, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6732, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9737, scimark_benchmark: 1824.362, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6806, kappa: 0.1922, kb_relative_information_score: 26.2361, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6732, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9737, scimark_benchmark: 2166.284, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.004,

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