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: 0.8397, f_measure: 0.7551, kappa: 0.5061, kb_relative_information_score: 798.6507, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8604, scimark_benchmark: 1843.657, usercpu_time_millis: 11.353, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 10.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.3012, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1761.9415, usercpu_time_millis: 4.9, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 4.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1771, 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: 1789.2408, usercpu_time_millis: 8.27, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 6.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0151, 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: 1835.093, usercpu_time_millis: 6.763, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 5.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1715.7363, mean_absolute_error: 0.2848, 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: 0.5736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7514, scimark_benchmark: 2122.8515, usercpu_time_millis: 8039.148, usercpu_time_millis_testing: 3.742, usercpu_time_millis_training: 8035.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7922, kappa: 0.5808, kb_relative_information_score: 1519.7882, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7923, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.775, scimark_benchmark: 1841.6148, usercpu_time_millis: 7852.103, usercpu_time_millis_testing: 4.4, usercpu_time_millis_training: 7847.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8062, kappa: 0.6091, kb_relative_information_score: 1620.736, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1730.591, usercpu_time_millis: 6864.585, usercpu_time_millis_testing: 3.062, usercpu_time_millis_training: 6861.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1571.4943, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7618, scimark_benchmark: 1849.3014, usercpu_time_millis: 4053.896, usercpu_time_millis_testing: 4.864, usercpu_time_millis_training: 4049.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8108, kappa: 0.6185, kb_relative_information_score: 1721.7435, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7459, scimark_benchmark: 1831.5961, usercpu_time_millis: 2783.03, usercpu_time_millis_testing: 4.792, usercpu_time_millis_training: 2778.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7844, kappa: 0.5651, kb_relative_information_score: 1418.2949, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.785, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1853.9121, usercpu_time_millis: 2333.937, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 2332.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7473, kappa: 0.4907, kb_relative_information_score: 1232.5605, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8299, scimark_benchmark: 1853.3841, usercpu_time_millis: 2090.381, usercpu_time_millis_testing: 1.98, usercpu_time_millis_training: 2088.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7918, kappa: 0.5801, kb_relative_information_score: 1476.7183, mean_absolute_error: 0.3186, 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: 0.6417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 1855.4813, usercpu_time_millis: 1714.967, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 1712.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7975, kappa: 0.5917, kb_relative_information_score: 1494.0414, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.772, scimark_benchmark: 1850.8185, usercpu_time_millis: 1719.01, usercpu_time_millis_testing: 3.847, usercpu_time_millis_training: 1715.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.805, kappa: 0.6067, kb_relative_information_score: 1547.3591, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1843.3864, usercpu_time_millis: 670.719, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 669.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 886.0937, mean_absolute_error: 0.3985, 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: 0.8027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8785, scimark_benchmark: 1824.7072, usercpu_time_millis: 372.879, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 371.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7647, kappa: 0.5252, kb_relative_information_score: 1149.6285, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8245, scimark_benchmark: 1845.779, usercpu_time_millis: 501.844, usercpu_time_millis_testing: 2.163, usercpu_time_millis_training: 499.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7726, kappa: 0.5412, kb_relative_information_score: 1274.1566, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8119, scimark_benchmark: 1848.7304, usercpu_time_millis: 250.434, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 249.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7583, kappa: 0.5123, kb_relative_information_score: 1179.7002, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826, scimark_benchmark: 1849.7595, usercpu_time_millis: 37.354, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 36.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7967, kappa: 0.5898, kb_relative_information_score: 1521.5376, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1840.1791, usercpu_time_millis: 27.243, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 26.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 931.5562, mean_absolute_error: 0.3926, 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: 0.7908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8745, scimark_benchmark: 1848.8462, usercpu_time_millis: 39.562, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 38.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0197, 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: 1841.6688, usercpu_time_millis: 6.898, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 5.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7927, kappa: 0.5818, kb_relative_information_score: 1573.954, mean_absolute_error: 0.3036, 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: 0.6116, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7752, scimark_benchmark: 1736.8457, usercpu_time_millis: 11283.825, usercpu_time_millis_testing: 4.443, usercpu_time_millis_training: 11279.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7972, kappa: 0.5908, kb_relative_information_score: 1589.5614, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1720.0398, usercpu_time_millis: 6242.38, usercpu_time_millis_testing: 3.312, usercpu_time_millis_training: 6239.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7922, kappa: 0.5809, kb_relative_information_score: 1506.0842, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7923, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7765, scimark_benchmark: 1842.7105, usercpu_time_millis: 2749.905, usercpu_time_millis_testing: 3.026, usercpu_time_millis_training: 2746.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7908, kappa: 0.5781, kb_relative_information_score: 1427.7101, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1832.5658, usercpu_time_millis: 1839.129, usercpu_time_millis_testing: 3.004, usercpu_time_millis_training: 1836.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8122, kappa: 0.6213, kb_relative_information_score: 1645.5443, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1881.1611, usercpu_time_millis: 1873.01, usercpu_time_millis_testing: 3.664, usercpu_time_millis_training: 1869.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8081, kappa: 0.6129, kb_relative_information_score: 1584.3641, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1783.1935, usercpu_time_millis: 1814.514, usercpu_time_millis_testing: 4.286, usercpu_time_millis_training: 1810.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.81, kappa: 0.6168, kb_relative_information_score: 1579.0554, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7558, scimark_benchmark: 1844.2676, usercpu_time_millis: 983.149, usercpu_time_millis_testing: 2.955, usercpu_time_millis_training: 980.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8043, kappa: 0.6054, kb_relative_information_score: 1763.0296, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1843.7454, usercpu_time_millis: 839.652, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 838.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1520.2334, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7739, scimark_benchmark: 1847.3406, usercpu_time_millis: 495.401, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 494.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7875, kappa: 0.5713, kb_relative_information_score: 1391.9296, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.787, scimark_benchmark: 1792.6157, usercpu_time_millis: 498.339, usercpu_time_millis_testing: 2.071, usercpu_time_millis_training: 496.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7577, kappa: 0.5114, kb_relative_information_score: 1248.0657, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8238, scimark_benchmark: 1727.4786, usercpu_time_millis: 360.725, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 359.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 946.2116, mean_absolute_error: 0.3906, 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: 0.7869, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1822.549, usercpu_time_millis: 135.204, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 134.163,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7464, kappa: 0.4886, kb_relative_information_score: 840.9733, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8609, scimark_benchmark: 1739.903, usercpu_time_millis: 81.225, usercpu_time_millis_testing: 1.854, usercpu_time_millis_training: 79.371,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8048, kappa: 0.6062, kb_relative_information_score: 1570.0619, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1833.6579, usercpu_time_millis: 2810.721, usercpu_time_millis_testing: 3.577, usercpu_time_millis_training: 2807.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7971, kappa: 0.5908, kb_relative_information_score: 1565.5032, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1849.3014, usercpu_time_millis: 3089.385, usercpu_time_millis_testing: 2.107, usercpu_time_millis_training: 3087.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7649, kappa: 0.5257, kb_relative_information_score: 1348.4095, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1824.282, usercpu_time_millis: 5561.648, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 5559.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8031, kappa: 0.603, kb_relative_information_score: 1561.342, mean_absolute_error: 0.3074, 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: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1910.4004, usercpu_time_millis: 1116.042, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 1113.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7889, kappa: 0.5743, kb_relative_information_score: 1391.7101, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894, scimark_benchmark: 1795.4034, usercpu_time_millis: 589.972, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 587.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1611.5576, mean_absolute_error: 0.3002, 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: 0.6048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.759, scimark_benchmark: 1825.9884, usercpu_time_millis: 1545.426, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 1543.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7899, kappa: 0.5762, kb_relative_information_score: 1490.0413, mean_absolute_error: 0.3161, 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: 0.6368, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7817, scimark_benchmark: 1748.8723, usercpu_time_millis: 1087.795, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 1086.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7567, kappa: 0.5092, kb_relative_information_score: 1122.9407, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8326, scimark_benchmark: 1790.723, usercpu_time_millis: 880.8, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 878.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.788, kappa: 0.5723, kb_relative_information_score: 1455.5189, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7884, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7871, scimark_benchmark: 1763.953, usercpu_time_millis: 746.219, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 744.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.745, kappa: 0.4855, kb_relative_information_score: 818.8981, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.746, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8648, scimark_benchmark: 1745.4163, usercpu_time_millis: 122.939, usercpu_time_millis_testing: 2.35, usercpu_time_millis_training: 120.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7688, kappa: 0.5334, kb_relative_information_score: 1241.2901, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1798.2089, usercpu_time_millis: 87.19, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 86.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0476, 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: 1761.726, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 7.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1595.1299, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1848.388, usercpu_time_millis: 279.828, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 278.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 975.2991, mean_absolute_error: 0.3867, 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: 0.7789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1726.5817, usercpu_time_millis: 26.299, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 25.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7875, kappa: 0.5713, kb_relative_information_score: 1421.8206, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1748.0254, usercpu_time_millis: 62.954, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 62.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7847, kappa: 0.5657, kb_relative_information_score: 1373.278, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963, scimark_benchmark: 1729.3292, usercpu_time_millis: 373.786, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 372.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1045, 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: 1747.5676, usercpu_time_millis: 7.383, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 6.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7449, kappa: 0.4853, kb_relative_information_score: 720.1428, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.882, scimark_benchmark: 1778.9851, usercpu_time_millis: 208.966, usercpu_time_millis_testing: 1.935, usercpu_time_millis_training: 207.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0037, 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: 1904.3407, usercpu_time_millis: 7.57, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 6.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1533, 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: 1744.8237, usercpu_time_millis: 5.309, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 4.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1567.5516, mean_absolute_error: 0.3061, 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: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1862.7315, usercpu_time_millis: 11984.64, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 11979.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7932, kappa: 0.583, kb_relative_information_score: 1796.166, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7723, scimark_benchmark: 1752.0039, usercpu_time_millis: 6570.612, usercpu_time_millis_testing: 2.645, usercpu_time_millis_training: 6567.967,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8008, kappa: 0.5983, kb_relative_information_score: 1787.4924, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573, scimark_benchmark: 1828.672, usercpu_time_millis: 3489.937, usercpu_time_millis_testing: 2.375, usercpu_time_millis_training: 3487.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1641.7799, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7611, scimark_benchmark: 1777.6693, usercpu_time_millis: 3355.955, usercpu_time_millis_testing: 1.967, usercpu_time_millis_training: 3353.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8018, kappa: 0.6002, kb_relative_information_score: 1598.89, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7613, scimark_benchmark: 1773.9864, usercpu_time_millis: 2391.297, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 2388.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1461.9968, mean_absolute_error: 0.3203, 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: 0.6452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7854, scimark_benchmark: 2132.7763, usercpu_time_millis: 1881.996, usercpu_time_millis_testing: 1.979, usercpu_time_millis_training: 1880.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7788, kappa: 0.5538, kb_relative_information_score: 1386.3179, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7794, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7995, scimark_benchmark: 1737.1229, usercpu_time_millis: 1993.68, usercpu_time_millis_testing: 2.187, usercpu_time_millis_training: 1991.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7811, kappa: 0.5584, kb_relative_information_score: 1391.5373, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.798, scimark_benchmark: 1740.0101, usercpu_time_millis: 1735.57, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 1733.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7845, kappa: 0.5655, kb_relative_information_score: 1127.7039, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8157, scimark_benchmark: 1656.1869, usercpu_time_millis: 330.353, usercpu_time_millis_testing: 3.813, usercpu_time_millis_training: 326.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0002, 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: 1833.1413, usercpu_time_millis: 5.472, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.0232, 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: 1864.313, usercpu_time_millis: 5.252, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 4.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7562, kappa: 0.5082, kb_relative_information_score: 1333.7765, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 2142.491, usercpu_time_millis: 2199.259, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 2197.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8019, kappa: 0.6004, kb_relative_information_score: 1457.366, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1716.3668, usercpu_time_millis: 1681.579, usercpu_time_millis_testing: 4.005, usercpu_time_millis_training: 1677.574,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs