Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7735, kappa: 0.543, kb_relative_information_score: 1190.4031, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8144, scimark_benchmark: 1722.5417, usercpu_time_millis: 221.19, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 219.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 920.4148, mean_absolute_error: 0.394, 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: 0.7938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, scimark_benchmark: 1864.1769, usercpu_time_millis: 147.348, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 145.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7847, kappa: 0.5656, kb_relative_information_score: 1390.2326, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7928, scimark_benchmark: 1071.5765, usercpu_time_millis: 2784.305, usercpu_time_millis_testing: 4.16, usercpu_time_millis_training: 2780.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 783.8612, mean_absolute_error: 0.4113, 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: 0.8285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1723.9607, usercpu_time_millis: 52.803, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 51.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 780.6148, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8779, scimark_benchmark: 1716.9407, usercpu_time_millis: 29.077, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 28.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1965, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1728.8162, usercpu_time_millis: 9.126, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 7.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0419, 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: 1726.9824, usercpu_time_millis: 10.015, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.6081, 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: 1722.6507, usercpu_time_millis: 5.441, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0995, 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: 1731.0996, usercpu_time_millis: 6.581, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 5.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7542, kappa: 0.5041, kb_relative_information_score: 1313.4659, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8189, scimark_benchmark: 1694.0463, usercpu_time_millis: 227.926, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 227.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7513, kappa: 0.4982, kb_relative_information_score: 1156.0047, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1722.6597, usercpu_time_millis: 39.619, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 38.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7221, kappa: 0.4395, kb_relative_information_score: 612.8147, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7221, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8964, scimark_benchmark: 1729.728, usercpu_time_millis: 37.289, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 36.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1751, 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: 1730.1287, usercpu_time_millis: 8.188, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 6.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.784, kappa: 0.5643, kb_relative_information_score: 1435.8103, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898, scimark_benchmark: 1673.8087, usercpu_time_millis: 5216.6, usercpu_time_millis_testing: 5.053, usercpu_time_millis_training: 5211.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8063, kappa: 0.6092, kb_relative_information_score: 1620.3698, mean_absolute_error: 0.2987, 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: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1732.0958, usercpu_time_millis: 11796.747, usercpu_time_millis_testing: 5.641, usercpu_time_millis_training: 11791.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 1543.1272, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1714.7312, usercpu_time_millis: 1790.762, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 1788.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8, kappa: 0.5966, kb_relative_information_score: 1523.2937, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.768, scimark_benchmark: 1726.7615, usercpu_time_millis: 2938.36, usercpu_time_millis_testing: 4.094, usercpu_time_millis_training: 2934.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1572.1304, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1718.2809, usercpu_time_millis: 1175.442, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 1174.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7774, kappa: 0.5508, kb_relative_information_score: 1391.3134, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7781, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7993, scimark_benchmark: 1731.5618, usercpu_time_millis: 919.481, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 918.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7844, kappa: 0.5649, kb_relative_information_score: 1399.845, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7948, scimark_benchmark: 1725.3223, usercpu_time_millis: 814.421, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7742, kappa: 0.5443, kb_relative_information_score: 1275.7274, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1727.5077, usercpu_time_millis: 796.992, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 795.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7883, kappa: 0.5729, kb_relative_information_score: 1420.4109, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7887, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1722.1998, usercpu_time_millis: 577.537, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 575.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7364, kappa: 0.47, kb_relative_information_score: 873.4408, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8697, scimark_benchmark: 1724.3221, usercpu_time_millis: 172.877, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 171.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7478, kappa: 0.4911, kb_relative_information_score: 849.935, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7496, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8611, scimark_benchmark: 1727.1069, usercpu_time_millis: 164.453, usercpu_time_millis_testing: 2.042, usercpu_time_millis_training: 162.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1449.8963, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1077.0841, usercpu_time_millis: 92.122, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 89.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7491, kappa: 0.4937, kb_relative_information_score: 944.9634, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7505, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8521, scimark_benchmark: 1717.8888, usercpu_time_millis: 47.557, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 46.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0383, 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: 1069.2054, usercpu_time_millis: 16.917, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 14.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0765, 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: 1070.0947, usercpu_time_millis: 12.653, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 10.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1011, 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: 1733.1402, usercpu_time_millis: 12.258, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 10.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1579.6922, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1751.4006, usercpu_time_millis: 3186.286, usercpu_time_millis_testing: 2.557, usercpu_time_millis_training: 3183.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.794, kappa: 0.5845, kb_relative_information_score: 1518.3307, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7768, scimark_benchmark: 1725.6207, usercpu_time_millis: 3039.275, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 3037.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1597.0407, mean_absolute_error: 0.3025, 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: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1729.728, usercpu_time_millis: 3345.87, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 3342.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 1414.0875, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7944, scimark_benchmark: 1732.4985, usercpu_time_millis: 2950.828, usercpu_time_millis_testing: 2.535, usercpu_time_millis_training: 2948.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7726, kappa: 0.5413, kb_relative_information_score: 1521.2664, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7732, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1719.9254, usercpu_time_millis: 882.227, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 881.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7909, kappa: 0.5783, kb_relative_information_score: 1446.4909, mean_absolute_error: 0.3226, 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: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7836, scimark_benchmark: 1730.591, usercpu_time_millis: 2421.68, usercpu_time_millis_testing: 2.834, usercpu_time_millis_training: 2418.846,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.757, kappa: 0.5097, kb_relative_information_score: 1317.4678, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1730.6549, usercpu_time_millis: 3901.349, usercpu_time_millis_testing: 2.281, usercpu_time_millis_training: 3899.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7793, kappa: 0.5546, kb_relative_information_score: 1403.7552, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.798, scimark_benchmark: 1726.9824, usercpu_time_millis: 3633.381, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 3631.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7976, kappa: 0.5918, kb_relative_information_score: 1569.9247, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7981, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1729.1458, usercpu_time_millis: 2988.292, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 2985.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7766, kappa: 0.5491, kb_relative_information_score: 1373.9609, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 1765.3587, usercpu_time_millis: 2157.436, usercpu_time_millis_testing: 2.207, usercpu_time_millis_training: 2155.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7918, kappa: 0.5801, kb_relative_information_score: 1483.1434, mean_absolute_error: 0.3178, 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: 0.6401, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7782, scimark_benchmark: 1839.9263, usercpu_time_millis: 2079.23, usercpu_time_millis_testing: 2.335, usercpu_time_millis_training: 2076.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7636, kappa: 0.5231, kb_relative_information_score: 1190.4511, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7663, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1767.6404, usercpu_time_millis: 520.392, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 518.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.754, kappa: 0.5036, kb_relative_information_score: 940.2595, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485, scimark_benchmark: 1700.3723, usercpu_time_millis: 426.517, usercpu_time_millis_testing: 2.784, usercpu_time_millis_training: 423.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.753, kappa: 0.5017, kb_relative_information_score: 1036.4573, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8427, scimark_benchmark: 1732.4384, usercpu_time_millis: 391.082, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 388.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8042, kappa: 0.605, kb_relative_information_score: 1492.4446, mean_absolute_error: 0.3174, 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: 0.6394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1758.413, usercpu_time_millis: 164.823, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 163.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7551, kappa: 0.506, kb_relative_information_score: 920.0295, mean_absolute_error: 0.3932, 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: 0.792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8491, scimark_benchmark: 1723.6461, usercpu_time_millis: 140.962, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 138.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.729, kappa: 0.4536, kb_relative_information_score: 651.3831, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7289, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8905, scimark_benchmark: 1766.7277, usercpu_time_millis: 18.517, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 17.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0828, 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: 1765.9334, usercpu_time_millis: 10.253, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 8.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7716, kappa: 0.5393, kb_relative_information_score: 1109.5899, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8206, scimark_benchmark: 1726.5817, usercpu_time_millis: 11.959, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 10.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7737, kappa: 0.5433, kb_relative_information_score: 1485.2888, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7922, scimark_benchmark: 1791.8239, usercpu_time_millis: 12809.386, usercpu_time_millis_testing: 4.568, usercpu_time_millis_training: 12804.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8074, kappa: 0.6115, kb_relative_information_score: 1681.8969, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7544, scimark_benchmark: 1724.3221, usercpu_time_millis: 5481.785, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 5478.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1628.1389, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1790.4541, usercpu_time_millis: 8142.789, usercpu_time_millis_testing: 3.777, usercpu_time_millis_training: 8139.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1553.9768, mean_absolute_error: 0.3083, 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: 0.6211, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1800.5785, usercpu_time_millis: 4427.998, usercpu_time_millis_testing: 4.643, usercpu_time_millis_training: 4423.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1561.6446, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 2109.7134, usercpu_time_millis: 2489.198, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 2487.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7787, kappa: 0.5535, kb_relative_information_score: 1332.735, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8004, scimark_benchmark: 1728.6046, usercpu_time_millis: 2129.146, usercpu_time_millis_testing: 4.484, usercpu_time_millis_training: 2124.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7768, kappa: 0.5497, kb_relative_information_score: 1269.9163, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8077, scimark_benchmark: 1728.0167, usercpu_time_millis: 905.259, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 903.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7696, kappa: 0.535, kb_relative_information_score: 1309.4473, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1726.1829, usercpu_time_millis: 2165.773, usercpu_time_millis_testing: 2.433, usercpu_time_millis_training: 2163.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7488, kappa: 0.4933, kb_relative_information_score: 1208.7871, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7529, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8361, scimark_benchmark: 1755.3064, usercpu_time_millis: 464.878, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 463.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 976.4913, mean_absolute_error: 0.3865, 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: 0.7786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8807, scimark_benchmark: 2109.0169, usercpu_time_millis: 186.857, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 185.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0801, 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: 1696.4522, usercpu_time_millis: 6.311, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 5.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8059, kappa: 0.6085, kb_relative_information_score: 1612.3677, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8064, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1787.4957, usercpu_time_millis: 938.104, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 936.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7529, kappa: 0.5015, kb_relative_information_score: 1087.0813, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379, scimark_benchmark: 1751.6451, usercpu_time_millis: 681.616, usercpu_time_millis_testing: 1.789, usercpu_time_millis_training: 679.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7643, kappa: 0.5244, kb_relative_information_score: 1094.3187, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8292, scimark_benchmark: 1727.616, usercpu_time_millis: 440.624, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 438.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7886, kappa: 0.5736, kb_relative_information_score: 1301.9433, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7943, scimark_benchmark: 1724.4205, usercpu_time_millis: 432.076, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 429.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7808, kappa: 0.5576, kb_relative_information_score: 1371.0196, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8002, scimark_benchmark: 2136.6286, usercpu_time_millis: 3574.804, usercpu_time_millis_testing: 2.233, usercpu_time_millis_training: 3572.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1556.101, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.767, scimark_benchmark: 1804.0049, usercpu_time_millis: 3455.579, usercpu_time_millis_testing: 3.363, usercpu_time_millis_training: 3452.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1577.8194, mean_absolute_error: 0.3054, 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: 0.6152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.759, scimark_benchmark: 1808.7672, usercpu_time_millis: 3434.543, usercpu_time_millis_testing: 4.606, usercpu_time_millis_training: 3429.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7314, kappa: 0.4584, kb_relative_information_score: 752.343, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7313, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8744, scimark_benchmark: 1790.0329, usercpu_time_millis: 11.656, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 10.563,

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

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