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: 0.8536, f_measure: 0.787, kappa: 0.5703, kb_relative_information_score: 1343.1672, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1813.7536, usercpu_time_millis: 909.781, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 907.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8108, kappa: 0.6184, kb_relative_information_score: 1557.9987, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 2138.4129, usercpu_time_millis: 695.647, usercpu_time_millis_testing: 3.752, usercpu_time_millis_training: 691.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7631, kappa: 0.5219, kb_relative_information_score: 1159.4866, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1850.2875, usercpu_time_millis: 672.197, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 670.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7696, kappa: 0.5353, kb_relative_information_score: 1321.8862, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7699, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8153, scimark_benchmark: 1850.2875, usercpu_time_millis: 627.253, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 625.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7997, kappa: 0.5959, kb_relative_information_score: 1397.5775, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7824, scimark_benchmark: 1846.2342, usercpu_time_millis: 623.908, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 621.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7928, kappa: 0.582, kb_relative_information_score: 1449.7459, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1686.0955, usercpu_time_millis: 538.842, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 537.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7873, kappa: 0.5709, kb_relative_information_score: 1196.1087, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8082, scimark_benchmark: 1824.6017, usercpu_time_millis: 489.768, usercpu_time_millis_testing: 3.001, usercpu_time_millis_training: 486.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7998, kappa: 0.5961, kb_relative_information_score: 1559.3873, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7674, scimark_benchmark: 1726.5817, usercpu_time_millis: 443.946, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 442.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7708, kappa: 0.5375, kb_relative_information_score: 1247.099, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7713, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8118, scimark_benchmark: 1717.7351, usercpu_time_millis: 424.613, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 422.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7971, kappa: 0.5906, kb_relative_information_score: 1412.6504, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7976, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7794, scimark_benchmark: 1717.7351, usercpu_time_millis: 397.344, usercpu_time_millis_testing: 2.08, usercpu_time_millis_training: 395.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7531, kappa: 0.5019, kb_relative_information_score: 1284.3714, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1729.3292, usercpu_time_millis: 219.683, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 218.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7513, kappa: 0.4983, kb_relative_information_score: 1086.674, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7521, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426, scimark_benchmark: 2008.1444, usercpu_time_millis: 144.557, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 143.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7397, kappa: 0.4756, kb_relative_information_score: 744.8037, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7397, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 2147.2397, usercpu_time_millis: 49.599, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 48.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7518, kappa: 0.4992, kb_relative_information_score: 850.7655, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8621, scimark_benchmark: 1848.916, usercpu_time_millis: 15.979, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 15.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0882, 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: 1849.7595, usercpu_time_millis: 7.516, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 6.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1642.7721, mean_absolute_error: 0.2953, 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: 0.5949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7586, scimark_benchmark: 1853.5297, usercpu_time_millis: 6634.823, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 6630.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7677, kappa: 0.5312, kb_relative_information_score: 1446.6593, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7704, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8044, scimark_benchmark: 1855.0232, usercpu_time_millis: 4617.331, usercpu_time_millis_testing: 1.793, usercpu_time_millis_training: 4615.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7768, kappa: 0.5495, kb_relative_information_score: 1410.7277, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7777, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7986, scimark_benchmark: 2069.0921, usercpu_time_millis: 4412.773, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 4410.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1602.6114, mean_absolute_error: 0.3012, 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: 0.6068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1850.2875, usercpu_time_millis: 2247.39, usercpu_time_millis_testing: 1.789, usercpu_time_millis_training: 2245.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7899, kappa: 0.5763, kb_relative_information_score: 1478.0319, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1854.4431, usercpu_time_millis: 1380.836, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 1379.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1363.9104, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8064, scimark_benchmark: 1846.1643, usercpu_time_millis: 1340.701, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 1338.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7963, kappa: 0.5891, kb_relative_information_score: 1563.043, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7967, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1843.1261, usercpu_time_millis: 964.644, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 963.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7865, kappa: 0.5692, kb_relative_information_score: 1387.3278, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1825.7151, usercpu_time_millis: 851.941, usercpu_time_millis_testing: 2.698, usercpu_time_millis_training: 849.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1414.2479, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7868, scimark_benchmark: 1845.3208, usercpu_time_millis: 679.887, usercpu_time_millis_testing: 2.025, usercpu_time_millis_training: 677.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7726, kappa: 0.5412, kb_relative_information_score: 1174.5714, mean_absolute_error: 0.3599, 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: 0.7249, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8158, scimark_benchmark: 1833.9665, usercpu_time_millis: 541.36, usercpu_time_millis_testing: 2.453, usercpu_time_millis_training: 538.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7706, kappa: 0.5371, kb_relative_information_score: 1305.3487, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8127, scimark_benchmark: 1846.1643, usercpu_time_millis: 509.619, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 508.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 982.252, mean_absolute_error: 0.3857, 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: 0.777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8816, scimark_benchmark: 1894.2744, usercpu_time_millis: 318.939, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 317.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7717, kappa: 0.5393, kb_relative_information_score: 1282.9137, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7721, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1848.2615, usercpu_time_millis: 235.246, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 234.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 953.398, mean_absolute_error: 0.3896, 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: 0.7849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8765, scimark_benchmark: 1940.2382, usercpu_time_millis: 110.7, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 109.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8041, kappa: 0.6051, kb_relative_information_score: 1380.4814, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7757, scimark_benchmark: 1797.5551, usercpu_time_millis: 34.338, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 33.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7771, kappa: 0.5508, kb_relative_information_score: 1728.0466, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.777, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8216, scimark_benchmark: 1829.0374, usercpu_time_millis: 28.484, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 27.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1302, 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: 1740.6383, usercpu_time_millis: 6.838, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 5.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.2161, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 6.71, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 5.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7502, kappa: 0.496, kb_relative_information_score: 1205.5311, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7515, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8392, scimark_benchmark: 1849.7595, usercpu_time_millis: 6.192, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 5.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3813, kb_relative_information_score: -0.2146, 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: 1851.8567, usercpu_time_millis: 4.253, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 3.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7856, kappa: 0.5675, kb_relative_information_score: 1532.0803, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7831, scimark_benchmark: 1716.7253, usercpu_time_millis: 10383.196, usercpu_time_millis_testing: 3.394, usercpu_time_millis_training: 10379.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7807, kappa: 0.5575, kb_relative_information_score: 1441.3142, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7915, scimark_benchmark: 1727.9533, usercpu_time_millis: 8785.313, usercpu_time_millis_testing: 3.351, usercpu_time_millis_training: 8781.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.785, kappa: 0.5662, kb_relative_information_score: 1443.5553, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7885, scimark_benchmark: 2013.2199, usercpu_time_millis: 7218.369, usercpu_time_millis_testing: 2.892, usercpu_time_millis_training: 7215.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7599, kappa: 0.5155, kb_relative_information_score: 1330.1511, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7625, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1852.0126, usercpu_time_millis: 4648.174, usercpu_time_millis_testing: 2.58, usercpu_time_millis_training: 4645.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7657, kappa: 0.5272, kb_relative_information_score: 1209.1242, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8186, scimark_benchmark: 1847.2191, usercpu_time_millis: 2206.713, usercpu_time_millis_testing: 3.173, usercpu_time_millis_training: 2203.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7818, kappa: 0.5599, kb_relative_information_score: 1433.1907, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 1956.7848, usercpu_time_millis: 1475.732, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 1474.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8125, kappa: 0.6217, kb_relative_information_score: 1587.3075, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8127, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539, scimark_benchmark: 1824.9414, usercpu_time_millis: 1094.612, usercpu_time_millis_testing: 3.077, usercpu_time_millis_training: 1091.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8097, kappa: 0.6165, kb_relative_information_score: 1762.4493, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7481, scimark_benchmark: 1742.0793, usercpu_time_millis: 595.524, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 594.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8111, kappa: 0.619, kb_relative_information_score: 1547.5728, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8114, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 1848.916, usercpu_time_millis: 491.807, usercpu_time_millis_testing: 1.753, usercpu_time_millis_training: 490.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7471, kappa: 0.4903, kb_relative_information_score: 1166.2499, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7529, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.42, root_relative_squared_error: 0.843, scimark_benchmark: 1844.7928, usercpu_time_millis: 414.833, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 413.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1485.2542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1825.7683, usercpu_time_millis: 300.997, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 299.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 794.1498, mean_absolute_error: 0.41, 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: 0.8259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8819, scimark_benchmark: 1782.2855, usercpu_time_millis: 97.566, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 96.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 783.8569, 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: 0.8286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1822.8291, usercpu_time_millis: 55.003, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 54.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8021, kappa: 0.6008, kb_relative_information_score: 1612.3674, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 1845.2509, usercpu_time_millis: 38.58, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 37.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7832, kappa: 0.5625, kb_relative_information_score: 1524.8915, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846, scimark_benchmark: 1828.1613, usercpu_time_millis: 8050.331, usercpu_time_millis_testing: 2.51, usercpu_time_millis_training: 8047.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7681, kappa: 0.5321, kb_relative_information_score: 1365.2846, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7704, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8071, scimark_benchmark: 1938.3233, usercpu_time_millis: 9318.961, usercpu_time_millis_testing: 2.746, usercpu_time_millis_training: 9316.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8108, kappa: 0.6183, kb_relative_information_score: 1611.3421, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8112, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7542, scimark_benchmark: 1956.5981, usercpu_time_millis: 4158.235, usercpu_time_millis_testing: 3.283, usercpu_time_millis_training: 4154.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8006, kappa: 0.5979, kb_relative_information_score: 1753.1889, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562, scimark_benchmark: 1940.1667, usercpu_time_millis: 8504.268, usercpu_time_millis_testing: 2.356, usercpu_time_millis_training: 8501.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7648, kappa: 0.5254, kb_relative_information_score: 1350.1079, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1853.0566, usercpu_time_millis: 7696.077, usercpu_time_millis_testing: 2.346, usercpu_time_millis_training: 7693.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7808, kappa: 0.5577, kb_relative_information_score: 1469.114, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7879, scimark_benchmark: 1952.3712, usercpu_time_millis: 2489.212, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 2487.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7505, kappa: 0.4968, kb_relative_information_score: 1277.9368, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1900.0223, usercpu_time_millis: 2171.629, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 2169.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8003, kappa: 0.5972, kb_relative_information_score: 1608.1834, mean_absolute_error: 0.3001, 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: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7636, scimark_benchmark: 2071.5756, usercpu_time_millis: 1997.218, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 1995.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7829, kappa: 0.562, kb_relative_information_score: 1325.895, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7969, scimark_benchmark: 1962.7862, usercpu_time_millis: 1881.559, usercpu_time_millis_testing: 2.487, usercpu_time_millis_training: 1879.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8077, kappa: 0.6122, kb_relative_information_score: 1688.4862, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7536, scimark_benchmark: 1948.4813, usercpu_time_millis: 6621.055, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 6619.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8032, kappa: 0.603, kb_relative_information_score: 1545.5596, mean_absolute_error: 0.3096, 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: 0.6236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656, scimark_benchmark: 1811.0324, usercpu_time_millis: 1668.579, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 1666.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7724, kappa: 0.5409, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7729, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8157, scimark_benchmark: 1934.552, usercpu_time_millis: 1493.292, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 1490.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7966, kappa: 0.5896, kb_relative_information_score: 1400.3024, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7803, scimark_benchmark: 1904.9567, usercpu_time_millis: 1144.47, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 1141.642,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8031, kappa: 0.6031, kb_relative_information_score: 1778.5802, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1975.1628, usercpu_time_millis: 401.543, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 400.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1394.1995, mean_absolute_error: 0.3309, 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: 0.6666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7796, scimark_benchmark: 1849.7595, usercpu_time_millis: 309.192, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 307.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 919.679, mean_absolute_error: 0.3941, 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: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1746.6897, usercpu_time_millis: 278.597, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 277.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7852, kappa: 0.5667, kb_relative_information_score: 1418.1354, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.792, scimark_benchmark: 1258.3675, usercpu_time_millis: 4997.873, usercpu_time_millis_testing: 4.134, usercpu_time_millis_training: 4993.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8032, kappa: 0.6033, kb_relative_information_score: 1494.3534, mean_absolute_error: 0.3168, 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: 0.6382, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7672, scimark_benchmark: 1737.219, usercpu_time_millis: 92.984, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 91.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7142, kappa: 0.4235, kb_relative_information_score: 597.4305, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7167, predictive_accuracy: 0.7166, prior_entropy: 0.9948, recall: 0.7166, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8951, scimark_benchmark: 1847.7442, usercpu_time_millis: 80.015, usercpu_time_millis_testing: 5.639, usercpu_time_millis_training: 74.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7779, kappa: 0.5519, kb_relative_information_score: 1006.879, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8279, scimark_benchmark: 1851.8567, usercpu_time_millis: 77.673, usercpu_time_millis_testing: 4.714, usercpu_time_millis_training: 72.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7848, kappa: 0.5659, kb_relative_information_score: 1428.1007, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7852, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.79, scimark_benchmark: 1804.6817, usercpu_time_millis: 2931.262, usercpu_time_millis_testing: 4.647, usercpu_time_millis_training: 2926.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.752, kappa: 0.5001, kb_relative_information_score: 1210.4296, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8304, scimark_benchmark: 1918.8845, usercpu_time_millis: 1662.25, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 1660.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7509, kappa: 0.4977, kb_relative_information_score: 1223.1491, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8287, scimark_benchmark: 1865.4965, usercpu_time_millis: 695.211, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 694.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.78, kappa: 0.5561, kb_relative_information_score: 1359.0015, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8023, scimark_benchmark: 1843.9754, usercpu_time_millis: 567.837, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 566.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7583, kappa: 0.5123, kb_relative_information_score: 1014.3932, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8381, scimark_benchmark: 1807.0248, usercpu_time_millis: 167.644, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 166.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7745, kappa: 0.5451, kb_relative_information_score: 1006.3275, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7751, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 1906.3477, usercpu_time_millis: 150.951, usercpu_time_millis_testing: 8.105, usercpu_time_millis_training: 142.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7584, kappa: 0.5126, kb_relative_information_score: 1034.5291, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8345, scimark_benchmark: 1899.7115, usercpu_time_millis: 69.643, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 68.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6585, kappa: 0.3197, kb_relative_information_score: 278.5327, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6797, predictive_accuracy: 0.671, prior_entropy: 0.9948, recall: 0.671, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1856.778, usercpu_time_millis: 18.192, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 16.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1201, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.636, usercpu_time_millis: 11.062, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 9.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7989, kappa: 0.5946, kb_relative_information_score: 1757.7191, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.799, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1743.1611, usercpu_time_millis: 8632.15, usercpu_time_millis_testing: 2.245, usercpu_time_millis_training: 8629.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7956, kappa: 0.5879, kb_relative_information_score: 1793.1651, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7681, scimark_benchmark: 1837.1955, usercpu_time_millis: 10605.765, usercpu_time_millis_testing: 3.957, usercpu_time_millis_training: 10601.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7977, kappa: 0.592, kb_relative_information_score: 1772.42, mean_absolute_error: 0.2738, 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: 0.5515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7696, scimark_benchmark: 1798.0499, usercpu_time_millis: 13633.966, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 13630.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7799, kappa: 0.5559, kb_relative_information_score: 1375.9568, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.781, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8012, scimark_benchmark: 1852.4707, usercpu_time_millis: 1587.105, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 1585.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7911, kappa: 0.5787, kb_relative_information_score: 1542.9702, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.773, scimark_benchmark: 1843.903, usercpu_time_millis: 1558.783, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 1557.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1570.8869, mean_absolute_error: 0.3057, 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: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7668, scimark_benchmark: 1849.8662, usercpu_time_millis: 5251.61, usercpu_time_millis_testing: 3.296, usercpu_time_millis_training: 5248.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7981, kappa: 0.5927, kb_relative_information_score: 1400.0444, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7795, scimark_benchmark: 1840.3077, usercpu_time_millis: 1027.192, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 1022.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7822, kappa: 0.5606, kb_relative_information_score: 1362.5561, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1739.8502, usercpu_time_millis: 1002.85, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 1000.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 972.9933, mean_absolute_error: 0.387, 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: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8786, scimark_benchmark: 1739.8502, usercpu_time_millis: 734.126, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 732.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7787, kappa: 0.5536, kb_relative_information_score: 1164.5742, mean_absolute_error: 0.3613, 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: 0.7277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8141, scimark_benchmark: 1858.2223, usercpu_time_millis: 471.25, usercpu_time_millis_testing: 3.049, usercpu_time_millis_training: 468.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7345, kappa: 0.4654, kb_relative_information_score: 558.0799, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7346, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9061, scimark_benchmark: 1845.9141, usercpu_time_millis: 13.04, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 12.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7528, kappa: 0.5012, kb_relative_information_score: 1292.7554, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1838.622, usercpu_time_millis: 3850.584, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 3848.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8073, kappa: 0.6114, kb_relative_information_score: 1700.0045, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1848.2615, usercpu_time_millis: 2468.627, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 2466.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8072, kappa: 0.6112, kb_relative_information_score: 1573.1691, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7583, scimark_benchmark: 1815.0025, usercpu_time_millis: 2068.484, usercpu_time_millis_testing: 4.41, usercpu_time_millis_training: 2064.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7996, kappa: 0.5958, kb_relative_information_score: 1574.215, mean_absolute_error: 0.305, 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: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7681, scimark_benchmark: 1846.8212, usercpu_time_millis: 490.823, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 489.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.372, mean_absolute_error: 0.3877, 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: 0.781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8704, scimark_benchmark: 1832.1735, usercpu_time_millis: 334.227, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 332.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7965, kappa: 0.5896, kb_relative_information_score: 1381.4877, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7831, scimark_benchmark: 1729.8402, usercpu_time_millis: 245.113, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 243.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7338, kappa: 0.463, kb_relative_information_score: 730.5321, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7342, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1850.9652, usercpu_time_millis: 68.118, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 66.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1128.2647, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1853.9121, usercpu_time_millis: 717.177, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 715.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7915, kappa: 0.5795, kb_relative_information_score: 1428.7871, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1793.2549, usercpu_time_millis: 686.285, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 684.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1642.9834, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1833.6579, usercpu_time_millis: 673.999, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 672.778,

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