OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 30108.7674, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3519, scimark_benchmark: 881.8272, usercpu_time_millis: 2985.156, usercpu_time_millis_testing: 5.467, usercpu_time_millis_training: 2979.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8853, kappa: 0.7085, kb_relative_information_score: 14917.7814, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.898, predictive_accuracy: 0.8919, prior_entropy: 0.863, recall: 0.8919, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6792, scimark_benchmark: 880.0736, usercpu_time_millis: 129.792, usercpu_time_millis_testing: 7.869, usercpu_time_millis_training: 121.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9283, kappa: 0.8221, kb_relative_information_score: 25300.3188, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037, scimark_benchmark: 904.2967, usercpu_time_millis: 9363.15, usercpu_time_millis_testing: 15.121, usercpu_time_millis_training: 9348.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 29149.8289, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3735, scimark_benchmark: 988.5449, usercpu_time_millis: 11847.246, usercpu_time_millis_testing: 32.921, usercpu_time_millis_training: 11814.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9433, kappa: 0.8605, kb_relative_information_score: 26738.9497, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591, scimark_benchmark: 971.7137, usercpu_time_millis: 763.227, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 761.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9665, kappa: 0.9177, kb_relative_information_score: 29324.1832, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3632, scimark_benchmark: 870.1553, usercpu_time_millis: 3840.649, usercpu_time_millis_testing: 20.894, usercpu_time_millis_training: 3819.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28885.0641, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, scimark_benchmark: 970.9737, usercpu_time_millis: 931.187, usercpu_time_millis_testing: 4.848, usercpu_time_millis_training: 926.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8667, kappa: 0.6768, kb_relative_information_score: 17538.8293, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8687, predictive_accuracy: 0.8655, prior_entropy: 0.863, recall: 0.8655, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6829, scimark_benchmark: 984.7691, usercpu_time_millis: 584.155, usercpu_time_millis_testing: 3.651, usercpu_time_millis_training: 580.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 29312.0082, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3619, scimark_benchmark: 927.402, usercpu_time_millis: 1282.495, usercpu_time_millis_testing: 14.93, usercpu_time_millis_training: 1267.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29630.7181, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 906.4026, usercpu_time_millis: 2303.509, usercpu_time_millis_testing: 15.743, usercpu_time_millis_training: 2287.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8685, kappa: 0.6802, kb_relative_information_score: 17426.0841, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6832, scimark_benchmark: 909.1392, usercpu_time_millis: 1718.625, usercpu_time_millis_testing: 14.766, usercpu_time_millis_training: 1703.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28680.7379, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3787, scimark_benchmark: 1041.4427, usercpu_time_millis: 855.374, usercpu_time_millis_testing: 17.471, usercpu_time_millis_training: 837.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9546, kappa: 0.8887, kb_relative_information_score: 27801.4133, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.4171, scimark_benchmark: 904.5722, usercpu_time_millis: 2972.984, usercpu_time_millis_testing: 15.198, usercpu_time_millis_training: 2957.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29220.3091, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3695, scimark_benchmark: 994.6607, usercpu_time_millis: 5047.278, usercpu_time_millis_testing: 14.73, usercpu_time_millis_training: 5032.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0123, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 871.0569, usercpu_time_millis: 36.062, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 34.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29347.9115, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.366, scimark_benchmark: 900.9755, usercpu_time_millis: 4455.948, usercpu_time_millis_testing: 19.371, usercpu_time_millis_training: 4436.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8687, kappa: 0.6807, kb_relative_information_score: 17334.2842, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8701, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6848, scimark_benchmark: 1017.8827, usercpu_time_millis: 219.328, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 217.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29173.4533, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3678, scimark_benchmark: 1042.1965, usercpu_time_millis: 4150.11, usercpu_time_millis_testing: 27.82, usercpu_time_millis_training: 4122.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8581, kappa: 0.6509, kb_relative_information_score: 14952.3904, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8587, prior_entropy: 0.863, recall: 0.8587, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7244, scimark_benchmark: 926.5775, usercpu_time_millis: 268.387, usercpu_time_millis_testing: 10.731, usercpu_time_millis_training: 257.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 29494.7063, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3635, scimark_benchmark: 976.0329, usercpu_time_millis: 2278.033, usercpu_time_millis_testing: 5.775, usercpu_time_millis_training: 2272.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9322, kappa: 0.8315, kb_relative_information_score: 25016.3396, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.495, scimark_benchmark: 986.5118, usercpu_time_millis: 2081.652, usercpu_time_millis_testing: 19.193, usercpu_time_millis_training: 2062.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9366, kappa: 0.8433, kb_relative_information_score: 26070.9351, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.479, scimark_benchmark: 1845.7835, usercpu_time_millis: 3886.831, usercpu_time_millis_testing: 8.638, usercpu_time_millis_training: 3878.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9298, kappa: 0.8251, kb_relative_information_score: 25081.9808, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5035, scimark_benchmark: 1817.5051, usercpu_time_millis: 3781.028, usercpu_time_millis_testing: 13.104, usercpu_time_millis_training: 3767.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28111.3877, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4158, scimark_benchmark: 1748.8487, usercpu_time_millis: 2495.946, usercpu_time_millis_testing: 6.823, usercpu_time_millis_training: 2489.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9551, kappa: 0.89, kb_relative_information_score: 27962.2234, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.413, scimark_benchmark: 1823.0452, usercpu_time_millis: 2419.289, usercpu_time_millis_testing: 14.599, usercpu_time_millis_training: 2404.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9498, kappa: 0.8768, kb_relative_information_score: 27410.8487, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4353, scimark_benchmark: 1785.3376, usercpu_time_millis: 2223.856, usercpu_time_millis_testing: 6.616, usercpu_time_millis_training: 2217.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28807.3172, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1831.2156, usercpu_time_millis: 1923.177, usercpu_time_millis_testing: 9.989, usercpu_time_millis_training: 1913.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9428, kappa: 0.8591, kb_relative_information_score: 26331.8159, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4609, scimark_benchmark: 1818.4591, usercpu_time_millis: 1623.039, usercpu_time_millis_testing: 12.414, usercpu_time_millis_training: 1610.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.915, kappa: 0.7861, kb_relative_information_score: 24205.2601, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.92, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5299, scimark_benchmark: 1763.0264, usercpu_time_millis: 1498.112, usercpu_time_millis_testing: 9.541, usercpu_time_millis_training: 1488.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9152, kappa: 0.7866, kb_relative_information_score: 24348.9632, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9182, prior_entropy: 0.863, recall: 0.9182, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5264, scimark_benchmark: 1849.8294, usercpu_time_millis: 1381.092, usercpu_time_millis_testing: 6.084, usercpu_time_millis_training: 1375.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9172, kappa: 0.7918, kb_relative_information_score: 24424.0531, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.92, prior_entropy: 0.863, recall: 0.92, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5155, scimark_benchmark: 1850.2875, usercpu_time_millis: 1380.528, usercpu_time_millis_testing: 7.962, usercpu_time_millis_training: 1372.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9396, kappa: 0.8509, kb_relative_information_score: 26148.0443, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4704, scimark_benchmark: 1759.2803, usercpu_time_millis: 660.895, usercpu_time_millis_testing: 2.492, usercpu_time_millis_training: 658.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9604, kappa: 0.9026, kb_relative_information_score: 28402.1056, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3882, scimark_benchmark: 1955.0307, usercpu_time_millis: 645.336, usercpu_time_millis_testing: 12.469, usercpu_time_millis_training: 632.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28853.1548, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, scimark_benchmark: 1747.9048, usercpu_time_millis: 547.247, usercpu_time_millis_testing: 4.488, usercpu_time_millis_training: 542.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9167, kappa: 0.7906, kb_relative_information_score: 23628.7649, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9194, prior_entropy: 0.863, recall: 0.9194, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.524, scimark_benchmark: 1772.3656, usercpu_time_millis: 508.096, usercpu_time_millis_testing: 4.176, usercpu_time_millis_training: 503.92,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29205.0748, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.372, scimark_benchmark: 1442.5171, usercpu_time_millis: 2707.31, usercpu_time_millis_testing: 11.01, usercpu_time_millis_training: 2696.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9545, kappa: 0.8885, kb_relative_information_score: 27695.7126, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4176, scimark_benchmark: 1474.7266, usercpu_time_millis: 750.08, usercpu_time_millis_testing: 10.4, usercpu_time_millis_training: 739.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9201, kappa: 0.7997, kb_relative_information_score: 24663.2501, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5156, scimark_benchmark: 1350.7425, usercpu_time_millis: 3410, usercpu_time_millis_testing: 18.84, usercpu_time_millis_training: 3391.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9164, kappa: 0.7897, kb_relative_information_score: 24534.3585, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5218, scimark_benchmark: 1729.9318, usercpu_time_millis: 696.126, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 693.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.956, kappa: 0.892, kb_relative_information_score: 27966.906, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4126, scimark_benchmark: 1796.5374, usercpu_time_millis: 304.149, usercpu_time_millis_testing: 2.593, usercpu_time_millis_training: 301.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.9055, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1394.034, usercpu_time_millis: 55.6, usercpu_time_millis_testing: 3.53, usercpu_time_millis_training: 52.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 27956.9586, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3922, scimark_benchmark: 1054.3735, usercpu_time_millis: 180.26, usercpu_time_millis_testing: 7.491, usercpu_time_millis_training: 172.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9296, kappa: 0.8252, kb_relative_information_score: 25183.5841, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9301, predictive_accuracy: 0.9306, prior_entropy: 0.863, recall: 0.9306, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5048, scimark_benchmark: 2136.7748, usercpu_time_millis: 179.116, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 178.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8712, kappa: 0.6843, kb_relative_information_score: 15674.3551, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8712, predictive_accuracy: 0.8712, prior_entropy: 0.863, recall: 0.8712, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6805, scimark_benchmark: 1721.8976, usercpu_time_millis: 124.241, usercpu_time_millis_testing: 8.439, usercpu_time_millis_training: 115.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 29158.8032, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3718, scimark_benchmark: 1538.9538, usercpu_time_millis: 1211.75, usercpu_time_millis_testing: 7.19, usercpu_time_millis_training: 1204.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -3.4917, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1838.6578, usercpu_time_millis: 10.949, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 9.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8797, kappa: 0.6962, kb_relative_information_score: 12770.3717, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8853, predictive_accuracy: 0.8848, prior_entropy: 0.863, recall: 0.8848, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7282, scimark_benchmark: 1725.6643, usercpu_time_millis: 9.849, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 9.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9439, kappa: 0.8617, kb_relative_information_score: 26330.5723, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.457, scimark_benchmark: 1473.2786, usercpu_time_millis: 563.8, usercpu_time_millis_testing: 16.2, usercpu_time_millis_training: 547.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9584, kappa: 0.8981, kb_relative_information_score: 28308.1314, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1479.2657, usercpu_time_millis: 583.04, usercpu_time_millis_testing: 5.97, usercpu_time_millis_training: 577.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9342, kappa: 0.8366, kb_relative_information_score: 25288.6327, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.494, scimark_benchmark: 1429.8845, usercpu_time_millis: 813.72, usercpu_time_millis_testing: 4.99, usercpu_time_millis_training: 808.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.2551, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1515.1768, usercpu_time_millis: 73.36, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 68.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9107, kappa: 0.7781, kb_relative_information_score: 21750.6343, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9112, predictive_accuracy: 0.9122, prior_entropy: 0.863, recall: 0.9122, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5588, scimark_benchmark: 1465.0593, usercpu_time_millis: 34.66, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 33.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28896.82, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3711, scimark_benchmark: 1432.4227, usercpu_time_millis: 555.36, usercpu_time_millis_testing: 10.62, usercpu_time_millis_training: 544.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9201, kappa: 0.7993, kb_relative_information_score: 24677.7154, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.9226, prior_entropy: 0.863, recall: 0.9226, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5123, scimark_benchmark: 1340.9852, usercpu_time_millis: 887.65, usercpu_time_millis_testing: 16.85, usercpu_time_millis_training: 870.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8641, kappa: 0.6667, kb_relative_information_score: 16301.9295, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.864, predictive_accuracy: 0.8643, prior_entropy: 0.863, recall: 0.8643, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6875, scimark_benchmark: 1430.7175, usercpu_time_millis: 252.42, usercpu_time_millis_testing: 10.76, usercpu_time_millis_training: 241.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.0821, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1452.2594, usercpu_time_millis: 78.48, usercpu_time_millis_testing: 4.6, usercpu_time_millis_training: 73.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9512, kappa: 0.8798, kb_relative_information_score: 26665.4935, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4345, scimark_benchmark: 1435.5357, usercpu_time_millis: 59.04, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 57.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9047, kappa: 0.7642, kb_relative_information_score: 22424.5617, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9045, predictive_accuracy: 0.9057, prior_entropy: 0.863, recall: 0.9057, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5785, scimark_benchmark: 1506.1629, usercpu_time_millis: 169.44, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 168.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8683, kappa: 0.6794, kb_relative_information_score: 17359.8449, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8675, prior_entropy: 0.863, recall: 0.8675, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6826, scimark_benchmark: 1300.7601, usercpu_time_millis: 401.84, usercpu_time_millis_testing: 5.6, usercpu_time_millis_training: 396.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8584, kappa: 0.6522, kb_relative_information_score: 15409.6074, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8588, prior_entropy: 0.863, recall: 0.8588, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7359, scimark_benchmark: 1424.6506, usercpu_time_millis: 96.54, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 93.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8658, kappa: 0.6724, kb_relative_information_score: 17022.7479, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8664, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6897, scimark_benchmark: 1337.4104, usercpu_time_millis: 210, usercpu_time_millis_testing: 3.7, usercpu_time_millis_training: 206.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8633, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1308.8206, usercpu_time_millis: 159.05, usercpu_time_millis_testing: 9.9, usercpu_time_millis_training: 149.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9505, kappa: 0.8785, kb_relative_information_score: 27382.661, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332, scimark_benchmark: 1719.131, usercpu_time_millis: 3234.067, usercpu_time_millis_testing: 16.919, usercpu_time_millis_training: 3217.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.938, kappa: 0.8467, kb_relative_information_score: 26149.6679, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4713, scimark_benchmark: 1085.8901, usercpu_time_millis: 4847.873, usercpu_time_millis_testing: 21.094, usercpu_time_millis_training: 4826.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9606, kappa: 0.9034, kb_relative_information_score: 28857.3581, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, scimark_benchmark: 1722.2536, usercpu_time_millis: 1748.301, usercpu_time_millis_testing: 4.715, usercpu_time_millis_training: 1743.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9592, kappa: 0.9, kb_relative_information_score: 28967.4514, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1730.905, usercpu_time_millis: 1746.559, usercpu_time_millis_testing: 3.989, usercpu_time_millis_training: 1742.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9367, kappa: 0.8433, kb_relative_information_score: 25731.0415, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4788, scimark_benchmark: 1727.3817, usercpu_time_millis: 1729.104, usercpu_time_millis_testing: 11.887, usercpu_time_millis_training: 1717.217,

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