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: 0.98, f_measure: 0.9184, kappa: 0.795, kb_relative_information_score: 23513.1677, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5203, scimark_benchmark: 1311.3717, usercpu_time_millis: 2333.989, usercpu_time_millis_testing: 49.826, usercpu_time_millis_training: 2284.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9342, kappa: 0.837, kb_relative_information_score: 25188.9302, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4891, scimark_benchmark: 1318.7765, usercpu_time_millis: 959.445, usercpu_time_millis_testing: 18.276, usercpu_time_millis_training: 941.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9555, kappa: 0.8901, kb_relative_information_score: 26061.3857, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4318, scimark_benchmark: 1249.1081, usercpu_time_millis: 3291.414, usercpu_time_millis_testing: 134.057, usercpu_time_millis_training: 3157.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.938, kappa: 0.8468, kb_relative_information_score: 25937.6143, mean_absolute_error: 0.1052, 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: 0.2579, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4715, scimark_benchmark: 1255.6629, usercpu_time_millis: 7229.728, usercpu_time_millis_testing: 85.76, usercpu_time_millis_training: 7143.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7716, kappa: 0.4122, kb_relative_information_score: 9358.0603, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8359, predictive_accuracy: 0.8064, prior_entropy: 0.863, recall: 0.8064, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7974, scimark_benchmark: 1305.6547, usercpu_time_millis: 41.029, usercpu_time_millis_testing: 2.933, usercpu_time_millis_training: 38.096,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9573, kappa: 0.8952, kb_relative_information_score: 28146.8402, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4023, scimark_benchmark: 1279.4817, usercpu_time_millis: 5250.28, usercpu_time_millis_testing: 94.094, usercpu_time_millis_training: 5156.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28565.9598, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1258.6328, usercpu_time_millis: 2304.567, usercpu_time_millis_testing: 38.072, usercpu_time_millis_training: 2266.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9159, kappa: 0.789, kb_relative_information_score: 21199.0253, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5604, scimark_benchmark: 1313.7353, usercpu_time_millis: 517.345, usercpu_time_millis_testing: 14.669, usercpu_time_millis_training: 502.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28850.2508, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3783, scimark_benchmark: 1296.518, usercpu_time_millis: 1720.982, usercpu_time_millis_testing: 21.499, usercpu_time_millis_training: 1699.483,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9269, kappa: 0.8175, kb_relative_information_score: 23329.3059, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9289, predictive_accuracy: 0.9286, prior_entropy: 0.863, recall: 0.9286, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5158, scimark_benchmark: 1255.3086, usercpu_time_millis: 76.915, usercpu_time_millis_testing: 6.26, usercpu_time_millis_training: 70.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9576, kappa: 0.8957, kb_relative_information_score: 27802.9961, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.406, scimark_benchmark: 1268.1253, usercpu_time_millis: 3940.438, usercpu_time_millis_testing: 75.078, usercpu_time_millis_training: 3865.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29110.0277, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3627, scimark_benchmark: 1291.5006, usercpu_time_millis: 919.064, usercpu_time_millis_testing: 33.769, usercpu_time_millis_training: 885.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9537, kappa: 0.8857, kb_relative_information_score: 26364.4584, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4307, scimark_benchmark: 1257.9081, usercpu_time_millis: 750.526, usercpu_time_millis_testing: 51.89, usercpu_time_millis_training: 698.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29382.553, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606, scimark_benchmark: 1303.8307, usercpu_time_millis: 4302.882, usercpu_time_millis_testing: 46.983, usercpu_time_millis_training: 4255.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9537, kappa: 0.8863, kb_relative_information_score: 27374.0566, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.423, scimark_benchmark: 1259.6997, usercpu_time_millis: 1547.043, usercpu_time_millis_testing: 68.094, usercpu_time_millis_training: 1478.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9614, kappa: 0.9054, kb_relative_information_score: 28723.3671, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3838, scimark_benchmark: 1255.0637, usercpu_time_millis: 2239.404, usercpu_time_millis_testing: 33.918, usercpu_time_millis_training: 2205.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9278, kappa: 0.8199, kb_relative_information_score: 24421.6788, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9293, prior_entropy: 0.863, recall: 0.9293, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5019, scimark_benchmark: 1317.3243, usercpu_time_millis: 1681.518, usercpu_time_millis_testing: 57.722, usercpu_time_millis_training: 1623.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9586, kappa: 0.8984, kb_relative_information_score: 28280.9104, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3966, scimark_benchmark: 1249.942, usercpu_time_millis: 118.594, usercpu_time_millis_testing: 5.805, usercpu_time_millis_training: 112.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9388, kappa: 0.8479, kb_relative_information_score: 21365.2746, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5393, scimark_benchmark: 1265.9248, usercpu_time_millis: 84.072, usercpu_time_millis_testing: 5.026, usercpu_time_millis_training: 79.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.95, kappa: 0.8772, kb_relative_information_score: 27107.8808, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4372, scimark_benchmark: 1268.4178, usercpu_time_millis: 6877.658, usercpu_time_millis_testing: 72.206, usercpu_time_millis_training: 6805.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28470.9329, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1265.6395, usercpu_time_millis: 1449.299, usercpu_time_millis_testing: 47.261, usercpu_time_millis_training: 1402.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9595, kappa: 0.9005, kb_relative_information_score: 28174.724, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1311.0563, usercpu_time_millis: 1175.458, usercpu_time_millis_testing: 54.061, usercpu_time_millis_training: 1121.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28620.3366, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.382, scimark_benchmark: 1271.0478, usercpu_time_millis: 2783.219, usercpu_time_millis_testing: 81.998, usercpu_time_millis_training: 2701.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29587.4801, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3511, scimark_benchmark: 1299.6717, usercpu_time_millis: 3786.766, usercpu_time_millis_testing: 60.644, usercpu_time_millis_training: 3726.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29509.5715, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1290.3263, usercpu_time_millis: 2248.949, usercpu_time_millis_testing: 44.994, usercpu_time_millis_training: 2203.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9493, kappa: 0.8755, kb_relative_information_score: 26912.0249, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4395, scimark_benchmark: 1290.9467, usercpu_time_millis: 890.869, usercpu_time_millis_testing: 22.455, usercpu_time_millis_training: 868.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28603.0693, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1259.4225, usercpu_time_millis: 539.02, usercpu_time_millis_testing: 19.361, usercpu_time_millis_training: 519.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.937, kappa: 0.8438, kb_relative_information_score: 24641.4066, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4867, scimark_benchmark: 1315.0446, usercpu_time_millis: 1956.455, usercpu_time_millis_testing: 60.808, usercpu_time_millis_training: 1895.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29068.6051, mean_absolute_error: 0.0681, 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: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3707, scimark_benchmark: 1257.4962, usercpu_time_millis: 3893.215, usercpu_time_millis_testing: 71.107, usercpu_time_millis_training: 3822.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9576, kappa: 0.8953, kb_relative_information_score: 26002.3546, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271, scimark_benchmark: 1267.4821, usercpu_time_millis: 2277.162, usercpu_time_millis_testing: 106.736, usercpu_time_millis_training: 2170.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9227, kappa: 0.8063, kb_relative_information_score: 24134.3502, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9249, prior_entropy: 0.863, recall: 0.9249, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5093, scimark_benchmark: 1247.7308, usercpu_time_millis: 1167.895, usercpu_time_millis_testing: 20.807, usercpu_time_millis_training: 1147.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9528, kappa: 0.8842, kb_relative_information_score: 27473.9724, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271, scimark_benchmark: 1315.2054, usercpu_time_millis: 113.828, usercpu_time_millis_testing: 4.613, usercpu_time_millis_training: 109.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9615, kappa: 0.9052, kb_relative_information_score: 28065.3239, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.387, scimark_benchmark: 1267.0176, usercpu_time_millis: 1338.157, usercpu_time_millis_testing: 46.365, usercpu_time_millis_training: 1291.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9655, kappa: 0.9154, kb_relative_information_score: 29367.1008, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602, scimark_benchmark: 1288.0872, usercpu_time_millis: 4533.567, usercpu_time_millis_testing: 55.187, usercpu_time_millis_training: 4478.38,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.951, kappa: 0.8784, kb_relative_information_score: 23332.3301, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4844, scimark_benchmark: 1261.702, usercpu_time_millis: 233.777, usercpu_time_millis_testing: 18.279, usercpu_time_millis_training: 215.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28430.3993, mean_absolute_error: 0.0755, 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: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935, scimark_benchmark: 1264.8245, usercpu_time_millis: 4490.529, usercpu_time_millis_testing: 55.663, usercpu_time_millis_training: 4434.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9425, kappa: 0.8575, kb_relative_information_score: 24881.4253, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4757, scimark_benchmark: 1271.9959, usercpu_time_millis: 98.307, usercpu_time_millis_testing: 5.388, usercpu_time_millis_training: 92.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28007.8163, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3913, scimark_benchmark: 1270.8805, usercpu_time_millis: 363.589, usercpu_time_millis_testing: 17.113, usercpu_time_millis_training: 346.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9608, kappa: 0.9036, kb_relative_information_score: 28306.4449, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1269.7397, usercpu_time_millis: 1063.821, usercpu_time_millis_testing: 48.555, usercpu_time_millis_training: 1015.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9442, kappa: 0.8623, kb_relative_information_score: 26052.5577, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4594, scimark_benchmark: 1268.1447, usercpu_time_millis: 4936.835, usercpu_time_millis_testing: 80.426, usercpu_time_millis_training: 4856.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9353, kappa: 0.8394, kb_relative_information_score: 24306.8699, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9364, prior_entropy: 0.863, recall: 0.9364, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4939, scimark_benchmark: 1253.6497, usercpu_time_millis: 1849.754, usercpu_time_millis_testing: 69.814, usercpu_time_millis_training: 1779.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29362.4131, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1236.2504, usercpu_time_millis: 1186.448, usercpu_time_millis_testing: 34.329, usercpu_time_millis_training: 1152.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.943, kappa: 0.8597, kb_relative_information_score: 26356.0109, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4605, scimark_benchmark: 1277.6295, usercpu_time_millis: 295.821, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 290.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9528, kappa: 0.8831, kb_relative_information_score: 24691.3422, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4584, scimark_benchmark: 1270.2588, usercpu_time_millis: 1114.182, usercpu_time_millis_testing: 56.096, usercpu_time_millis_training: 1058.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9313, kappa: 0.8289, kb_relative_information_score: 24165.9161, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.5009, scimark_benchmark: 1307.5275, usercpu_time_millis: 1780.062, usercpu_time_millis_testing: 51.444, usercpu_time_millis_training: 1728.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9545, kappa: 0.8881, kb_relative_information_score: 27190.67, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4209, scimark_benchmark: 1273.6453, usercpu_time_millis: 3136.115, usercpu_time_millis_testing: 94.765, usercpu_time_millis_training: 3041.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28492.0317, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3856, scimark_benchmark: 1263.6683, usercpu_time_millis: 403.768, usercpu_time_millis_testing: 9.124, usercpu_time_millis_training: 394.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9365, kappa: 0.8424, kb_relative_information_score: 23016.5262, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5099, scimark_benchmark: 1287.3011, usercpu_time_millis: 463.554, usercpu_time_millis_testing: 18.738, usercpu_time_millis_training: 444.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 28885.3873, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, scimark_benchmark: 1268.1457, usercpu_time_millis: 3090.698, usercpu_time_millis_testing: 92.705, usercpu_time_millis_training: 2997.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9576, kappa: 0.896, kb_relative_information_score: 28123.6436, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1302.3769, usercpu_time_millis: 1855.52, usercpu_time_millis_testing: 22.607, usercpu_time_millis_training: 1832.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.914, kappa: 0.786, kb_relative_information_score: 21519.4154, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9148, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5553, scimark_benchmark: 1290.2555, usercpu_time_millis: 1047.468, usercpu_time_millis_testing: 40.181, usercpu_time_millis_training: 1007.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9558, kappa: 0.8918, kb_relative_information_score: 27949.801, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4107, scimark_benchmark: 1289.8612, usercpu_time_millis: 4367.145, usercpu_time_millis_testing: 33.015, usercpu_time_millis_training: 4334.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9448, kappa: 0.8638, kb_relative_information_score: 25848.9532, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4585, scimark_benchmark: 1269.5956, usercpu_time_millis: 4712.587, usercpu_time_millis_testing: 99.403, usercpu_time_millis_training: 4613.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9028, kappa: 0.754, kb_relative_information_score: 16555.5974, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9119, predictive_accuracy: 0.9074, prior_entropy: 0.863, recall: 0.9074, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6432, scimark_benchmark: 1272.186, usercpu_time_millis: 143.896, usercpu_time_millis_testing: 10.392, usercpu_time_millis_training: 133.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29609.6301, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1270.2217, usercpu_time_millis: 2155.286, usercpu_time_millis_testing: 22.516, usercpu_time_millis_training: 2132.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9449, kappa: 0.8638, kb_relative_information_score: 25557.2717, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4581, scimark_benchmark: 1305.8105, usercpu_time_millis: 722.926, usercpu_time_millis_testing: 22.462, usercpu_time_millis_training: 700.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9322, kappa: 0.8308, kb_relative_information_score: 19563.0643, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5779, scimark_benchmark: 1310.2686, usercpu_time_millis: 686.956, usercpu_time_millis_testing: 38.206, usercpu_time_millis_training: 648.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9629, kappa: 0.9087, kb_relative_information_score: 28706.1324, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3793, scimark_benchmark: 1266.9357, usercpu_time_millis: 212.935, usercpu_time_millis_testing: 9.134, usercpu_time_millis_training: 203.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8663, kappa: 0.6581, kb_relative_information_score: 15343.4913, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8883, predictive_accuracy: 0.8767, prior_entropy: 0.863, recall: 0.8767, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6703, scimark_benchmark: 1271.9442, usercpu_time_millis: 1066.828, usercpu_time_millis_testing: 92.341, usercpu_time_millis_training: 974.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9475, kappa: 0.8704, kb_relative_information_score: 25815.2493, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4517, scimark_benchmark: 1259.7462, usercpu_time_millis: 1323.287, usercpu_time_millis_testing: 53.799, usercpu_time_millis_training: 1269.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.951, kappa: 0.8792, kb_relative_information_score: 26218.851, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1266.7989, usercpu_time_millis: 1448.795, usercpu_time_millis_testing: 78.601, usercpu_time_millis_training: 1370.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9199, kappa: 0.7984, kb_relative_information_score: 18247.3224, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9256, predictive_accuracy: 0.9228, prior_entropy: 0.863, recall: 0.9228, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.273, root_relative_squared_error: 0.6043, scimark_benchmark: 1280.8625, usercpu_time_millis: 355.771, usercpu_time_millis_testing: 26.018, usercpu_time_millis_training: 329.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9574, kappa: 0.8955, kb_relative_information_score: 28107.744, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1302.5901, usercpu_time_millis: 3574.553, usercpu_time_millis_testing: 46.138, usercpu_time_millis_training: 3528.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9366, kappa: 0.842, kb_relative_information_score: 20436.6191, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5566, scimark_benchmark: 1251.912, usercpu_time_millis: 793.359, usercpu_time_millis_testing: 60.747, usercpu_time_millis_training: 732.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9391, kappa: 0.8492, kb_relative_information_score: 25144.3457, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4768, scimark_benchmark: 1266.4841, usercpu_time_millis: 1685.314, usercpu_time_millis_testing: 51.277, usercpu_time_millis_training: 1634.037,

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