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: 0.9887, f_measure: 0.9533, kappa: 0.8853, kb_relative_information_score: 27467.3552, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4247, scimark_benchmark: 1291.0863, usercpu_time_millis: 3740.892, usercpu_time_millis_testing: 72.877, usercpu_time_millis_training: 3668.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.92, kappa: 0.7993, kb_relative_information_score: 21377.1751, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9234, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5515, scimark_benchmark: 1262.6246, usercpu_time_millis: 1044.279, usercpu_time_millis_testing: 50.438, usercpu_time_millis_training: 993.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9102, kappa: 0.7733, kb_relative_information_score: 17309.3976, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9178, predictive_accuracy: 0.9141, prior_entropy: 0.863, recall: 0.9141, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6261, scimark_benchmark: 1297.685, usercpu_time_millis: 1073.781, usercpu_time_millis_testing: 79.867, usercpu_time_millis_training: 993.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9506, kappa: 0.8783, kb_relative_information_score: 26400.83, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4387, scimark_benchmark: 1263.7919, usercpu_time_millis: 1040.496, usercpu_time_millis_testing: 31.331, usercpu_time_millis_training: 1009.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28594.4567, mean_absolute_error: 0.0742, 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: 0.1819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3849, scimark_benchmark: 1259.2495, usercpu_time_millis: 1587.016, usercpu_time_millis_testing: 48.186, usercpu_time_millis_training: 1538.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29793.5055, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3469, scimark_benchmark: 1288.0498, usercpu_time_millis: 3609.102, usercpu_time_millis_testing: 35.956, usercpu_time_millis_training: 3573.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9452, kappa: 0.865, kb_relative_information_score: 26431.4125, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525, scimark_benchmark: 1257.7193, usercpu_time_millis: 2046.359, usercpu_time_millis_testing: 35.1, usercpu_time_millis_training: 2011.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28891.2215, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3773, scimark_benchmark: 1302.8154, usercpu_time_millis: 11060.589, usercpu_time_millis_testing: 107.294, usercpu_time_millis_training: 10953.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9548, kappa: 0.8891, kb_relative_information_score: 27811.5442, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4144, scimark_benchmark: 1286.6457, usercpu_time_millis: 158.339, usercpu_time_millis_testing: 6.985, usercpu_time_millis_training: 151.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9474, kappa: 0.8701, kb_relative_information_score: 26257.9141, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4484, scimark_benchmark: 1299.7257, usercpu_time_millis: 844.091, usercpu_time_millis_testing: 33.332, usercpu_time_millis_training: 810.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9247, kappa: 0.8117, kb_relative_information_score: 24545.9946, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5044, scimark_benchmark: 1259.2386, usercpu_time_millis: 3108.55, usercpu_time_millis_testing: 39.369, usercpu_time_millis_training: 3069.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9103, kappa: 0.7735, kb_relative_information_score: 17408.0795, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9179, predictive_accuracy: 0.9141, prior_entropy: 0.863, recall: 0.9141, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.282, root_relative_squared_error: 0.6242, scimark_benchmark: 1265.8615, usercpu_time_millis: 268.09, usercpu_time_millis_testing: 19.578, usercpu_time_millis_training: 248.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9492, kappa: 0.8742, kb_relative_information_score: 24000.834, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764, scimark_benchmark: 1257.6185, usercpu_time_millis: 167.849, usercpu_time_millis_testing: 12.393, usercpu_time_millis_training: 155.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9604, kappa: 0.9028, kb_relative_information_score: 28357.8986, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3912, scimark_benchmark: 1272.868, usercpu_time_millis: 2110.259, usercpu_time_millis_testing: 76.906, usercpu_time_millis_training: 2033.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 29035.1212, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, scimark_benchmark: 1254.8097, usercpu_time_millis: 5023.322, usercpu_time_millis_testing: 73.652, usercpu_time_millis_training: 4949.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.943, kappa: 0.8595, kb_relative_information_score: 26367.7931, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4609, scimark_benchmark: 1253.0508, usercpu_time_millis: 389.737, usercpu_time_millis_testing: 4.881, usercpu_time_millis_training: 384.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29697.6243, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.35, scimark_benchmark: 1260.6634, usercpu_time_millis: 2676.025, usercpu_time_millis_testing: 34.085, usercpu_time_millis_training: 2641.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9373, kappa: 0.8449, kb_relative_information_score: 25637.9125, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4773, scimark_benchmark: 1261.1598, usercpu_time_millis: 1196.517, usercpu_time_millis_testing: 19.819, usercpu_time_millis_training: 1176.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9333, kappa: 0.8345, kb_relative_information_score: 25160.9044, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.494, scimark_benchmark: 1300.2087, usercpu_time_millis: 2921.122, usercpu_time_millis_testing: 27.719, usercpu_time_millis_training: 2893.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28775.9123, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3758, scimark_benchmark: 1295.7507, usercpu_time_millis: 1187.781, usercpu_time_millis_testing: 27.594, usercpu_time_millis_training: 1160.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9587, kappa: 0.8985, kb_relative_information_score: 27919.2851, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1216.4491, usercpu_time_millis: 4618.979, usercpu_time_millis_testing: 83.277, usercpu_time_millis_training: 4535.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9479, kappa: 0.8722, kb_relative_information_score: 26913.8244, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4438, scimark_benchmark: 1263.8113, usercpu_time_millis: 6853.021, usercpu_time_millis_testing: 53.011, usercpu_time_millis_training: 6800.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 28813.4296, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3797, scimark_benchmark: 1251.1033, usercpu_time_millis: 953.851, usercpu_time_millis_testing: 12.531, usercpu_time_millis_training: 941.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 28949.4751, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1295.0828, usercpu_time_millis: 2487.517, usercpu_time_millis_testing: 47.444, usercpu_time_millis_training: 2440.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9547, kappa: 0.8889, kb_relative_information_score: 27756.0477, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4164, scimark_benchmark: 1257.6497, usercpu_time_millis: 1595.368, usercpu_time_millis_testing: 15.662, usercpu_time_millis_training: 1579.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9369, kappa: 0.8436, kb_relative_information_score: 25260.7657, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.483, scimark_benchmark: 1285.5714, usercpu_time_millis: 982.249, usercpu_time_millis_testing: 25.138, usercpu_time_millis_training: 957.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9389, kappa: 0.8489, kb_relative_information_score: 25540.7375, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4737, scimark_benchmark: 1299.1917, usercpu_time_millis: 1659.005, usercpu_time_millis_testing: 28.185, usercpu_time_millis_training: 1630.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9284, kappa: 0.8202, kb_relative_information_score: 19041.2675, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5842, scimark_benchmark: 1255.2412, usercpu_time_millis: 1216.331, usercpu_time_millis_testing: 93.742, usercpu_time_millis_training: 1122.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29160.2779, mean_absolute_error: 0.0667, 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: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3693, scimark_benchmark: 1288.8489, usercpu_time_millis: 7988.471, usercpu_time_millis_testing: 64.579, usercpu_time_millis_training: 7923.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9227, kappa: 0.8073, kb_relative_information_score: 19406.841, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5861, scimark_benchmark: 1295.1051, usercpu_time_millis: 427.95, usercpu_time_millis_testing: 27.678, usercpu_time_millis_training: 400.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9237, kappa: 0.8083, kb_relative_information_score: 18688.885, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9261, prior_entropy: 0.863, recall: 0.9261, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5951, scimark_benchmark: 1293.9987, usercpu_time_millis: 57.88, usercpu_time_millis_testing: 4.1, usercpu_time_millis_training: 53.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28489.1681, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3778, scimark_benchmark: 1271.8483, usercpu_time_millis: 2421.835, usercpu_time_millis_testing: 79.453, usercpu_time_millis_training: 2342.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9382, kappa: 0.8473, kb_relative_information_score: 25895.2379, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4729, scimark_benchmark: 1262.0055, usercpu_time_millis: 1496.022, usercpu_time_millis_testing: 19.581, usercpu_time_millis_training: 1476.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9335, kappa: 0.8347, kb_relative_information_score: 24789.2684, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4933, scimark_benchmark: 1254.2406, usercpu_time_millis: 5033.209, usercpu_time_millis_testing: 82.083, usercpu_time_millis_training: 4951.126,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9443, kappa: 0.8623, kb_relative_information_score: 25980.7535, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4574, scimark_benchmark: 1251.4266, usercpu_time_millis: 1655.938, usercpu_time_millis_testing: 81.806, usercpu_time_millis_training: 1574.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 29690.1409, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 1254.2314, usercpu_time_millis: 1694.19, usercpu_time_millis_testing: 30.45, usercpu_time_millis_training: 1663.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9553, kappa: 0.8902, kb_relative_information_score: 27540.1675, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4165, scimark_benchmark: 1225.0363, usercpu_time_millis: 363.093, usercpu_time_millis_testing: 14.292, usercpu_time_millis_training: 348.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9603, kappa: 0.9025, kb_relative_information_score: 28403.6391, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1254.241, usercpu_time_millis: 1388.934, usercpu_time_millis_testing: 46.676, usercpu_time_millis_training: 1342.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8997, kappa: 0.7458, kb_relative_information_score: 16248.3026, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9094, predictive_accuracy: 0.9046, prior_entropy: 0.863, recall: 0.9046, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.65, scimark_benchmark: 1277.6096, usercpu_time_millis: 125.087, usercpu_time_millis_testing: 8.505, usercpu_time_millis_training: 116.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9506, kappa: 0.8788, kb_relative_information_score: 27118.8922, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4349, scimark_benchmark: 1252.1361, usercpu_time_millis: 1097.03, usercpu_time_millis_testing: 24.185, usercpu_time_millis_training: 1072.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9555, kappa: 0.8909, kb_relative_information_score: 27759.1279, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139, scimark_benchmark: 1262.2505, usercpu_time_millis: 8149.179, usercpu_time_millis_testing: 82.73, usercpu_time_millis_training: 8066.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9615, kappa: 0.9055, kb_relative_information_score: 28690.7474, mean_absolute_error: 0.0726, 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: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1295.3933, usercpu_time_millis: 2915.122, usercpu_time_millis_testing: 51.242, usercpu_time_millis_training: 2863.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9318, kappa: 0.8305, kb_relative_information_score: 24868.4929, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961, scimark_benchmark: 1283.9921, usercpu_time_millis: 131.543, usercpu_time_millis_testing: 4.063, usercpu_time_millis_training: 127.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9231, kappa: 0.8079, kb_relative_information_score: 21334.6332, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9249, prior_entropy: 0.863, recall: 0.9249, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5502, scimark_benchmark: 1290.7391, usercpu_time_millis: 1517.344, usercpu_time_millis_testing: 56.448, usercpu_time_millis_training: 1460.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9579, kappa: 0.8967, kb_relative_information_score: 28218.8558, mean_absolute_error: 0.0782, 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: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3998, scimark_benchmark: 1246.7194, usercpu_time_millis: 5710.968, usercpu_time_millis_testing: 92.982, usercpu_time_millis_training: 5617.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 29032.5748, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3712, scimark_benchmark: 1234.3422, usercpu_time_millis: 5176.442, usercpu_time_millis_testing: 94.029, usercpu_time_millis_training: 5082.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29061.6514, mean_absolute_error: 0.0682, 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: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3698, scimark_benchmark: 1246.0083, usercpu_time_millis: 7353.652, usercpu_time_millis_testing: 106.327, usercpu_time_millis_training: 7247.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9596, kappa: 0.9, kb_relative_information_score: 26105.6731, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4186, scimark_benchmark: 1291.757, usercpu_time_millis: 1034.191, usercpu_time_millis_testing: 58.022, usercpu_time_millis_training: 976.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29352.9648, mean_absolute_error: 0.0647, 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: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3598, scimark_benchmark: 1226.3128, usercpu_time_millis: 1427.901, usercpu_time_millis_testing: 18.256, usercpu_time_millis_training: 1409.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29217.49, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3611, scimark_benchmark: 1276.1327, usercpu_time_millis: 2363.655, usercpu_time_millis_testing: 53.612, usercpu_time_millis_training: 2310.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9451, kappa: 0.8636, kb_relative_information_score: 23106.961, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1281.7011, usercpu_time_millis: 484.771, usercpu_time_millis_testing: 36.708, usercpu_time_millis_training: 448.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 27980.6822, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4046, scimark_benchmark: 1267.5958, usercpu_time_millis: 3831.906, usercpu_time_millis_testing: 82.009, usercpu_time_millis_training: 3749.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9178, kappa: 0.7934, kb_relative_information_score: 21766.6501, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5479, scimark_benchmark: 1264.5491, usercpu_time_millis: 474.148, usercpu_time_millis_testing: 13.892, usercpu_time_millis_training: 460.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9589, kappa: 0.899, kb_relative_information_score: 28268.0188, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3967, scimark_benchmark: 1273.9685, usercpu_time_millis: 4919.876, usercpu_time_millis_testing: 75.721, usercpu_time_millis_training: 4844.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9202, kappa: 0.7996, kb_relative_information_score: 23849.5485, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9226, prior_entropy: 0.863, recall: 0.9226, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1289.5932, usercpu_time_millis: 2821.44, usercpu_time_millis_testing: 49.26, usercpu_time_millis_training: 2772.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9304, kappa: 0.8268, kb_relative_information_score: 24333.3082, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5, scimark_benchmark: 1267.6751, usercpu_time_millis: 2695.91, usercpu_time_millis_testing: 53.441, usercpu_time_millis_training: 2642.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9645, kappa: 0.913, kb_relative_information_score: 29149.5842, mean_absolute_error: 0.0668, 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: 0.1637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1280.9393, usercpu_time_millis: 4398.12, usercpu_time_millis_testing: 43.964, usercpu_time_millis_training: 4354.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29647.5989, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3515, scimark_benchmark: 1288.426, usercpu_time_millis: 2722.175, usercpu_time_millis_testing: 37.428, usercpu_time_millis_training: 2684.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28803.4365, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3796, scimark_benchmark: 1252.3933, usercpu_time_millis: 921.304, usercpu_time_millis_testing: 21.045, usercpu_time_millis_training: 900.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29844.553, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3474, scimark_benchmark: 1239.0982, usercpu_time_millis: 1627.258, usercpu_time_millis_testing: 18.676, usercpu_time_millis_training: 1608.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9616, kappa: 0.9059, kb_relative_information_score: 28850.5, mean_absolute_error: 0.0702, 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: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3812, scimark_benchmark: 1260.2234, usercpu_time_millis: 7012.414, usercpu_time_millis_testing: 57.884, usercpu_time_millis_training: 6954.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28650.835, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3837, scimark_benchmark: 1258.2933, usercpu_time_millis: 2541.7, usercpu_time_millis_testing: 58.696, usercpu_time_millis_training: 2483.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29373.1129, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3614, scimark_benchmark: 1276.1888, usercpu_time_millis: 3072.349, usercpu_time_millis_testing: 35.049, usercpu_time_millis_training: 3037.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9341, kappa: 0.8366, kb_relative_information_score: 25131.1787, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4888, scimark_benchmark: 1243.7129, usercpu_time_millis: 2017.137, usercpu_time_millis_testing: 27.506, usercpu_time_millis_training: 1989.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9487, kappa: 0.8742, kb_relative_information_score: 26952.0048, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4411, scimark_benchmark: 1251.5129, usercpu_time_millis: 6231.908, usercpu_time_millis_testing: 93.092, usercpu_time_millis_training: 6138.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9528, kappa: 0.884, kb_relative_information_score: 27010.6257, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.43, scimark_benchmark: 1235.7336, usercpu_time_millis: 3025.26, usercpu_time_millis_testing: 64.712, usercpu_time_millis_training: 2960.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 28259.3566, mean_absolute_error: 0.0777, 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: 0.1905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1257.221, usercpu_time_millis: 3643.529, usercpu_time_millis_testing: 56.524, usercpu_time_millis_training: 3587.005,

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