Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9774, kappa: 0.9045, kb_relative_information_score: 2681.7519, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.396, scimark_benchmark: 1742.1643, usercpu_time_millis: 658.067, usercpu_time_millis_testing: 2.332, usercpu_time_millis_training: 655.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9729, kappa: 0.8853, kb_relative_information_score: 2619.2437, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.42, scimark_benchmark: 1739.4195, usercpu_time_millis: 410.529, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 409.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.959, kappa: 0.8301, kb_relative_information_score: 2247.0203, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4993, scimark_benchmark: 1740.3141, usercpu_time_millis: 210.982, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 210.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9765, kappa: 0.9, kb_relative_information_score: 2497.5943, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4271, scimark_benchmark: 1764.1618, usercpu_time_millis: 80.545, usercpu_time_millis_testing: 1.744, usercpu_time_millis_training: 78.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9732, kappa: 0.8867, kb_relative_information_score: 2386.0931, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4487, scimark_benchmark: 1729.6455, usercpu_time_millis: 117.356, usercpu_time_millis_testing: 1.572, usercpu_time_millis_training: 115.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9708, kappa: 0.8764, kb_relative_information_score: 2532.2064, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4457, scimark_benchmark: 1729.5346, usercpu_time_millis: 81.658, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 81.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9743, kappa: 0.8916, kb_relative_information_score: 2631.6942, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4174, scimark_benchmark: 1210.4985, usercpu_time_millis: 2818.184, usercpu_time_millis_testing: 3.222, usercpu_time_millis_training: 2814.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2529.3183, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4488, scimark_benchmark: 1196.3556, usercpu_time_millis: 4206.936, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 4204.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9596, kappa: 0.8329, kb_relative_information_score: 2286.5269, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5149, scimark_benchmark: 1176.3968, usercpu_time_millis: 2904.119, usercpu_time_millis_testing: 2.688, usercpu_time_millis_training: 2901.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: 0.8876, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1214.2439, usercpu_time_millis: 8.978, usercpu_time_millis_testing: 1.488, usercpu_time_millis_training: 7.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9734, kappa: 0.8882, kb_relative_information_score: 2662.0403, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4178, scimark_benchmark: 1229.7202, usercpu_time_millis: 9599.62, usercpu_time_millis_testing: 4.003, usercpu_time_millis_training: 9595.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9588, kappa: 0.826, kb_relative_information_score: 2256.5698, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9585, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5068, scimark_benchmark: 1216.1168, usercpu_time_millis: 104.469, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 103.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9698, kappa: 0.8721, kb_relative_information_score: 2532.8457, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4501, scimark_benchmark: 1197.7902, usercpu_time_millis: 519.358, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 518.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9702, kappa: 0.8718, kb_relative_information_score: 2368.5994, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4585, scimark_benchmark: 1211.0402, usercpu_time_millis: 233.068, usercpu_time_millis_testing: 5.642, usercpu_time_millis_training: 227.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9657, kappa: 0.8543, kb_relative_information_score: 2490.5963, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9658, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4616, scimark_benchmark: 1209.1413, usercpu_time_millis: 760.023, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 758.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.974, kappa: 0.8906, kb_relative_information_score: 2621.726, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.424, scimark_benchmark: 1186.385, usercpu_time_millis: 5037.714, usercpu_time_millis_testing: 2.886, usercpu_time_millis_training: 5034.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.96, kappa: 0.8336, kb_relative_information_score: 2275.6348, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4977, scimark_benchmark: 1212.0719, usercpu_time_millis: 551.985, usercpu_time_millis_testing: 1.893, usercpu_time_millis_training: 550.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9665, kappa: 0.86, kb_relative_information_score: 2361.8083, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9664, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4756, scimark_benchmark: 1209.4172, usercpu_time_millis: 520.934, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 519.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9721, kappa: 0.8819, kb_relative_information_score: 2606.8148, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4293, scimark_benchmark: 1207.3783, usercpu_time_millis: 6023.878, usercpu_time_millis_testing: 2.921, usercpu_time_millis_training: 6020.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.963, kappa: 0.8463, kb_relative_information_score: 2352.6718, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4955, scimark_benchmark: 1172.5535, usercpu_time_millis: 4559.792, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 4558.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2605.6031, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4301, scimark_benchmark: 1210.0467, usercpu_time_millis: 2078.4, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 2076.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9697, kappa: 0.8701, kb_relative_information_score: 2236.9321, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9706, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4791, scimark_benchmark: 1205.143, usercpu_time_millis: 97.835, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 96.066,
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: 0.9775, f_measure: 0.9765, kappa: 0.9014, kb_relative_information_score: 2691.89, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.411, scimark_benchmark: 1215.9026, usercpu_time_millis: 4929.856, usercpu_time_millis_testing: 2.376, usercpu_time_millis_training: 4927.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9744, kappa: 0.8928, kb_relative_information_score: 2683.522, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4187, scimark_benchmark: 1206.5482, usercpu_time_millis: 4889.33, usercpu_time_millis_testing: 2.782, usercpu_time_millis_training: 4886.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9742, kappa: 0.8899, kb_relative_information_score: 2453.7285, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.4424, scimark_benchmark: 1213.0975, usercpu_time_millis: 220.78, usercpu_time_millis_testing: 3.586, usercpu_time_millis_training: 217.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.973, kappa: 0.8857, kb_relative_information_score: 2523.2131, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4322, scimark_benchmark: 1210.3917, usercpu_time_millis: 879.211, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 876.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2614.3757, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.427, scimark_benchmark: 1212.3441, usercpu_time_millis: 4725.581, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 4722.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9763, kappa: 0.8997, kb_relative_information_score: 2598.3321, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9766, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4063, scimark_benchmark: 1200.2859, usercpu_time_millis: 170.349, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 168.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.964, kappa: 0.8503, kb_relative_information_score: 2298.8337, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4821, scimark_benchmark: 1210.3933, usercpu_time_millis: 2302.283, usercpu_time_millis_testing: 4.346, usercpu_time_millis_training: 2297.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9594, kappa: 0.8321, kb_relative_information_score: 2286.2468, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.5249, scimark_benchmark: 1213.2551, usercpu_time_millis: 3640.481, usercpu_time_millis_testing: 2.073, usercpu_time_millis_training: 3638.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.974, kappa: 0.8895, kb_relative_information_score: 2470.5868, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9745, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4342, scimark_benchmark: 1193.533, usercpu_time_millis: 15.003, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 14.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9586, kappa: 0.8294, kb_relative_information_score: 2257.7467, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.502, scimark_benchmark: 1214.9376, usercpu_time_millis: 603.811, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 602.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2288.6535, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5185, scimark_benchmark: 1203.4363, usercpu_time_millis: 1868.617, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 1867.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9733, kappa: 0.8876, kb_relative_information_score: 2384.4675, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4543, scimark_benchmark: 1192.808, usercpu_time_millis: 1424.617, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 1421.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.1067, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1211.1772, usercpu_time_millis: 8.902, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 7.382,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9661, kappa: 0.8531, kb_relative_information_score: 2269.3889, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9682, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4772, scimark_benchmark: 1735.5975, usercpu_time_millis: 76.751, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 74.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.5312, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1709.5279, usercpu_time_millis: 6.341, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 5.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -5.7206, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1701.6701, usercpu_time_millis: 5.032, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 4.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9695, kappa: 0.8712, kb_relative_information_score: 2572.5928, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4508, scimark_benchmark: 1727.1069, usercpu_time_millis: 6707.052, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 6704.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9602, kappa: 0.8354, kb_relative_information_score: 2309.532, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.4938, scimark_benchmark: 1722.7088, usercpu_time_millis: 522.323, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 521.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9678, kappa: 0.861, kb_relative_information_score: 2382.5212, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4752, scimark_benchmark: 1722.7088, usercpu_time_millis: 108.369, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 105.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2552.969, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4448, scimark_benchmark: 1738.1722, usercpu_time_millis: 4448.576, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 4446.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9697, kappa: 0.8726, kb_relative_information_score: 2439.4188, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4624, scimark_benchmark: 1853.0716, usercpu_time_millis: 3684.924, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 3682.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9588, kappa: 0.8299, kb_relative_information_score: 2300.6377, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.527, scimark_benchmark: 1857.1082, usercpu_time_millis: 3670.969, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 3669.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9699, kappa: 0.8726, kb_relative_information_score: 2587.6542, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4542, scimark_benchmark: 1719.8791, usercpu_time_millis: 3421.805, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 3420.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9759, kappa: 0.8986, kb_relative_information_score: 2669.3002, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4186, scimark_benchmark: 1850.2875, usercpu_time_millis: 2916.854, usercpu_time_millis_testing: 1.557, usercpu_time_millis_training: 2915.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.959, kappa: 0.8307, kb_relative_information_score: 2321.3424, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5083, scimark_benchmark: 1747.3159, usercpu_time_millis: 2192.733, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 2191.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9639, kappa: 0.8497, kb_relative_information_score: 2386.2918, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4862, scimark_benchmark: 1744.0867, usercpu_time_millis: 2050.869, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 2049.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2558.3984, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4439, scimark_benchmark: 1748.3904, usercpu_time_millis: 1859.162, usercpu_time_millis_testing: 1.818, usercpu_time_millis_training: 1857.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.975, kappa: 0.895, kb_relative_information_score: 2674.1869, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.144, root_relative_squared_error: 0.415, scimark_benchmark: 1856.0123, usercpu_time_millis: 1466.351, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 1465.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9767, kappa: 0.9019, kb_relative_information_score: 2668.4409, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.397, scimark_benchmark: 1747.4951, usercpu_time_millis: 953.342, usercpu_time_millis_testing: 2.573, usercpu_time_millis_training: 950.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9736, kappa: 0.8884, kb_relative_information_score: 2551.687, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4287, scimark_benchmark: 1849.3014, usercpu_time_millis: 855.526, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 853.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9702, kappa: 0.8738, kb_relative_information_score: 2581.2394, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4513, scimark_benchmark: 1744.7255, usercpu_time_millis: 745.743, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 745.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2578.3401, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4274, scimark_benchmark: 1739.6738, usercpu_time_millis: 572.175, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 570.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.97, kappa: 0.8736, kb_relative_information_score: 2419.0792, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4613, scimark_benchmark: 1744.4599, usercpu_time_millis: 400.271, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 399.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9594, kappa: 0.8324, kb_relative_information_score: 2279.9963, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.5269, scimark_benchmark: 1857.5664, usercpu_time_millis: 326.059, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 325.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9639, kappa: 0.8475, kb_relative_information_score: 2204.8474, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5102, scimark_benchmark: 1740.0256, usercpu_time_millis: 156.776, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 155.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.978, kappa: 0.9073, kb_relative_information_score: 2667.1973, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9781, predictive_accuracy: 0.9783, prior_entropy: 0.5848, recall: 0.9783, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3985, scimark_benchmark: 1850.2875, usercpu_time_millis: 132.076, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 131.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9619, kappa: 0.8381, kb_relative_information_score: 2302.4284, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9619, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4981, scimark_benchmark: 1739.1994, usercpu_time_millis: 22.908, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 22.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9681, kappa: 0.8657, kb_relative_information_score: 2403.5374, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.968, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.486, scimark_benchmark: 1740.6097, usercpu_time_millis: 4.926, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 4.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.7445, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1741.9145, usercpu_time_millis: 4.647, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 3.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9586, kappa: 0.8294, kb_relative_information_score: 2287.6553, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5288, scimark_benchmark: 1853.3841, usercpu_time_millis: 4476.353, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 4474.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9705, kappa: 0.8752, kb_relative_information_score: 2580.9799, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4488, scimark_benchmark: 1830.1732, usercpu_time_millis: 4262.376, usercpu_time_millis_testing: 2.223, usercpu_time_millis_training: 4260.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9729, kappa: 0.8863, kb_relative_information_score: 2692.5341, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.423, scimark_benchmark: 1850.8706, usercpu_time_millis: 3518.312, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 3516.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9709, kappa: 0.8774, kb_relative_information_score: 2421.2419, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.4661, scimark_benchmark: 1815.355, usercpu_time_millis: 3495.979, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 3494.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9723, kappa: 0.8831, kb_relative_information_score: 2608.4392, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4305, scimark_benchmark: 1851.3986, usercpu_time_millis: 2116.203, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 2114.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2590.71, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4304, scimark_benchmark: 1839.7911, usercpu_time_millis: 1483.873, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 1481.996,

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