OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, average_cost: 16.2719, f_measure: 0.7674, kappa: 0.051, kb_relative_information_score: -1928.5023, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.959, scimark_benchmark: 1312.5481, total_cost: 650030, usercpu_time_millis: 1134.361, usercpu_time_millis_testing: 27.399, usercpu_time_millis_training: 1106.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, average_cost: 16.6161, f_measure: 0.7601, kappa: 0.0205, kb_relative_information_score: -2437.8568, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1314.257, total_cost: 663780, usercpu_time_millis: 3282.555, usercpu_time_millis_testing: 79.658, usercpu_time_millis_training: 3202.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, average_cost: 16.2196, f_measure: 0.7683, kappa: 0.055, kb_relative_information_score: -2395.1953, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1340.073, total_cost: 647940, usercpu_time_millis: 1709.182, usercpu_time_millis_testing: 34.868, usercpu_time_millis_training: 1674.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, average_cost: 16.3948, f_measure: 0.7648, kappa: 0.0401, kb_relative_information_score: -2162.8392, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1283.2276, total_cost: 654940, usercpu_time_millis: 6031.522, usercpu_time_millis_testing: 131.03, usercpu_time_millis_training: 5900.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, average_cost: 16.7037, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2898.0571, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1338.5065, total_cost: 667280, usercpu_time_millis: 908.709, usercpu_time_millis_testing: 54.273, usercpu_time_millis_training: 854.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1957.1105, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1338.4777, total_cost: 672800, usercpu_time_millis: 716.309, usercpu_time_millis_testing: 59.865, usercpu_time_millis_training: 656.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1943.2773, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9709, scimark_benchmark: 1292.0579, total_cost: 672800, usercpu_time_millis: 1361.89, usercpu_time_millis_testing: 87.514, usercpu_time_millis_training: 1274.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, average_cost: 16.1212, f_measure: 0.7702, kappa: 0.0632, kb_relative_information_score: -2360.1416, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1317.1119, total_cost: 644010, usercpu_time_millis: 2547.583, usercpu_time_millis_testing: 28.693, usercpu_time_millis_training: 2518.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, average_cost: 16.6952, f_measure: 0.7585, kappa: 0.014, kb_relative_information_score: -1713.778, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8291, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1294.4729, total_cost: 666940, usercpu_time_millis: 875.006, usercpu_time_millis_testing: 44.974, usercpu_time_millis_training: 830.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, average_cost: 15.928, f_measure: 0.7729, kappa: 0.0758, kb_relative_information_score: -2887.226, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7873, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1304.6994, total_cost: 636290, usercpu_time_millis: 574.708, usercpu_time_millis_testing: 4.794, usercpu_time_millis_training: 569.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1964.9122, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9768, scimark_benchmark: 1291.1077, total_cost: 672800, usercpu_time_millis: 579.742, usercpu_time_millis_testing: 45.461, usercpu_time_millis_training: 534.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, average_cost: 15.7815, f_measure: 0.7756, kappa: 0.0873, kb_relative_information_score: -4169.4681, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1295.4121, total_cost: 630440, usercpu_time_millis: 2022.494, usercpu_time_millis_testing: 36.899, usercpu_time_millis_training: 1985.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, average_cost: 16.1362, f_measure: 0.7699, kappa: 0.0618, kb_relative_information_score: -2699.1365, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1309.6643, total_cost: 644610, usercpu_time_millis: 1815.67, usercpu_time_millis_testing: 29.034, usercpu_time_millis_training: 1786.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, average_cost: 16.536, f_measure: 0.7618, kappa: 0.0277, kb_relative_information_score: -2320.7124, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1290.273, total_cost: 660580, usercpu_time_millis: 3039.001, usercpu_time_millis_testing: 39.756, usercpu_time_millis_training: 2999.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, average_cost: 16.5465, f_measure: 0.7617, kappa: 0.0272, kb_relative_information_score: -2194.3533, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1296.6468, total_cost: 661000, usercpu_time_millis: 1622.291, usercpu_time_millis_testing: 39.608, usercpu_time_millis_training: 1582.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, average_cost: 16.1753, f_measure: 0.7692, kappa: 0.059, kb_relative_information_score: -2174.826, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1284.2535, total_cost: 646170, usercpu_time_millis: 3004.236, usercpu_time_millis_testing: 42.222, usercpu_time_millis_training: 2962.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, average_cost: 16.1735, f_measure: 0.7692, kappa: 0.0587, kb_relative_information_score: -2934.2198, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1268.0254, total_cost: 646100, usercpu_time_millis: 2911.439, usercpu_time_millis_testing: 78.783, usercpu_time_millis_training: 2832.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, average_cost: 16.5558, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: -2452.3393, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1313.3599, total_cost: 661370, usercpu_time_millis: 3689.501, usercpu_time_millis_testing: 83.075, usercpu_time_millis_training: 3606.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1864.1685, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1287.1877, total_cost: 672800, usercpu_time_millis: 853.636, usercpu_time_millis_testing: 50.442, usercpu_time_millis_training: 803.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, average_cost: 16.0288, f_measure: 0.7719, kappa: 0.0704, kb_relative_information_score: -3878.5777, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1261.1485, total_cost: 640320, usercpu_time_millis: 762.431, usercpu_time_millis_testing: 18.518, usercpu_time_millis_training: 743.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, average_cost: 16.4291, f_measure: 0.764, kappa: 0.0369, kb_relative_information_score: -2641.0283, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1315.3165, total_cost: 656310, usercpu_time_millis: 2512.988, usercpu_time_millis_testing: 79.791, usercpu_time_millis_training: 2433.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, average_cost: 16.0288, f_measure: 0.7719, kappa: 0.0704, kb_relative_information_score: -3523.7976, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1314.4574, total_cost: 640320, usercpu_time_millis: 3374.691, usercpu_time_millis_testing: 71.425, usercpu_time_millis_training: 3303.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, average_cost: 16.149, f_measure: 0.7697, kappa: 0.0609, kb_relative_information_score: -2383.0147, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1296.4974, total_cost: 645120, usercpu_time_millis: 7503.097, usercpu_time_millis_testing: 85.777, usercpu_time_millis_training: 7417.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, average_cost: 15.6761, f_measure: 0.7771, kappa: 0.0946, kb_relative_information_score: -3606.9884, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7882, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1289.7802, total_cost: 626230, usercpu_time_millis: 1275.996, usercpu_time_millis_testing: 31.749, usercpu_time_millis_training: 1244.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, average_cost: 16.6797, f_measure: 0.7588, kappa: 0.0153, kb_relative_information_score: -1992.405, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8194, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1313.89, total_cost: 666320, usercpu_time_millis: 59.047, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 56.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, average_cost: 16.6779, f_measure: 0.7587, kappa: 0.0146, kb_relative_information_score: -2509.0013, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7875, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1303.2277, total_cost: 666250, usercpu_time_millis: 2358.452, usercpu_time_millis_testing: 50.051, usercpu_time_millis_training: 2308.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, average_cost: 16.5913, f_measure: 0.7607, kappa: 0.0229, kb_relative_information_score: -2302.3491, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1289.8315, total_cost: 662790, usercpu_time_millis: 3230.584, usercpu_time_millis_testing: 83.838, usercpu_time_millis_training: 3146.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, average_cost: 16.5468, f_measure: 0.7616, kappa: 0.0268, kb_relative_information_score: -2574.4566, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1307.4216, total_cost: 661010, usercpu_time_millis: 1200.791, usercpu_time_millis_testing: 37.476, usercpu_time_millis_training: 1163.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, average_cost: 16.0884, f_measure: 0.7705, kappa: 0.0647, kb_relative_information_score: -2386.9083, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7933, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1343.8413, total_cost: 642700, usercpu_time_millis: 12588.86, usercpu_time_millis_testing: 110.094, usercpu_time_millis_training: 12478.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, average_cost: 15.9758, f_measure: 0.7729, kappa: 0.0746, kb_relative_information_score: -2590.5225, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1292.6143, total_cost: 638200, usercpu_time_millis: 145.758, usercpu_time_millis_testing: 3.629, usercpu_time_millis_training: 142.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, average_cost: 16.7588, f_measure: 0.757, kappa: 0.0077, kb_relative_information_score: -2413.5192, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8033, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1296.9173, total_cost: 669480, usercpu_time_millis: 672.993, usercpu_time_millis_testing: 34.195, usercpu_time_millis_training: 638.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, average_cost: 16.6008, f_measure: 0.7605, kappa: 0.0223, kb_relative_information_score: -2047.4234, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8081, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1297.4541, total_cost: 663170, usercpu_time_millis: 1947.14, usercpu_time_millis_testing: 54.245, usercpu_time_millis_training: 1892.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, average_cost: 16.2812, f_measure: 0.767, kappa: 0.0497, kb_relative_information_score: -2340.5002, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1294.3056, total_cost: 650400, usercpu_time_millis: 146.01, usercpu_time_millis_testing: 2.257, usercpu_time_millis_training: 143.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, average_cost: 16.1798, f_measure: 0.769, kappa: 0.058, kb_relative_information_score: -2938.4544, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1287.2333, total_cost: 646350, usercpu_time_millis: 757.444, usercpu_time_millis_testing: 16.791, usercpu_time_millis_training: 740.653,
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: 0.6744, average_cost: 15.6053, f_measure: 0.7772, kappa: 0.0966, kb_relative_information_score: -4103.3012, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7814, predictive_accuracy: 0.8309, prior_entropy: 0.6541, recall: 0.8309, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1287.6409, total_cost: 623400, usercpu_time_millis: 884.237, usercpu_time_millis_testing: 18.019, usercpu_time_millis_training: 866.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, average_cost: 16.6444, f_measure: 0.7596, kappa: 0.0185, kb_relative_information_score: -2360.0364, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8151, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1288.5362, total_cost: 664910, usercpu_time_millis: 1641.655, usercpu_time_millis_testing: 99.832, usercpu_time_millis_training: 1541.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, average_cost: 16.5588, f_measure: 0.7614, kappa: 0.026, kb_relative_information_score: -2208.8321, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1301.9877, total_cost: 661490, usercpu_time_millis: 1442.832, usercpu_time_millis_testing: 40.363, usercpu_time_millis_training: 1402.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, average_cost: 16.8251, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -1755.6337, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8095, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1286.614, total_cost: 672130, usercpu_time_millis: 2009.149, usercpu_time_millis_testing: 96.517, usercpu_time_millis_training: 1912.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, average_cost: 16.8206, f_measure: 0.7556, kappa: 0.002, kb_relative_information_score: -1860.0848, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1281.0913, total_cost: 671950, usercpu_time_millis: 1052.497, usercpu_time_millis_testing: 67.767, usercpu_time_millis_training: 984.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, average_cost: 16.3287, f_measure: 0.7662, kappa: 0.0461, kb_relative_information_score: -2134.724, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8033, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9591, scimark_benchmark: 1306.4262, total_cost: 652300, usercpu_time_millis: 2235.82, usercpu_time_millis_testing: 83.75, usercpu_time_millis_training: 2152.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, average_cost: 16.1054, f_measure: 0.7706, kappa: 0.0648, kb_relative_information_score: -2482.6153, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1307.1187, total_cost: 643380, usercpu_time_millis: 1064.856, usercpu_time_millis_testing: 29.969, usercpu_time_millis_training: 1034.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, average_cost: 16.0001, f_measure: 0.7725, kappa: 0.0728, kb_relative_information_score: -2726.1924, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1288.8533, total_cost: 639170, usercpu_time_millis: 2556.359, usercpu_time_millis_testing: 39.079, usercpu_time_millis_training: 2517.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, average_cost: 16.8068, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -2270.0334, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1291.0869, total_cost: 671400, usercpu_time_millis: 1567.462, usercpu_time_millis_testing: 77.211, usercpu_time_millis_training: 1490.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, average_cost: 16.8023, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -2262.8364, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1300.3834, total_cost: 671220, usercpu_time_millis: 556.172, usercpu_time_millis_testing: 24.588, usercpu_time_millis_training: 531.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, average_cost: 16.6972, f_measure: 0.7584, kappa: 0.0134, kb_relative_information_score: -2438.0288, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8029, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1283.3921, total_cost: 667020, usercpu_time_millis: 753.595, usercpu_time_millis_testing: 25.808, usercpu_time_millis_training: 727.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, average_cost: 16.7806, f_measure: 0.7565, kappa: 0.0057, kb_relative_information_score: -2300.1064, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1268.0274, total_cost: 670350, usercpu_time_millis: 1408.697, usercpu_time_millis_testing: 71.023, usercpu_time_millis_training: 1337.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, average_cost: 16.1855, f_measure: 0.7689, kappa: 0.0577, kb_relative_information_score: -3311.5165, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1281.1972, total_cost: 646580, usercpu_time_millis: 1069.326, usercpu_time_millis_testing: 34.999, usercpu_time_millis_training: 1034.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, average_cost: 16.153, f_measure: 0.7695, kappa: 0.0601, kb_relative_information_score: -2282.1446, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1294.3247, total_cost: 645280, usercpu_time_millis: 3400.967, usercpu_time_millis_testing: 39.616, usercpu_time_millis_training: 3361.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, average_cost: 16.6749, f_measure: 0.7589, kappa: 0.0155, kb_relative_information_score: -2481.0772, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1292.3794, total_cost: 666130, usercpu_time_millis: 126.871, usercpu_time_millis_testing: 6.382, usercpu_time_millis_training: 120.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1976.9062, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1270.2289, total_cost: 672800, usercpu_time_millis: 120.64, usercpu_time_millis_testing: 6.623, usercpu_time_millis_training: 114.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1972.6065, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.971, scimark_benchmark: 1290.0649, total_cost: 672800, usercpu_time_millis: 165.685, usercpu_time_millis_testing: 9.088, usercpu_time_millis_training: 156.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, average_cost: 16.6053, f_measure: 0.7603, kappa: 0.0214, kb_relative_information_score: -2342.6793, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1284.336, total_cost: 663350, usercpu_time_millis: 4076.669, usercpu_time_millis_testing: 91.583, usercpu_time_millis_training: 3985.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, average_cost: 16.8063, f_measure: 0.7559, kappa: 0.0033, kb_relative_information_score: -2345.2136, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9723, scimark_benchmark: 1300.3295, total_cost: 671380, usercpu_time_millis: 26.084, usercpu_time_millis_testing: 2.352, usercpu_time_millis_training: 23.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, average_cost: 16.5122, f_measure: 0.7623, kappa: 0.0298, kb_relative_information_score: -2679.5022, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1302.2903, total_cost: 659630, usercpu_time_millis: 1102.615, usercpu_time_millis_testing: 43.922, usercpu_time_millis_training: 1058.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, average_cost: 16.5685, f_measure: 0.7612, kappa: 0.0251, kb_relative_information_score: -2659.6036, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8053, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1314.6495, total_cost: 661880, usercpu_time_millis: 1438.649, usercpu_time_millis_testing: 81.083, usercpu_time_millis_training: 1357.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, average_cost: 15.9164, f_measure: 0.7737, kappa: 0.0786, kb_relative_information_score: -2790.6537, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1302.6912, total_cost: 635830, usercpu_time_millis: 4368.365, usercpu_time_millis_testing: 54.744, usercpu_time_millis_training: 4313.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, average_cost: 16.18, f_measure: 0.769, kappa: 0.058, kb_relative_information_score: -2262.6867, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1290.3865, total_cost: 646360, usercpu_time_millis: 8609.645, usercpu_time_millis_testing: 98.89, usercpu_time_millis_training: 8510.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, average_cost: 16.7172, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -1797.4943, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8287, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1293.5595, total_cost: 667820, usercpu_time_millis: 1231.086, usercpu_time_millis_testing: 77.589, usercpu_time_millis_training: 1153.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, average_cost: 16.3457, f_measure: 0.7658, kappa: 0.0446, kb_relative_information_score: -1954.9668, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8026, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9592, scimark_benchmark: 1291.6759, total_cost: 652980, usercpu_time_millis: 2353.129, usercpu_time_millis_testing: 65.147, usercpu_time_millis_training: 2287.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, average_cost: 16.3783, f_measure: 0.7652, kappa: 0.0418, kb_relative_information_score: -1986.673, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1322.7116, total_cost: 654280, usercpu_time_millis: 3555.752, usercpu_time_millis_testing: 101.723, usercpu_time_millis_training: 3454.029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, average_cost: 16.5383, f_measure: 0.7619, kappa: 0.028, kb_relative_information_score: -2051.6439, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8098, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1313.7911, total_cost: 660670, usercpu_time_millis: 2041.447, usercpu_time_millis_testing: 68.602, usercpu_time_millis_training: 1972.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, average_cost: 16.2068, f_measure: 0.7684, kappa: 0.0556, kb_relative_information_score: -2348.7637, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1298.5947, total_cost: 647430, usercpu_time_millis: 7447.369, usercpu_time_millis_testing: 92.622, usercpu_time_millis_training: 7354.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1984.0673, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9736, scimark_benchmark: 1310.2892, total_cost: 672800, usercpu_time_millis: 762.869, usercpu_time_millis_testing: 59.729, usercpu_time_millis_training: 703.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, average_cost: 16.1558, f_measure: 0.7696, kappa: 0.0604, kb_relative_information_score: -2227.9967, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1342.6959, total_cost: 645390, usercpu_time_millis: 1657.941, usercpu_time_millis_testing: 25.692, usercpu_time_millis_training: 1632.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, average_cost: 16.1883, f_measure: 0.7689, kappa: 0.0574, kb_relative_information_score: -2473.9266, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1339.2991, total_cost: 646690, usercpu_time_millis: 5548.728, usercpu_time_millis_testing: 92.501, usercpu_time_millis_training: 5456.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, average_cost: 16.0381, f_measure: 0.7719, kappa: 0.0703, kb_relative_information_score: -3222.5131, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1313.9648, total_cost: 640690, usercpu_time_millis: 299.719, usercpu_time_millis_testing: 13.458, usercpu_time_millis_training: 286.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, average_cost: 16.574, f_measure: 0.7611, kappa: 0.0245, kb_relative_information_score: -2528.7149, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8033, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1269.5582, total_cost: 662100, usercpu_time_millis: 2006.548, usercpu_time_millis_testing: 61.465, usercpu_time_millis_training: 1945.083,

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