Task
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: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.4361, total_cost: 672800, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.8422, total_cost: 672800, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1270.5118, total_cost: 672800, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1282.6889, total_cost: 672800, usercpu_time_millis: 1.452, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1270.5983, total_cost: 672800, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1277.126, total_cost: 672800, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1276.8746, total_cost: 672800, usercpu_time_millis: 1.663, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1275.5589, total_cost: 672800, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1291.0344, total_cost: 672800, usercpu_time_millis: 0.686, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2925.1807, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9902, scimark_benchmark: 1285.5356, total_cost: 672700, usercpu_time_millis: 1.43, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -3253.4402, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1288.2197, total_cost: 672510, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1287.6426, total_cost: 672800, usercpu_time_millis: 0.8, usercpu_time_millis_testing: -0.003, usercpu_time_millis_training: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2119.9865, mean_absolute_error: 0.2774, 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: 0.9904, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9929, scimark_benchmark: 1285.1603, total_cost: 672800, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, average_cost: 16.8106, f_measure: 0.7558, kappa: 0.003, kb_relative_information_score: -3158.5909, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8134, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1278.2711, total_cost: 671550, usercpu_time_millis: 1.376, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2910.2611, mean_absolute_error: 0.2765, 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: 0.9871, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9916, scimark_benchmark: 1276.123, total_cost: 672800, usercpu_time_millis: 1.021, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2535.7365, mean_absolute_error: 0.2769, 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: 0.9887, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9921, scimark_benchmark: 1277.4608, total_cost: 672800, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -863.5637, mean_absolute_error: 0.2793, 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: 0.9971, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.9974, scimark_benchmark: 1264.8906, total_cost: 672800, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1283.8465, total_cost: 672800, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1269.4438, total_cost: 672800, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1278.5231, total_cost: 672800, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2222.8974, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9915, scimark_benchmark: 1276.7404, total_cost: 672700, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1268.9365, total_cost: 672800, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1272.8849, total_cost: 672800, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1268.228, total_cost: 672800, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, average_cost: 16.8369, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2746.4441, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9894, scimark_benchmark: 1285.0855, total_cost: 672600, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1288.716, total_cost: 672800, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1274.3779, total_cost: 672800, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1264.8002, total_cost: 672800, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.315, total_cost: 672800, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -3137.7582, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8214, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9872, scimark_benchmark: 1274.1088, total_cost: 670860, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1271.1388, total_cost: 672800, usercpu_time_millis: 0.86, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1286.3745, total_cost: 672800, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.666,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, average_cost: 16.8276, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -3189.5456, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9883, scimark_benchmark: 1289.1634, total_cost: 672230, usercpu_time_millis: 1.079, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3121.9937, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9907, scimark_benchmark: 1289.0631, total_cost: 672700, usercpu_time_millis: 1.205, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, average_cost: 16.8369, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2962.9702, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 1279.2787, total_cost: 672600, usercpu_time_millis: 1.289, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1288.4757, total_cost: 672800, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.017,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs