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: 0.6224, average_cost: 16.8231, f_measure: 0.7555, kappa: 0.0017, kb_relative_information_score: -3176.2819, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1277.3602, total_cost: 672050, usercpu_time_millis: 1.349, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 16.8106, f_measure: 0.7558, kappa: 0.003, kb_relative_information_score: -3159.3354, 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: 1295.6748, total_cost: 671550, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.094,
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: 1284.1299, total_cost: 672800, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.721,
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: 0.4999, 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: 1278.3628, total_cost: 672800, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.801,
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: 1272.8372, total_cost: 672800, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2216.9697, mean_absolute_error: 0.2776, 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: 0.9912, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9934, scimark_benchmark: 1272.7362, total_cost: 672800, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2618.2992, mean_absolute_error: 0.2768, 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: 0.9881, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9918, scimark_benchmark: 1280.0275, total_cost: 672800, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.203,
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: 1286.5553, total_cost: 672800, usercpu_time_millis: 1.865, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.642,
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: 1275.2119, total_cost: 672800, usercpu_time_millis: 1.709, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2912.6974, mean_absolute_error: 0.2764, 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: 0.9866, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9913, scimark_benchmark: 1286.7167, total_cost: 672700, usercpu_time_millis: 1.539, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.4,
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: 1283.5466, total_cost: 672800, usercpu_time_millis: 1.479, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.406,
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: 1270.4723, total_cost: 672800, usercpu_time_millis: 1.747, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.605,
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: 1285.8766, total_cost: 672800, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.998,
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: 1283.37, total_cost: 672800, usercpu_time_millis: 1.934, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -767.6013, mean_absolute_error: 0.2794, 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: 0.9974, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9977, scimark_benchmark: 1275.3694, total_cost: 672800, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -9261.7898, mean_absolute_error: 0.2977, 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: 1.0626, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0297, scimark_benchmark: 1268.8037, total_cost: 672700, usercpu_time_millis: 115.228, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 115.164,
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: 1290.0589, total_cost: 672800, usercpu_time_millis: 0.795, usercpu_time_millis_testing: 0.061, 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: 1295.741, total_cost: 672800, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -3130.7397, mean_absolute_error: 0.2734, 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: 0.976, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1284.244, total_cost: 670860, usercpu_time_millis: 1.293, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3027.7942, mean_absolute_error: 0.276, 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: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1289.2687, total_cost: 672700, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.107,
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: 1286.4133, total_cost: 672800, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, average_cost: 16.7958, f_measure: 0.7562, kappa: 0.0044, kb_relative_information_score: -3139.7034, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8198, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9872, scimark_benchmark: 1277.8683, total_cost: 670960, usercpu_time_millis: 1.151, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.078,
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: 1285.7187, total_cost: 672800, usercpu_time_millis: 1.21, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.071,
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: 1276.015, total_cost: 672800, usercpu_time_millis: 1.989, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.842,
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: 1276.5277, total_cost: 672800, usercpu_time_millis: 1.347, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.219,
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: 1281.9949, total_cost: 672800, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.401,
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: 1271.8684, total_cost: 672800, usercpu_time_millis: 1.727, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3037.9796, mean_absolute_error: 0.2757, 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: 0.9841, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9903, scimark_benchmark: 1287.7804, total_cost: 672700, usercpu_time_millis: 1.977, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.861,
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: 1284.8618, total_cost: 672800, usercpu_time_millis: 1.176, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -3234.638, 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: 0.98, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1267.2182, total_cost: 672510, usercpu_time_millis: 2.659, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 2.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -1956.4888, mean_absolute_error: 0.277, 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: 0.989, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.992, scimark_benchmark: 1285.5759, total_cost: 672700, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.457,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, average_cost: 16.8231, f_measure: 0.7555, kappa: 0.0017, kb_relative_information_score: -3160.5805, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.988, scimark_benchmark: 1285.0748, total_cost: 672050, usercpu_time_millis: 2.695, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.541,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, average_cost: 16.8369, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2496.9426, mean_absolute_error: 0.2758, 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: 0.9845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9901, scimark_benchmark: 1277.9935, total_cost: 672600, usercpu_time_millis: 1.823, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.692,
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: 1283.2281, total_cost: 672800, usercpu_time_millis: 1.672, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.518,
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: 1282.1314, total_cost: 672800, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.485,
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: 1283.4526, total_cost: 672800, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.234,

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