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: 0.4999, 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: 1295.8735, total_cost: 672800, usercpu_time_millis: 1.666, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.463,
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: 1289.6787, total_cost: 672800, usercpu_time_millis: 2.079, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.87,
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: 1288.8004, total_cost: 672800, usercpu_time_millis: 2.29, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 2.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -612.5583, mean_absolute_error: 0.2795, 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: 0.998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.9981, scimark_benchmark: 1285.7759, total_cost: 672800, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 3.059,
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: 1282.9486, total_cost: 672800, usercpu_time_millis: 2.415, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 2.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2255.5281, mean_absolute_error: 0.2777, 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: 0.9915, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9936, scimark_benchmark: 1274.3364, total_cost: 672800, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.732,
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: 1269.2034, total_cost: 672800, usercpu_time_millis: 3.555, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 3.107,
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: -2815.0237, 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: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9905, scimark_benchmark: 1276.072, total_cost: 672700, usercpu_time_millis: 2.958, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 2.683,
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: 1259.4053, total_cost: 672800, usercpu_time_millis: 3.008, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 2.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1132.3102, mean_absolute_error: 0.2787, 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: 0.995, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1280.9203, total_cost: 672800, usercpu_time_millis: 3.506, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2596.0901, mean_absolute_error: 0.2767, 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: 0.3712, root_relative_squared_error: 0.9918, scimark_benchmark: 1275.624, total_cost: 672700, usercpu_time_millis: 2.818, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 2.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, average_cost: 16.7961, f_measure: 0.7562, kappa: 0.0043, kb_relative_information_score: -3151.6297, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8149, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9871, scimark_benchmark: 1270.8457, total_cost: 670970, usercpu_time_millis: 3.334, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 3.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2590.1463, mean_absolute_error: 0.2771, 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: 0.9891, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9923, scimark_benchmark: 1290.505, total_cost: 672800, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.965,
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: 1277.3801, total_cost: 672800, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, average_cost: 16.8226, f_measure: 0.7556, kappa: 0.0018, kb_relative_information_score: -3157.1664, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1286.6543, total_cost: 672030, usercpu_time_millis: 3.499, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 3.195,
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: 1293.0015, total_cost: 672800, usercpu_time_millis: 1.978, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.83,
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: 1285.0771, total_cost: 672800, usercpu_time_millis: 2.402, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2584.3413, mean_absolute_error: 0.2762, 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: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9907, scimark_benchmark: 1283.878, total_cost: 672700, usercpu_time_millis: 3.157, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, average_cost: 16.7886, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -3142.163, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8197, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9869, scimark_benchmark: 1272.9797, total_cost: 670670, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 3.578,
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: 1296.6132, total_cost: 672800, usercpu_time_millis: 1.367, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.294,
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: 1290.7741, total_cost: 672800, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 2.571,
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: 1273.8644, total_cost: 672800, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -519.6086, mean_absolute_error: 0.2795, 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: 0.9977, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9979, scimark_benchmark: 1288.238, total_cost: 672800, usercpu_time_millis: 3.173, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.966,
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: 1290.2644, total_cost: 672800, usercpu_time_millis: 3.585, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 3.061,
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: 1274.2394, total_cost: 672800, usercpu_time_millis: 2.865, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.506,
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: 1273.9512, total_cost: 672800, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.726,
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: 1270.5692, total_cost: 672800, usercpu_time_millis: 3.336, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.966,
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: 1266.8721, total_cost: 672800, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, average_cost: 16.8031, f_measure: 0.756, kappa: 0.0037, kb_relative_information_score: -3150.1324, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, 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: 1273.2454, total_cost: 671250, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.008,
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: 1277.4161, total_cost: 672800, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 2.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -3115.0276, 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: 0.9755, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1279.4174, total_cost: 670860, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 2.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, average_cost: 16.7808, f_measure: 0.7565, kappa: 0.0059, kb_relative_information_score: -3104.3923, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8278, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1277.8103, total_cost: 670360, usercpu_time_millis: 1.434, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.371,
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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: 1286.0065, total_cost: 672800, usercpu_time_millis: 3.11, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, average_cost: 16.7811, f_measure: 0.7565, kappa: 0.0058, kb_relative_information_score: -3123.0929, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8235, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1254.3645, total_cost: 670370, usercpu_time_millis: 2.536, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 2.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -3145.9224, mean_absolute_error: 0.2732, 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: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9871, scimark_benchmark: 1290.709, total_cost: 670860, usercpu_time_millis: 2.519, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 2.433,

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