OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 55846 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.6964, usercpu_time_millis: 5.474, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 4.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1277.3068, usercpu_time_millis: 5.759, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1281.6675, usercpu_time_millis: 5.03, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 4.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1283.2752, usercpu_time_millis: 4.427, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 3.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1282.4496, usercpu_time_millis: 4.893, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 4.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6487, kappa: 0.3146, kb_relative_information_score: 389.5111, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6744, predictive_accuracy: 0.6573, prior_entropy: 1, recall: 0.6573, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9424, scimark_benchmark: 1275.7085, usercpu_time_millis: 6.762, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 6.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1302.9133, usercpu_time_millis: 5.061, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 4.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1301.7273, usercpu_time_millis: 5.312, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 4.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.451, usercpu_time_millis: 6.135, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 5.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.3015, usercpu_time_millis: 5.459, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 4.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.7292, usercpu_time_millis: 5.852, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 5.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.5519, usercpu_time_millis: 5.401, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1281.4592, usercpu_time_millis: 5.146, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 4.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1279.9278, usercpu_time_millis: 5.341, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 4.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1283.1399, usercpu_time_millis: 5.009, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 4.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1269.8597, usercpu_time_millis: 4.854, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 4.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1276.1213, usercpu_time_millis: 5.058, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1313.8677, usercpu_time_millis: 4.58, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 4.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1287.9124, usercpu_time_millis: 4.841, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 4.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.5949, kappa: 0.1954, kb_relative_information_score: 160.0076, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6005, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 1269.1756, usercpu_time_millis: 5.235, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 4.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1287.5012, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 4.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1285.3175, usercpu_time_millis: 5.049, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1285.8368, usercpu_time_millis: 5.583, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 5.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1277.4701, usercpu_time_millis: 5.574, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 5.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1301.1851, usercpu_time_millis: 5.835, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 5.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6388, kappa: 0.3023, kb_relative_information_score: 348.8603, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6751, predictive_accuracy: 0.6512, prior_entropy: 1, recall: 0.6512, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9454, scimark_benchmark: 1300.4721, usercpu_time_millis: 7.539, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 6.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.5986, usercpu_time_millis: 6.055, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 5.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1301.5219, usercpu_time_millis: 6.165, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 5.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.3359, usercpu_time_millis: 5.53, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 5.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.0929, usercpu_time_millis: 6.334, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 5.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.0198, usercpu_time_millis: 6.928, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 6.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1270.962, usercpu_time_millis: 6.099, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 5.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1272.9682, usercpu_time_millis: 5.457, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 4.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1282.1613, usercpu_time_millis: 5.236, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 201.7052, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9708, scimark_benchmark: 1307.5475, usercpu_time_millis: 5.937, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 5.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1271.9118, usercpu_time_millis: 6.168, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 5.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1243.3505, usercpu_time_millis: 5.456, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 4.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1296.247, usercpu_time_millis: 5.374, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 4.827,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1301.4154, usercpu_time_millis: 5.752, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 5.206,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6912, kappa: 0.3854, kb_relative_information_score: 555.1264, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6965, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9133, scimark_benchmark: 1285.8809, usercpu_time_millis: 7.112, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 6.574,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.1331, usercpu_time_millis: 5.479, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 4.975,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 201.7052, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9708, scimark_benchmark: 1306.5787, usercpu_time_millis: 7.287, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 6.693,

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