OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1262.3773, usercpu_time_millis: 14.194, usercpu_time_millis_testing: 3.249, usercpu_time_millis_training: 10.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1276.3458, usercpu_time_millis: 15.862, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 12.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1268.4157, usercpu_time_millis: 15.062, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 11.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1268.2639, usercpu_time_millis: 14.042, usercpu_time_millis_testing: 3.184, usercpu_time_millis_training: 10.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.9121, kappa: 0.6091, kb_relative_information_score: 1410.3219, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.914, predictive_accuracy: 0.9192, prior_entropy: 0.5848, recall: 0.9192, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.7749, scimark_benchmark: 1268.2179, usercpu_time_millis: 16.169, usercpu_time_millis_testing: 3.216, usercpu_time_millis_training: 12.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9468, kappa: 0.7735, kb_relative_information_score: 2047.751, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9464, predictive_accuracy: 0.9482, prior_entropy: 0.5848, recall: 0.9482, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6282, scimark_benchmark: 1289.3912, usercpu_time_millis: 19.663, usercpu_time_millis_testing: 3.348, usercpu_time_millis_training: 16.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1266.5823, usercpu_time_millis: 15.07, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 11.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1274.9803, usercpu_time_millis: 15.163, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 11.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1289.5571, usercpu_time_millis: 15.562, usercpu_time_millis_testing: 3.266, usercpu_time_millis_training: 12.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1288.8851, usercpu_time_millis: 16.053, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 12.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9508, kappa: 0.7893, kb_relative_information_score: 2111.6043, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9509, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.6116, scimark_benchmark: 1290.0828, usercpu_time_millis: 22.934, usercpu_time_millis_testing: 3.432, usercpu_time_millis_training: 19.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1267.6266, usercpu_time_millis: 16.404, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 13.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1277.5776, usercpu_time_millis: 14.378, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 11.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1296.874, usercpu_time_millis: 13.626, usercpu_time_millis_testing: 3.289, usercpu_time_millis_training: 10.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1291.0135, usercpu_time_millis: 17.382, usercpu_time_millis_testing: 3.476, usercpu_time_millis_training: 13.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1288.8834, usercpu_time_millis: 13.902, usercpu_time_millis_testing: 3.265, usercpu_time_millis_training: 10.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1283.2443, usercpu_time_millis: 14.628, usercpu_time_millis_testing: 3.068, usercpu_time_millis_training: 11.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1290.3227, usercpu_time_millis: 14.996, usercpu_time_millis_testing: 3.219, usercpu_time_millis_training: 11.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9349, kappa: 0.7207, kb_relative_information_score: 1789.4674, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9344, predictive_accuracy: 0.9372, prior_entropy: 0.5848, recall: 0.9372, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.6875, scimark_benchmark: 1289.3241, usercpu_time_millis: 18.695, usercpu_time_millis_testing: 3.402, usercpu_time_millis_training: 15.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1265.8111, usercpu_time_millis: 13.84, usercpu_time_millis_testing: 3.13, usercpu_time_millis_training: 10.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1264.1732, usercpu_time_millis: 14.824, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 11.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1288.5616, usercpu_time_millis: 15.967, usercpu_time_millis_testing: 3.446, usercpu_time_millis_training: 12.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1263.3918, usercpu_time_millis: 13.949, usercpu_time_millis_testing: 3.241, usercpu_time_millis_training: 10.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1270.357, usercpu_time_millis: 15.203, usercpu_time_millis_testing: 3.466, usercpu_time_millis_training: 11.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1258.5737, usercpu_time_millis: 13.886, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 10.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1284.1108, usercpu_time_millis: 13.445, usercpu_time_millis_testing: 3.016, usercpu_time_millis_training: 10.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1287.5058, usercpu_time_millis: 14.096, usercpu_time_millis_testing: 3.182, usercpu_time_millis_training: 10.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1274.6793, usercpu_time_millis: 13.413, usercpu_time_millis_testing: 3.16, usercpu_time_millis_training: 10.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1273.8955, usercpu_time_millis: 13.522, usercpu_time_millis_testing: 3.137, usercpu_time_millis_training: 10.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1291.2235, usercpu_time_millis: 13.687, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 10.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1290.3203, usercpu_time_millis: 14.571, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 11.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1288.0632, usercpu_time_millis: 13.674, usercpu_time_millis_testing: 3.199, usercpu_time_millis_training: 10.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1262.9987, usercpu_time_millis: 13.995, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 10.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1261.5681, usercpu_time_millis: 14.989, usercpu_time_millis_testing: 3.311, usercpu_time_millis_training: 11.678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1292.6261, usercpu_time_millis: 15.875, usercpu_time_millis_testing: 3.353, usercpu_time_millis_training: 12.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.8935, kappa: 0.5128, kb_relative_information_score: 1107.1321, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9014, predictive_accuracy: 0.907, prior_entropy: 0.5848, recall: 0.907, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8333, scimark_benchmark: 1279.0251, usercpu_time_millis: 15.606, usercpu_time_millis_testing: 3.157, usercpu_time_millis_training: 12.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1282.1673, usercpu_time_millis: 13.832, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 10.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1270.3121, usercpu_time_millis: 13.078, usercpu_time_millis_testing: 3.011, usercpu_time_millis_training: 10.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1292.1109, usercpu_time_millis: 13.168, usercpu_time_millis_testing: 3.245, usercpu_time_millis_training: 9.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1296.2022, usercpu_time_millis: 13.128, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 10.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1280.7512, usercpu_time_millis: 13.559, usercpu_time_millis_testing: 3.235, usercpu_time_millis_training: 10.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1285.2962, usercpu_time_millis: 13.566, usercpu_time_millis_testing: 3.16, usercpu_time_millis_training: 10.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1296.1579, usercpu_time_millis: 13.489, usercpu_time_millis_testing: 3.14, usercpu_time_millis_training: 10.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.9275, kappa: 0.6856, kb_relative_information_score: 1652.2488, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9274, predictive_accuracy: 0.9311, prior_entropy: 0.5848, recall: 0.9311, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.718, scimark_benchmark: 1277.5337, usercpu_time_millis: 16.653, usercpu_time_millis_testing: 3.518, usercpu_time_millis_training: 13.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1266.6083, usercpu_time_millis: 16.135, usercpu_time_millis_testing: 3.251, usercpu_time_millis_training: 12.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1259.4029, usercpu_time_millis: 17.854, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 14.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1273.3808, usercpu_time_millis: 17.524, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 13.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1268.2606, usercpu_time_millis: 15.714, usercpu_time_millis_testing: 3.323, usercpu_time_millis_training: 12.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1285.8944, usercpu_time_millis: 18.867, usercpu_time_millis_testing: 3.48, usercpu_time_millis_training: 15.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1287.759, usercpu_time_millis: 18.602, usercpu_time_millis_testing: 3.938, usercpu_time_millis_training: 14.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1290.9842, usercpu_time_millis: 16.314, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 13.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1274.4653, usercpu_time_millis: 17.26, usercpu_time_millis_testing: 3.456, usercpu_time_millis_training: 13.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1273.2626, usercpu_time_millis: 18.153, usercpu_time_millis_testing: 3.581, usercpu_time_millis_training: 14.572,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.8047, kappa: 0.0487, kb_relative_information_score: 84.7303, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8515, predictive_accuracy: 0.8631, prior_entropy: 0.5848, recall: 0.8631, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.9908, scimark_benchmark: 1291.7903, usercpu_time_millis: 19.674, usercpu_time_millis_testing: 3.628, usercpu_time_millis_training: 16.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9494, kappa: 0.7841, kb_relative_information_score: 2094.4803, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9493, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6188, scimark_benchmark: 1289.1933, usercpu_time_millis: 20.733, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 17.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.8688, kappa: 0.3819, kb_relative_information_score: 803.0185, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.5848, recall: 0.8933, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8889, scimark_benchmark: 1263.08, usercpu_time_millis: 19.813, usercpu_time_millis_testing: 3.496, usercpu_time_millis_training: 16.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1270.1181, usercpu_time_millis: 12.681, usercpu_time_millis_testing: 3.114, usercpu_time_millis_training: 9.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1284.6631, usercpu_time_millis: 15.543, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 12.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1294.636, usercpu_time_millis: 13.557, usercpu_time_millis_testing: 3.181, usercpu_time_millis_training: 10.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1275.212, usercpu_time_millis: 14.279, usercpu_time_millis_testing: 3.106, usercpu_time_millis_training: 11.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.9416, kappa: 0.7558, kb_relative_information_score: 1913.3535, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9413, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6498, scimark_benchmark: 1288.6663, usercpu_time_millis: 21.229, usercpu_time_millis_testing: 3.468, usercpu_time_millis_training: 17.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.9361, kappa: 0.7287, kb_relative_information_score: 1818.8421, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9354, predictive_accuracy: 0.9375, prior_entropy: 0.5848, recall: 0.9375, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.6787, scimark_benchmark: 1263.2063, usercpu_time_millis: 19.906, usercpu_time_millis_testing: 3.195, usercpu_time_millis_training: 16.711,

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