OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 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: 1269.9662, usercpu_time_millis: 22.019, usercpu_time_millis_testing: 4.365, usercpu_time_millis_training: 17.654,
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: 1273.0244, usercpu_time_millis: 24.705, usercpu_time_millis_testing: 5.348, usercpu_time_millis_training: 19.357,
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: 1292.0507, usercpu_time_millis: 20.462, usercpu_time_millis_testing: 3.823, usercpu_time_millis_training: 16.639,
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: 1295.0773, usercpu_time_millis: 22.89, usercpu_time_millis_testing: 4.369, usercpu_time_millis_training: 18.521,
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: 1296.9781, usercpu_time_millis: 21.682, usercpu_time_millis_testing: 4.723, usercpu_time_millis_training: 16.959,
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: 1294.045, usercpu_time_millis: 21.192, usercpu_time_millis_testing: 4.472, usercpu_time_millis_training: 16.72,
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: 1297.0093, usercpu_time_millis: 19.564, usercpu_time_millis_testing: 3.816, usercpu_time_millis_training: 15.748,
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: 1299.2788, usercpu_time_millis: 19.49, usercpu_time_millis_testing: 3.905, usercpu_time_millis_training: 15.585,
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: 1292.705, usercpu_time_millis: 21.094, usercpu_time_millis_testing: 4.317, usercpu_time_millis_training: 16.777,
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: 1291.9354, usercpu_time_millis: 21.568, usercpu_time_millis_testing: 4.295, usercpu_time_millis_training: 17.273,
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: 1292.5811, usercpu_time_millis: 22.075, usercpu_time_millis_testing: 4.295, usercpu_time_millis_training: 17.78,
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: 1274.176, usercpu_time_millis: 23.811, usercpu_time_millis_testing: 3.881, usercpu_time_millis_training: 19.93,
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: 1290.9709, usercpu_time_millis: 20.153, usercpu_time_millis_testing: 3.916, usercpu_time_millis_training: 16.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.945, kappa: 0.7675, kb_relative_information_score: 1989.9765, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9445, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6382, scimark_benchmark: 1263.5169, usercpu_time_millis: 26.138, usercpu_time_millis_testing: 4.627, usercpu_time_millis_training: 21.511,
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: 1273.5312, usercpu_time_millis: 21.419, usercpu_time_millis_testing: 4.849, usercpu_time_millis_training: 16.57,
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: 1271.2245, usercpu_time_millis: 24.905, usercpu_time_millis_testing: 3.563, usercpu_time_millis_training: 21.342,
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: 1267.4818, usercpu_time_millis: 24.453, usercpu_time_millis_testing: 3.769, usercpu_time_millis_training: 20.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.9021, kappa: 0.5569, kb_relative_information_score: 1240.993, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9076, predictive_accuracy: 0.9128, prior_entropy: 0.5848, recall: 0.9128, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.8073, scimark_benchmark: 1275.8407, usercpu_time_millis: 24.912, usercpu_time_millis_testing: 4.487, usercpu_time_millis_training: 20.425,
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: 1269.8754, usercpu_time_millis: 20.375, usercpu_time_millis_testing: 4.02, usercpu_time_millis_training: 16.355,
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: 1274.7491, usercpu_time_millis: 20.097, usercpu_time_millis_testing: 4.37, usercpu_time_millis_training: 15.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.9456, kappa: 0.7697, kb_relative_information_score: 2007.9933, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9451, predictive_accuracy: 0.9466, prior_entropy: 0.5848, recall: 0.9466, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6356, scimark_benchmark: 1290.8723, usercpu_time_millis: 25.181, usercpu_time_millis_testing: 3.578, usercpu_time_millis_training: 21.603,
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: 1275.2134, usercpu_time_millis: 18.167, usercpu_time_millis_testing: 3.917, usercpu_time_millis_training: 14.25,
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: 1301.8576, usercpu_time_millis: 20.881, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 17.356,
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: 1272.1514, usercpu_time_millis: 21.91, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 17.83,
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: 1272.9843, usercpu_time_millis: 23.15, usercpu_time_millis_testing: 4.622, usercpu_time_millis_training: 18.528,
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: 1275.1113, usercpu_time_millis: 23.557, usercpu_time_millis_testing: 4.926, usercpu_time_millis_training: 18.631,
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: 1283.3497, usercpu_time_millis: 21.545, usercpu_time_millis_testing: 3.922, usercpu_time_millis_training: 17.623,
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: 1263.7119, usercpu_time_millis: 21.536, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 17.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.8324, kappa: 0.1917, kb_relative_information_score: 376.6717, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8738, predictive_accuracy: 0.875, prior_entropy: 0.5848, recall: 0.875, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9524, scimark_benchmark: 1272.1258, usercpu_time_millis: 24.477, usercpu_time_millis_testing: 4.285, usercpu_time_millis_training: 20.192,
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: 1298.7374, usercpu_time_millis: 22.225, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 18.277,
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: 1267.7471, usercpu_time_millis: 21.699, usercpu_time_millis_testing: 3.845, usercpu_time_millis_training: 17.854,
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: 1301.6532, usercpu_time_millis: 19.878, usercpu_time_millis_testing: 3.425, usercpu_time_millis_training: 16.453,
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: 1298.513, usercpu_time_millis: 24.144, usercpu_time_millis_testing: 4.944, usercpu_time_millis_training: 19.2,
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: 1270.7099, usercpu_time_millis: 20.098, usercpu_time_millis_testing: 3.737, usercpu_time_millis_training: 16.361,
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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: 1262.1047, usercpu_time_millis: 21.295, usercpu_time_millis_testing: 4.323, usercpu_time_millis_training: 16.972,
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: 1291.2154, usercpu_time_millis: 20.021, usercpu_time_millis_testing: 3.765, usercpu_time_millis_training: 16.256,
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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: 1280.275, usercpu_time_millis: 25.694, usercpu_time_millis_testing: 3.432, usercpu_time_millis_training: 22.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9508, kappa: 0.7893, kb_relative_information_score: 2133.2807, mean_absolute_error: 0.087, 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: 0.3611, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6109, scimark_benchmark: 1292.095, usercpu_time_millis: 27.181, usercpu_time_millis_testing: 4.081, usercpu_time_millis_training: 23.1,
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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: 1293.5143, usercpu_time_millis: 21.819, usercpu_time_millis_testing: 3.925, usercpu_time_millis_training: 17.894,
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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: 1259.2648, usercpu_time_millis: 22.228, usercpu_time_millis_testing: 4.543, usercpu_time_millis_training: 17.685,
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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: 1273.157, usercpu_time_millis: 22.449, usercpu_time_millis_testing: 3.873, usercpu_time_millis_training: 18.576,
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: 1291.447, usercpu_time_millis: 24.532, usercpu_time_millis_testing: 3.628, usercpu_time_millis_training: 20.904,
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: 1258.9436, usercpu_time_millis: 22.766, usercpu_time_millis_testing: 3.674, usercpu_time_millis_training: 19.092,
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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: 1290.5581, usercpu_time_millis: 22.639, usercpu_time_millis_testing: 4.694, usercpu_time_millis_training: 17.945,
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: 1286.0342, usercpu_time_millis: 19.868, usercpu_time_millis_testing: 3.925, usercpu_time_millis_training: 15.943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.9162, kappa: 0.6306, kb_relative_information_score: 1473.7861, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.917, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.264, root_relative_squared_error: 0.7609, scimark_benchmark: 1297.4902, usercpu_time_millis: 22.997, usercpu_time_millis_testing: 3.751, usercpu_time_millis_training: 19.246,
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: 1300.1185, usercpu_time_millis: 20.851, usercpu_time_millis_testing: 4.549, usercpu_time_millis_training: 16.302,
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: 1291.8318, usercpu_time_millis: 25.911, usercpu_time_millis_testing: 4.156, usercpu_time_millis_training: 21.755,
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: 1269.5413, usercpu_time_millis: 23.042, usercpu_time_millis_testing: 4.385, usercpu_time_millis_training: 18.657,
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: 1284.1804, usercpu_time_millis: 27.077, usercpu_time_millis_testing: 4.57, usercpu_time_millis_training: 22.507,
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: 1294.7604, usercpu_time_millis: 25.039, usercpu_time_millis_testing: 4.728, usercpu_time_millis_training: 20.311,
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: 1296.2447, usercpu_time_millis: 22.91, usercpu_time_millis_testing: 5.196, usercpu_time_millis_training: 17.714,
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: 1300.013, usercpu_time_millis: 21.095, usercpu_time_millis_testing: 4.425, usercpu_time_millis_training: 16.67,

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