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: 0.5485, f_measure: 0.813, kappa: 0.0907, kb_relative_information_score: 177.5106, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.5848, recall: 0.8667, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.9793, scimark_benchmark: 1280.6564, usercpu_time_millis: 14.598, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 11.472,
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: 1294.2217, usercpu_time_millis: 15.014, usercpu_time_millis_testing: 3.344, usercpu_time_millis_training: 11.67,
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: 1290.181, usercpu_time_millis: 14.62, usercpu_time_millis_testing: 3.264, usercpu_time_millis_training: 11.356,
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: 1282.5791, usercpu_time_millis: 15.075, usercpu_time_millis_testing: 3.291, usercpu_time_millis_training: 11.784,
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: 1284.2276, usercpu_time_millis: 15.382, usercpu_time_millis_testing: 3.227, usercpu_time_millis_training: 12.155,
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: 1286.2807, usercpu_time_millis: 17.395, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 14.029,
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: 1272.0184, usercpu_time_millis: 14.425, usercpu_time_millis_testing: 3.032, usercpu_time_millis_training: 11.393,
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: 1285.803, usercpu_time_millis: 15.934, usercpu_time_millis_testing: 3.359, usercpu_time_millis_training: 12.575,
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: 1285.9987, usercpu_time_millis: 15.918, usercpu_time_millis_testing: 3.319, usercpu_time_millis_training: 12.599,
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: 1261.4868, usercpu_time_millis: 15.083, usercpu_time_millis_testing: 3.285, usercpu_time_millis_training: 11.798,
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: 1257.0622, usercpu_time_millis: 15.233, usercpu_time_millis_testing: 3.228, usercpu_time_millis_training: 12.005,
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: 1254.1162, usercpu_time_millis: 14.52, usercpu_time_millis_testing: 3.204, usercpu_time_millis_training: 11.316,
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: 1263.0541, usercpu_time_millis: 14.343, usercpu_time_millis_testing: 3.142, usercpu_time_millis_training: 11.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.9385, kappa: 0.7304, kb_relative_information_score: 1838.233, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9407, predictive_accuracy: 0.9424, prior_entropy: 0.5848, recall: 0.9424, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.6707, scimark_benchmark: 1260.022, usercpu_time_millis: 21.794, usercpu_time_millis_testing: 3.156, usercpu_time_millis_training: 18.638,
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: 1267.5692, usercpu_time_millis: 13.9, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 10.682,
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: 1287.2911, usercpu_time_millis: 14.75, usercpu_time_millis_testing: 3.17, usercpu_time_millis_training: 11.58,
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: 1295.9254, usercpu_time_millis: 13.501, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 10.312,
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: 1275.4956, usercpu_time_millis: 13.747, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 10.586,
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: 1288.1423, usercpu_time_millis: 13.922, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 10.704,
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: 1266.4153, usercpu_time_millis: 13.757, usercpu_time_millis_testing: 3.08, usercpu_time_millis_training: 10.677,
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: 1285.9899, usercpu_time_millis: 14.409, usercpu_time_millis_testing: 3.15, usercpu_time_millis_training: 11.259,
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: 1266.866, usercpu_time_millis: 13.878, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 10.716,
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: 1280.7669, usercpu_time_millis: 17.147, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 13.787,
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: 1269.0612, usercpu_time_millis: 14.407, usercpu_time_millis_testing: 3.211, usercpu_time_millis_training: 11.196,
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: 1277.1399, usercpu_time_millis: 13.973, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 10.798,
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: 1251.8091, usercpu_time_millis: 14.4, usercpu_time_millis_testing: 3.376, usercpu_time_millis_training: 11.024,
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: 1268.3919, usercpu_time_millis: 14.435, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 11.163,
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: 1287.1343, usercpu_time_millis: 13.808, usercpu_time_millis_testing: 3.166, usercpu_time_millis_training: 10.642,
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: 1292.2109, usercpu_time_millis: 15.352, usercpu_time_millis_testing: 3.259, usercpu_time_millis_training: 12.093,
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: 1293.1402, usercpu_time_millis: 13.358, usercpu_time_millis_testing: 3.219, usercpu_time_millis_training: 10.139,
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: 1268.4456, usercpu_time_millis: 13.766, usercpu_time_millis_testing: 3.112, usercpu_time_millis_training: 10.654,
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: 1275.0832, usercpu_time_millis: 14.784, usercpu_time_millis_testing: 3.257, usercpu_time_millis_training: 11.527,
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: 1294.9932, usercpu_time_millis: 13.733, usercpu_time_millis_testing: 3.352, usercpu_time_millis_training: 10.381,
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: 1265.5671, usercpu_time_millis: 17.257, usercpu_time_millis_testing: 3.33, usercpu_time_millis_training: 13.927,
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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: 1261.7549, usercpu_time_millis: 14.374, usercpu_time_millis_testing: 3.257, usercpu_time_millis_training: 11.117,
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: 1282.9176, usercpu_time_millis: 13.932, usercpu_time_millis_testing: 3.208, usercpu_time_millis_training: 10.724,
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: 1266.2619, usercpu_time_millis: 15.617, usercpu_time_millis_testing: 3.479, usercpu_time_millis_training: 12.138,
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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: 1278.9183, usercpu_time_millis: 15.07, usercpu_time_millis_testing: 3.302, usercpu_time_millis_training: 11.768,
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: 1300.2997, usercpu_time_millis: 13.478, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 10.206,
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: 1294.2915, usercpu_time_millis: 14.514, usercpu_time_millis_testing: 3.195, usercpu_time_millis_training: 11.319,
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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: 1256.3282, usercpu_time_millis: 17.916, usercpu_time_millis_testing: 3.382, usercpu_time_millis_training: 14.534,
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: 1263.8648, usercpu_time_millis: 17.512, usercpu_time_millis_testing: 3.16, usercpu_time_millis_training: 14.352,
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: 1294.0983, usercpu_time_millis: 14.503, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 11.265,
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: 1267.4571, usercpu_time_millis: 14.04, usercpu_time_millis_testing: 3.21, usercpu_time_millis_training: 10.83,
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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: 1292.741, usercpu_time_millis: 15.49, usercpu_time_millis_testing: 3.235, usercpu_time_millis_training: 12.255,
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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: 1264.9355, usercpu_time_millis: 15.047, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 11.522,
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: 1291.1479, usercpu_time_millis: 13.853, usercpu_time_millis_testing: 3.221, usercpu_time_millis_training: 10.632,
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: 1292.4796, usercpu_time_millis: 16.694, usercpu_time_millis_testing: 3.357, usercpu_time_millis_training: 13.337,
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: 1288.2711, usercpu_time_millis: 14.065, usercpu_time_millis_testing: 3.207, usercpu_time_millis_training: 10.858,

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