OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8446, kappa: 0.6885, kb_relative_information_score: 10819.0017, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 0.9986, recall: 0.8446, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7705, scimark_benchmark: 1360.2771, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8446, kappa: 0.6885, kb_relative_information_score: 10819.0017, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 0.9986, recall: 0.8446, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7705, scimark_benchmark: 1316.535, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 840.2506, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1449.4352, usercpu_time_millis: 5750, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 4450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9202, kappa: 0.8399, kb_relative_information_score: 11112.2608, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9216, predictive_accuracy: 0.9203, prior_entropy: 0.9986, recall: 0.9203, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5073, scimark_benchmark: 1315.933, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9619, kappa: 0.9236, kb_relative_information_score: 14072.9522, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9986, recall: 0.9619, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3333, scimark_benchmark: 1349.1028, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.971, kappa: 0.9419, kb_relative_information_score: 8659.6415, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 0.9986, recall: 0.971, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5732, scimark_benchmark: 1328.8457, usercpu_time_millis: 1780, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 1311.1837, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 3374.6984, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, scimark_benchmark: 1339.4964, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8616, kappa: 0.7231, kb_relative_information_score: 11543.3615, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8625, predictive_accuracy: 0.8616, prior_entropy: 0.9986, recall: 0.8616, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7448, scimark_benchmark: 937.5996, usercpu_time_millis: 6530, usercpu_time_millis_testing: 6530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9271, kappa: 0.8539, kb_relative_information_score: 12712.2911, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9293, predictive_accuracy: 0.9273, prior_entropy: 0.9986, recall: 0.9273, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5002, scimark_benchmark: 1331.5882, usercpu_time_millis: 1360, usercpu_time_millis_testing: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 855.8522, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9256, kappa: 0.8508, kb_relative_information_score: 11079.3838, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9269, predictive_accuracy: 0.9257, prior_entropy: 0.9986, recall: 0.9257, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5103, scimark_benchmark: 1307.3764, usercpu_time_millis: 1080, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9671, kappa: 0.9342, kb_relative_information_score: 14390.2555, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3194, scimark_benchmark: 961.21, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1322.4968, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1331.2332, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9452, kappa: 0.8901, kb_relative_information_score: 12606.8412, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9457, predictive_accuracy: 0.9452, prior_entropy: 0.9986, recall: 0.9452, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4156, scimark_benchmark: 937.1527, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1331.5882, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 926.6704, usercpu_time_millis: 740, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9925, kappa: 0.9849, kb_relative_information_score: 15713.4355, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1635, scimark_benchmark: 1086.8793, usercpu_time_millis: 9080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 922.1419, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9719, kappa: 0.9438, kb_relative_information_score: 8673.7799, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 0.9986, recall: 0.972, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5716, scimark_benchmark: 1333.8751, usercpu_time_millis: 3380, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1320.9026, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 15525.1566, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.9986, recall: 0.9892, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2038, scimark_benchmark: 892.0148, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1328.941, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.943, kappa: 0.8858, kb_relative_information_score: 11967.4877, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4687, scimark_benchmark: 1357.5655, usercpu_time_millis: 71230, usercpu_time_millis_testing: 71230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 915.9324, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1342.6911, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1335.643, usercpu_time_millis: 3960, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1380.2233, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1380.2233, usercpu_time_millis: 4790, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1360.6585, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 933.1165, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1310.6554, usercpu_time_millis: 303390, usercpu_time_millis_testing: 2990, usercpu_time_millis_training: 300400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1335.6555, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 1318.6467, usercpu_time_millis: 550, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1340.9749, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1337.8124, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1342.8584, usercpu_time_millis: 5530, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1393.8432, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1340.5125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1322.5413, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1303.5632, usercpu_time_millis: 4080, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1303.5632, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1339.2472, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1312.8274, usercpu_time_millis: 5750, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 4350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1292.514, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1324.9519, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 1325.7874, usercpu_time_millis: 610, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1324.7884, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 926.6704, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1335.974, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1292.514, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1327.5842, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1327.5842, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1346.6261, usercpu_time_millis: 2950, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 915.9028, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 928.8135, usercpu_time_millis: 630, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9786, kappa: 0.9571, kb_relative_information_score: 15177.1705, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.9986, recall: 0.9786, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2792, scimark_benchmark: 946.6409, usercpu_time_millis: 7680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7660,

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