OpenML
Supervised Classification on backache

Supervised Classification on backache

Task 3554 Supervised Classification backache 174 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.7991, kappa: 0.0973, kb_relative_information_score: -11.4933, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7856, predictive_accuracy: 0.8167, prior_entropy: 0.5917, recall: 0.8167, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.132, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7993, kappa: 0.1818, kb_relative_information_score: -44.1558, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8045, predictive_accuracy: 0.7944, prior_entropy: 0.5917, recall: 0.7944, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1944, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.8564, kappa: 0.3449, kb_relative_information_score: 59.1045, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8523, predictive_accuracy: 0.8722, prior_entropy: 0.5917, recall: 0.8722, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.0336, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.8032, kappa: 0.191, kb_relative_information_score: -7.4639, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8066, predictive_accuracy: 0.8, prior_entropy: 0.5917, recall: 0.8, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.2931, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.8398, kappa: 0.2744, kb_relative_information_score: 24.0458, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.832, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3593, root_relative_squared_error: 1.039, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7743, kappa: 0.1493, kb_relative_information_score: -47.9362, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7985, predictive_accuracy: 0.7556, prior_entropy: 0.5917, recall: 0.7556, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.49, root_relative_squared_error: 1.4169, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.8101, kappa: 0.226, kb_relative_information_score: -3.9839, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8151, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.2673, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.8274, kappa: 0.2186, kb_relative_information_score: -3.1985, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8175, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0839, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.791, kappa: 0.0018, kb_relative_information_score: -9.6106, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7615, predictive_accuracy: 0.8333, prior_entropy: 0.5917, recall: 0.8333, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0749, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: 1.3748, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0007, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.8099, kappa: 0.067, kb_relative_information_score: -22.5234, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8845, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.964, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: -3.6672, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0008, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.7991, kappa: 0.0973, kb_relative_information_score: -11.4933, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7856, predictive_accuracy: 0.8167, prior_entropy: 0.5917, recall: 0.8167, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.132, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.8028, kappa: 0.107, kb_relative_information_score: -13.2536, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7886, predictive_accuracy: 0.8222, prior_entropy: 0.5917, recall: 0.8222, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3816, root_relative_squared_error: 1.1033, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.8151, kappa: 0.1628, kb_relative_information_score: 6.07, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.803, predictive_accuracy: 0.8333, prior_entropy: 0.5917, recall: 0.8333, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1172, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.8251, kappa: 0.1746, kb_relative_information_score: -16.1825, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8171, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9999, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.8152, kappa: 0.1036, kb_relative_information_score: 14.4827, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.818, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.9963, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.8176, kappa: 0.1501, kb_relative_information_score: 4.2597, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8046, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3512, root_relative_squared_error: 1.0155, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.8176, kappa: 0.1501, kb_relative_information_score: -23.4215, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8046, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3629, root_relative_squared_error: 1.0493, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.7941, kappa: -0.0108, kb_relative_information_score: 43.7425, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7408, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.0989, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.8567, kappa: 0.3322, kb_relative_information_score: 64.2251, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8578, predictive_accuracy: 0.8778, prior_entropy: 0.5917, recall: 0.8778, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0108, scimark_benchmark: 958.3827, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7743, kappa: 0.1493, kb_relative_information_score: -47.9362, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7985, predictive_accuracy: 0.7556, prior_entropy: 0.5917, recall: 0.7556, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.49, root_relative_squared_error: 1.4169, scimark_benchmark: 1038.9721, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.805, kappa: 0.0684, kb_relative_information_score: 0.0486, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7863, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3566, root_relative_squared_error: 1.031, scimark_benchmark: 847.2791, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.7973, kappa: 0.0214, kb_relative_information_score: 33.5012, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7708, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.1404, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.7776, kappa: 0.0934, kb_relative_information_score: -33.0672, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7832, predictive_accuracy: 0.7722, prior_entropy: 0.5917, recall: 0.7722, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.38, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.8118, kappa: 0.1736, kb_relative_information_score: -23.9573, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8033, predictive_accuracy: 0.8222, prior_entropy: 0.5917, recall: 0.8222, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0654, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7993, kappa: 0.1818, kb_relative_information_score: -43.3314, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8045, predictive_accuracy: 0.7944, prior_entropy: 0.5917, recall: 0.7944, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.1981, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.8064, kappa: 0.1171, kb_relative_information_score: -22.0034, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7919, predictive_accuracy: 0.8278, prior_entropy: 0.5917, recall: 0.8278, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0693, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: -3.6672, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.8117, kappa: 0.1111, kb_relative_information_score: -36.2593, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7966, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3689, root_relative_squared_error: 1.0665, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7941, kappa: -0.0108, kb_relative_information_score: -24.6097, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7408, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9571, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.7968, kb_relative_information_score: 1.5554, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.998, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: 1.3748, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0007, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.8306, kappa: 0.2108, kb_relative_information_score: -26.2239, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8223, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.1079, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.8128, kappa: 0.25, kb_relative_information_score: -3.9839, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8213, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.2673, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.805, kappa: 0.0684, kb_relative_information_score: -15.9085, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7863, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.361, root_relative_squared_error: 1.0437, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.7919, kappa: 0.0789, kb_relative_information_score: -20.1585, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7804, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.1498, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.8068, kappa: 0.0546, kb_relative_information_score: 4.1245, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8145, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.9847, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.8368, kappa: 0.2159, kb_relative_information_score: -21.5499, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8498, predictive_accuracy: 0.8722, prior_entropy: 0.5917, recall: 0.8722, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.0338, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.8407, kappa: 0.2311, kb_relative_information_score: -18.9463, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8689, predictive_accuracy: 0.8778, prior_entropy: 0.5917, recall: 0.8778, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3682, root_relative_squared_error: 1.0648, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.8099, kappa: 0.067, kb_relative_information_score: 10.3691, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8845, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.9564, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.8036, kappa: 0.0429, kb_relative_information_score: -3.9837, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7906, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.347, root_relative_squared_error: 1.0033, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.8152, kappa: 0.1036, kb_relative_information_score: -13.1019, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.818, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.9759, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.7963, kappa: 0.1127, kb_relative_information_score: -2.3433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7882, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.441, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.8274, kappa: 0.2186, kb_relative_information_score: 33.5012, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8175, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.1404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.8386, kappa: 0.2381, kb_relative_information_score: 53.9838, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8376, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.7775, kappa: 0.0462, kb_relative_information_score: -22.8259, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7719, predictive_accuracy: 0.7833, prior_entropy: 0.5917, recall: 0.7833, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4655, root_relative_squared_error: 1.3459, usercpu_time_millis: 4.986, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 4.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.8038, kappa: 0.1316, kb_relative_information_score: 7.898, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7934, predictive_accuracy: 0.8167, prior_entropy: 0.5917, recall: 0.8167, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.238, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.8099, kappa: 0.067, kb_relative_information_score: 53.9838, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8845, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0558, usercpu_time_millis: 11.485, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 11.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.8222, kappa: 0.1303, kb_relative_information_score: 59.1045, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8887, predictive_accuracy: 0.8722, prior_entropy: 0.5917, recall: 0.8722, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.0336, usercpu_time_millis: 18.55, usercpu_time_millis_testing: 3.666, usercpu_time_millis_training: 14.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.764, kappa: 0.1106, kb_relative_information_score: -58.6704, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7888, predictive_accuracy: 0.7444, prior_entropy: 0.5917, recall: 0.7444, relative_absolute_error: 1.0557, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.4617, usercpu_time_millis: 48.254, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 47.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.8099, kappa: 0.067, kb_relative_information_score: 53.9838, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8845, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0558, usercpu_time_millis: 3.704, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.8267, kappa: 0.198, kb_relative_information_score: 38.6219, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8165, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.1198, usercpu_time_millis: 472.695, usercpu_time_millis_testing: 32.113, usercpu_time_millis_training: 440.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.7963, kappa: 0.1127, kb_relative_information_score: -2.3433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7882, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.441, root_relative_squared_error: 1.275, usercpu_time_millis: 5.249, usercpu_time_millis_testing: 2.15, usercpu_time_millis_training: 3.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.7941, kappa: -0.0108, kb_relative_information_score: 43.7425, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7408, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.0989, usercpu_time_millis: 4.3, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 2.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.7913, kappa: -0.021, kb_relative_information_score: 38.6219, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7402, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.1198, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.8061, kappa: 0.2164, kb_relative_information_score: -7.4639, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.813, predictive_accuracy: 0.8, prior_entropy: 0.5917, recall: 0.8, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.2931, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.7822, kappa: 0.1646, kb_relative_information_score: -38.1878, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8018, predictive_accuracy: 0.7667, prior_entropy: 0.5917, recall: 0.7667, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.483, root_relative_squared_error: 1.3967, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.8189, kappa: 0.1741, kb_relative_information_score: 28.3806, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.807, predictive_accuracy: 0.8389, prior_entropy: 0.5917, recall: 0.8389, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.1606, usercpu_time_millis: 0.577, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 0.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.7991, kappa: 0.0973, kb_relative_information_score: 7.898, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7856, predictive_accuracy: 0.8167, prior_entropy: 0.5917, recall: 0.8167, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.238, usercpu_time_millis: 5.737, usercpu_time_millis_testing: 2.432, usercpu_time_millis_training: 3.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.7919, kappa: 0.0789, kb_relative_information_score: -2.3433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7804, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.441, root_relative_squared_error: 1.275, usercpu_time_millis: 6.297, usercpu_time_millis_testing: 2.847, usercpu_time_millis_training: 3.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.8314, kappa: 0.231, kb_relative_information_score: 38.6219, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8221, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.1198, usercpu_time_millis: 13.06, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 12.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.8101, kappa: 0.226, kb_relative_information_score: -2.3433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8151, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.441, root_relative_squared_error: 1.275, usercpu_time_millis: 5.32, usercpu_time_millis_testing: 2.297, usercpu_time_millis_training: 3.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 2.781, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 1.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 13.331, usercpu_time_millis_testing: 1.349, usercpu_time_millis_training: 11.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.8036, kappa: 0.0429, kb_relative_information_score: 43.7425, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7906, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.0989, usercpu_time_millis: 53.399, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 50.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.8152, kappa: 0.1036, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.818, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 43.651, usercpu_time_millis_testing: 13.531, usercpu_time_millis_training: 30.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, usercpu_time_millis: 4.008, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 2.204,

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