Task
Supervised Classification on rmftsa_ctoarrivals

Supervised Classification on rmftsa_ctoarrivals

Task 3676 Supervised Classification rmftsa_ctoarrivals 841 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9545, kappa: 0.9038, kb_relative_information_score: 232.4325, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9604, recall: 0.9545, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7627, kappa: 0.5423, kb_relative_information_score: 94.3686, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8324, predictive_accuracy: 0.7614, prior_entropy: 0.9604, recall: 0.7614, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9469, kappa: 0.8873, kb_relative_information_score: 213.3695, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9545, kappa: 0.9034, kb_relative_information_score: 237.8385, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9604, recall: 0.9545, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9241, kappa: 0.839, kb_relative_information_score: 193.0856, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9241, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8506, kappa: 0.6975, kb_relative_information_score: 161.6568, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8776, predictive_accuracy: 0.8485, prior_entropy: 0.9604, recall: 0.8485, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.915, kappa: 0.8181, kb_relative_information_score: 170.8707, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.921, predictive_accuracy: 0.9167, prior_entropy: 0.9604, recall: 0.9167, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9159, kappa: 0.8209, kb_relative_information_score: 208.6841, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.917, predictive_accuracy: 0.9167, prior_entropy: 0.9604, recall: 0.9167, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9428, kappa: 0.8781, kb_relative_information_score: 198.843, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9438, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.923, kappa: 0.8353, kb_relative_information_score: 174.8464, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9275, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9468, kappa: 0.8869, kb_relative_information_score: 225.4985, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9312, kappa: 0.8535, kb_relative_information_score: 224.8989, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9325, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9239, kappa: 0.8384, kb_relative_information_score: 215.8692, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9241, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7498, kappa: 0.4924, kb_relative_information_score: 86.6634, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.7738, predictive_accuracy: 0.7462, prior_entropy: 0.9604, recall: 0.7462, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9429, kappa: 0.8786, kb_relative_information_score: 148.9323, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7477, kappa: 0.4698, kb_relative_information_score: 97.0279, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.7502, predictive_accuracy: 0.7462, prior_entropy: 0.9604, recall: 0.7462, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.923, kappa: 0.8353, kb_relative_information_score: 174.7622, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9275, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9429, kappa: 0.8786, kb_relative_information_score: 210.0546, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9351, kappa: 0.8619, kb_relative_information_score: 224.4347, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9361, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9391, kappa: 0.8707, kb_relative_information_score: 223.3861, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8838, kappa: 0.7583, kb_relative_information_score: 96.3938, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 0.9604, recall: 0.8826, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.4714, kb_relative_information_score: -0.0775, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.3812, predictive_accuracy: 0.6174, prior_entropy: 0.9604, recall: 0.6174, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9507, kappa: 0.8956, kb_relative_information_score: 215.9773, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.9604, recall: 0.9508, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9507, kappa: 0.8956, kb_relative_information_score: 215.9773, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.9604, recall: 0.9508, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7012, kappa: 0.3929, kb_relative_information_score: 84.036, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.7233, predictive_accuracy: 0.697, prior_entropy: 0.9604, recall: 0.697, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 221.1145, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.919, kappa: 0.8267, kb_relative_information_score: 170.9963, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9242, predictive_accuracy: 0.9205, prior_entropy: 0.9604, recall: 0.9205, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9391, kappa: 0.8707, kb_relative_information_score: 226.725, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.923, kappa: 0.8353, kb_relative_information_score: 174.7622, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9275, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7424, kappa: 0.4548, kb_relative_information_score: 116.5276, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.7424, predictive_accuracy: 0.7424, prior_entropy: 0.9604, recall: 0.7424, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9321, kappa: 0.8568, kb_relative_information_score: 222.3449, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9327, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9351, kappa: 0.8619, kb_relative_information_score: 227.0072, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9361, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9354, kappa: 0.8629, kb_relative_information_score: 162.572, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9355, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9351, kappa: 0.8619, kb_relative_information_score: 227.0072, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9361, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.915, kappa: 0.8181, kb_relative_information_score: 170.7963, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.921, predictive_accuracy: 0.9167, prior_entropy: 0.9604, recall: 0.9167, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 221.1145, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.923, kappa: 0.8353, kb_relative_information_score: 174.7622, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9275, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8786, kappa: 0.7425, kb_relative_information_score: 154.0077, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8784, predictive_accuracy: 0.8788, prior_entropy: 0.9604, recall: 0.8788, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9089, kappa: 0.8068, kb_relative_information_score: 194.1984, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9088, predictive_accuracy: 0.9091, prior_entropy: 0.9604, recall: 0.9091, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9317, kappa: 0.8551, kb_relative_information_score: 224.8409, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9317, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4714, kb_relative_information_score: 45.0407, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.3812, predictive_accuracy: 0.6174, prior_entropy: 0.9604, recall: 0.6174, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2726, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9057, kappa: 0.8014, kb_relative_information_score: 209.677, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9068, predictive_accuracy: 0.9053, prior_entropy: 0.9604, recall: 0.9053, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6332, scimark_benchmark: 1631.1992, usercpu_time_millis: 4031.25, usercpu_time_millis_training: 4031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8834, kappa: 0.7556, kb_relative_information_score: 196.6794, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8863, predictive_accuracy: 0.8826, prior_entropy: 0.9604, recall: 0.8826, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7051, scimark_benchmark: 1862.8608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8834, kappa: 0.7556, kb_relative_information_score: 196.6794, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8863, predictive_accuracy: 0.8826, prior_entropy: 0.9604, recall: 0.8826, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7051, scimark_benchmark: 1354.7236, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9469, kappa: 0.8873, kb_relative_information_score: 226.6115, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4248, scimark_benchmark: 983.4776, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8506, kappa: 0.6975, kb_relative_information_score: 161.6568, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8776, predictive_accuracy: 0.8485, prior_entropy: 0.9604, recall: 0.8485, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6543, scimark_benchmark: 955.1324, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9155, kappa: 0.8195, kb_relative_information_score: 178.3197, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9185, predictive_accuracy: 0.9167, prior_entropy: 0.9604, recall: 0.9167, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5374, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9076, kappa: 0.8024, kb_relative_information_score: 219.4728, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9117, predictive_accuracy: 0.9091, prior_entropy: 0.9604, recall: 0.9091, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4663, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9076, kappa: 0.8024, kb_relative_information_score: 219.4728, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9117, predictive_accuracy: 0.9091, prior_entropy: 0.9604, recall: 0.9091, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4663, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9155, kappa: 0.8195, kb_relative_information_score: 178.3197, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9185, predictive_accuracy: 0.9167, prior_entropy: 0.9604, recall: 0.9167, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5374, 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: 0.9879, f_measure: 0.9429, kappa: 0.8786, kb_relative_information_score: 216.5957, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4234, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9429, kappa: 0.8786, kb_relative_information_score: 216.5957, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4234, 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: 0.9198, f_measure: 0.9242, kappa: 0.8396, kb_relative_information_score: 220.5084, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5663, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4714, kb_relative_information_score: 45.0407, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.3812, predictive_accuracy: 0.6174, prior_entropy: 0.9604, recall: 0.6174, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.943, kappa: 0.879, kb_relative_information_score: 231.3397, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.4904, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.943, kappa: 0.879, kb_relative_information_score: 231.3397, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.4904, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9245, kappa: 0.8408, kb_relative_information_score: 210.9016, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9252, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9245, kappa: 0.8408, kb_relative_information_score: 210.9016, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9252, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs