Task
Supervised Classification on car

Supervised Classification on car

Task 3854 Supervised Classification car 561 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1417.5103, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9557, kappa: 0.895, kb_relative_information_score: 1411.4057, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9562, predictive_accuracy: 0.9554, prior_entropy: 0.8813, recall: 0.9554, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9371, kappa: 0.8491, kb_relative_information_score: 1108.0342, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9371, predictive_accuracy: 0.9375, prior_entropy: 0.8813, recall: 0.9375, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9301, kappa: 0.8372, kb_relative_information_score: 1349.1936, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9351, predictive_accuracy: 0.9288, prior_entropy: 0.8813, recall: 0.9288, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1695.4709, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.985, kappa: 0.9643, kb_relative_information_score: 1662.5155, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 0.8813, recall: 0.985, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9415, kappa: 0.8604, kb_relative_information_score: 1437.7625, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9414, predictive_accuracy: 0.9416, prior_entropy: 0.8813, recall: 0.9416, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.5768, kb_relative_information_score: 237.5462, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9837, kappa: 0.9608, kb_relative_information_score: 939.1109, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9842, predictive_accuracy: 0.9838, prior_entropy: 0.8813, recall: 0.9838, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.717, kappa: 0.3375, kb_relative_information_score: 298.9833, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.7227, predictive_accuracy: 0.713, prior_entropy: 0.8813, recall: 0.713, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9866, kappa: 0.9681, kb_relative_information_score: 1154.0315, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.8813, recall: 0.9867, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 887.5881, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9522, kappa: 0.8865, kb_relative_information_score: 1508.7146, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.8813, recall: 0.952, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.961, kappa: 0.9078, kb_relative_information_score: 1479.2164, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9606, prior_entropy: 0.8813, recall: 0.9606, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.739, kappa: 0.354, kb_relative_information_score: 457.4094, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.8192, predictive_accuracy: 0.7824, prior_entropy: 0.8813, recall: 0.7824, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5768, kb_relative_information_score: -0.2113, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.717, kappa: 0.3375, kb_relative_information_score: 300.7675, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.7227, predictive_accuracy: 0.713, prior_entropy: 0.8813, recall: 0.713, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 948.5325, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9569, kappa: 0.8979, kb_relative_information_score: 1510.2402, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9575, predictive_accuracy: 0.9566, prior_entropy: 0.8813, recall: 0.9566, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9371, kappa: 0.8491, kb_relative_information_score: 1108.0342, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9371, predictive_accuracy: 0.9375, prior_entropy: 0.8813, recall: 0.9375, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9552, kappa: 0.894, kb_relative_information_score: 1528.1693, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 0.8813, recall: 0.9549, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 1088.7404, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.717, kappa: 0.3375, kb_relative_information_score: 460.2549, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.7227, predictive_accuracy: 0.713, prior_entropy: 0.8813, recall: 0.713, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9666, kappa: 0.9207, kb_relative_information_score: 1579.2657, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 0.8813, recall: 0.9664, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9666, kappa: 0.9207, kb_relative_information_score: 1579.2657, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 0.8813, recall: 0.9664, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.966, kappa: 0.9192, kb_relative_information_score: 1576.7109, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9662, predictive_accuracy: 0.9659, prior_entropy: 0.8813, recall: 0.9659, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.966, kappa: 0.9192, kb_relative_information_score: 1576.7109, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9662, predictive_accuracy: 0.9659, prior_entropy: 0.8813, recall: 0.9659, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9666, kappa: 0.9207, kb_relative_information_score: 1579.2657, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 0.8813, recall: 0.9664, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9666, kappa: 0.9207, kb_relative_information_score: 1579.2657, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 0.8813, recall: 0.9664, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.966, kappa: 0.9192, kb_relative_information_score: 1576.7109, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9662, predictive_accuracy: 0.9659, prior_entropy: 0.8813, recall: 0.9659, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.966, kappa: 0.9192, kb_relative_information_score: 1576.7109, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9662, predictive_accuracy: 0.9659, prior_entropy: 0.8813, recall: 0.9659, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9787, kappa: 0.9494, kb_relative_information_score: 1584.0167, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9789, predictive_accuracy: 0.9786, prior_entropy: 0.8813, recall: 0.9786, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9867, kappa: 0.9682, kb_relative_information_score: 1547.9541, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.8813, recall: 0.9867, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9919, kappa: 0.9807, kb_relative_information_score: 1691.6777, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.8813, recall: 0.9919, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 404.0489, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.195, scimark_benchmark: 1280.301, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9534, kappa: 0.8897, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9541, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1280.301, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 1461.2356, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9509, kappa: 0.8846, kb_relative_information_score: 1507.7307, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9532, predictive_accuracy: 0.9502, prior_entropy: 0.8813, recall: 0.9502, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4869, scimark_benchmark: 1461.2356, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9639, kappa: 0.9147, kb_relative_information_score: 1501.7181, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.965, predictive_accuracy: 0.9635, prior_entropy: 0.8813, recall: 0.9635, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4015, scimark_benchmark: 1862.8608, usercpu_time_millis: 6781.25, usercpu_time_millis_training: 6781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9639, kappa: 0.9147, kb_relative_information_score: 1501.7181, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.965, predictive_accuracy: 0.9635, prior_entropy: 0.8813, recall: 0.9635, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4015, scimark_benchmark: 1787.9841, usercpu_time_millis: 7218.75, usercpu_time_millis_training: 7218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9639, kappa: 0.9147, kb_relative_information_score: 1501.7181, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.965, predictive_accuracy: 0.9635, prior_entropy: 0.8813, recall: 0.9635, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4015, scimark_benchmark: 1395.1528, usercpu_time_millis: 8670, usercpu_time_millis_training: 8670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9509, kappa: 0.8846, kb_relative_information_score: 1507.7307, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9532, predictive_accuracy: 0.9502, prior_entropy: 0.8813, recall: 0.9502, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4869, scimark_benchmark: 1534.5832, usercpu_time_millis: 370, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 1384.9519, usercpu_time_millis: 330, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9572, kappa: 0.8982, kb_relative_information_score: 1532.3013, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9573, predictive_accuracy: 0.9572, prior_entropy: 0.8813, recall: 0.9572, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4452, scimark_benchmark: 1671.2677, usercpu_time_millis: 7921.875, usercpu_time_millis_training: 7921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 404.0489, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.195, scimark_benchmark: 1521.5114, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9534, kappa: 0.8897, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9541, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1629.2782, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9555, kappa: 0.8939, kb_relative_information_score: 1515.0302, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9555, predictive_accuracy: 0.9554, prior_entropy: 0.8813, recall: 0.9554, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4373, scimark_benchmark: 1665.974, usercpu_time_millis: 828.125, usercpu_time_millis_training: 828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1719.3479, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8813, recall: 1, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0117, root_relative_squared_error: 0.0255, scimark_benchmark: 1386.774, usercpu_time_millis: 5920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1270.7951, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9593, kappa: 0.904, kb_relative_information_score: 1473.1811, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9605, predictive_accuracy: 0.9589, prior_entropy: 0.8813, recall: 0.9589, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.423, scimark_benchmark: 1261.2864, usercpu_time_millis: 910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1469.2915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3944, scimark_benchmark: 1238.5034, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1411.9466, usercpu_time_millis: 230, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9476, kappa: 0.876, kb_relative_information_score: 1384.6603, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4198, scimark_benchmark: 965.1901, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9407, kappa: 0.8611, kb_relative_information_score: 1385.4253, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9439, predictive_accuracy: 0.9398, prior_entropy: 0.8813, recall: 0.9398, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4864, scimark_benchmark: 927.9913, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9518, kappa: 0.8861, kb_relative_information_score: 1512.8404, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9528, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4812, scimark_benchmark: 1618.1738, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9533, kappa: 0.8894, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.8479, kb_relative_information_score: 1415.2911, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.9358, prior_entropy: 0.8813, recall: 0.9358, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4548, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9793, kappa: 0.951, kb_relative_information_score: 1379.2482, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9799, predictive_accuracy: 0.9792, prior_entropy: 0.8813, recall: 0.9792, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3584, scimark_benchmark: 1925.3565, 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: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9518, kappa: 0.8861, kb_relative_information_score: 1512.8404, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9528, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4812, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9533, kappa: 0.8894, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9593, kappa: 0.904, kb_relative_information_score: 1473.1811, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9605, predictive_accuracy: 0.9589, prior_entropy: 0.8813, recall: 0.9589, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.423, scimark_benchmark: 1925.3565, usercpu_time_millis: 656.25, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1469.2915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3944, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9476, kappa: 0.876, kb_relative_information_score: 1384.6603, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4198, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9407, kappa: 0.8611, kb_relative_information_score: 1385.4253, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9439, predictive_accuracy: 0.9398, prior_entropy: 0.8813, recall: 0.9398, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4864, scimark_benchmark: 1892.0925, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.8479, kb_relative_information_score: 1415.2911, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.9358, prior_entropy: 0.8813, recall: 0.9358, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4548, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9793, kappa: 0.951, kb_relative_information_score: 1379.2482, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9799, predictive_accuracy: 0.9792, prior_entropy: 0.8813, recall: 0.9792, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3584, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1469.2915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3944, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9301, kappa: 0.8372, kb_relative_information_score: 1349.1936, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9351, predictive_accuracy: 0.9288, prior_entropy: 0.8813, recall: 0.9288, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5172, scimark_benchmark: 1834.908, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9587, kappa: 0.9024, kb_relative_information_score: 1472.8802, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.8813, recall: 0.9583, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4173, scimark_benchmark: 1834.908, usercpu_time_millis: 687.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9476, kappa: 0.876, kb_relative_information_score: 1384.6603, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4198, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9476, kappa: 0.876, kb_relative_information_score: 1384.6603, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4198, 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: 0.99, f_measure: 0.9476, kappa: 0.876, kb_relative_information_score: 1384.6603, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4198, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9301, kappa: 0.8372, kb_relative_information_score: 1349.1936, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9351, predictive_accuracy: 0.9288, prior_entropy: 0.8813, recall: 0.9288, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5172, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9587, kappa: 0.9024, kb_relative_information_score: 1472.8802, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.8813, recall: 0.9583, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4173, scimark_benchmark: 1788.6668, usercpu_time_millis: 359.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1469.2915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3944, 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: 0.9548, f_measure: 0.9563, kappa: 0.8967, kb_relative_information_score: 1533.2789, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.956, prior_entropy: 0.8813, recall: 0.956, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4577, 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: 0.9548, f_measure: 0.9563, kappa: 0.8967, kb_relative_information_score: 1533.2789, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.956, prior_entropy: 0.8813, recall: 0.956, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4577, scimark_benchmark: 1072.981, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9301, kappa: 0.8372, kb_relative_information_score: 1349.1936, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9351, predictive_accuracy: 0.9288, prior_entropy: 0.8813, recall: 0.9288, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5172, scimark_benchmark: 958.8528, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1159.8169, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4653, scimark_benchmark: 1447.2612, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1840.6094, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1840.6094, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1159.8169, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4653, scimark_benchmark: 1873.1108, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,

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