OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8618, kappa: 0.2461, kb_relative_information_score: 112.4745, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8934, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8139, scimark_benchmark: 952.1537, usercpu_time_millis: 25.493, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 23.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8225, kappa: 0.0098, kb_relative_information_score: -3.9651, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.8571, scimark_benchmark: 1082.5306, usercpu_time_millis: 32.511, usercpu_time_millis_testing: 3.455, usercpu_time_millis_training: 29.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8569, kappa: 0.2185, kb_relative_information_score: 98.2364, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8835, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8244, scimark_benchmark: 1185.5012, usercpu_time_millis: 30.224, usercpu_time_millis_testing: 2.786, usercpu_time_millis_training: 27.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8839, kappa: 0.3874, kb_relative_information_score: 270.9866, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7724, scimark_benchmark: 997.6782, usercpu_time_millis: 66.772, usercpu_time_millis_testing: 4.64, usercpu_time_millis_training: 62.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8208, kb_relative_information_score: -52.7461, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.285, root_relative_squared_error: 0.8704, scimark_benchmark: 1144.5763, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8789, kappa: 0.3553, kb_relative_information_score: 219.2386, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8913, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7806, scimark_benchmark: 1239.5162, usercpu_time_millis: 27.69, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 25.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 5.1637, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8483, scimark_benchmark: 947.3814, usercpu_time_millis: 17.052, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 15.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8732, kappa: 0.3135, kb_relative_information_score: 148.0314, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9016, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8007, scimark_benchmark: 936.1263, usercpu_time_millis: 30.657, usercpu_time_millis_testing: 2.056, usercpu_time_millis_training: 28.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.851, kappa: 0.1847, kb_relative_information_score: 143.4108, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8747, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.8268, scimark_benchmark: 874.6178, usercpu_time_millis: 47.873, usercpu_time_millis_testing: 5.231, usercpu_time_millis_training: 42.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8817, kappa: 0.3746, kb_relative_information_score: 266.4294, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8907, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.7757, scimark_benchmark: 1053.0513, usercpu_time_millis: 53.514, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 50.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8619, kappa: 0.2508, kb_relative_information_score: 147.9048, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8815, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8131, scimark_benchmark: 1247.5283, usercpu_time_millis: 46.281, usercpu_time_millis_testing: 3.953, usercpu_time_millis_training: 42.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.892, kappa: 0.4414, kb_relative_information_score: 302.1911, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8946, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.7673, scimark_benchmark: 1136.3334, usercpu_time_millis: 2, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8258, kappa: 0.0292, kb_relative_information_score: -4.7516, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8944, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.858, scimark_benchmark: 1145.8775, usercpu_time_millis: 3.961, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 3.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8515, kappa: 0.1843, kb_relative_information_score: 74.3925, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8264, scimark_benchmark: 1267.0833, usercpu_time_millis: 36.004, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 33.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8208, kb_relative_information_score: -162.6724, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.9392, scimark_benchmark: 1021.6629, usercpu_time_millis: 16, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 13.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8258, kappa: 0.0292, kb_relative_information_score: 12.3686, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8944, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8513, scimark_benchmark: 767.3578, usercpu_time_millis: 45.315, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 41.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8919, kappa: 0.4345, kb_relative_information_score: 293.626, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.7631, scimark_benchmark: 874.7111, usercpu_time_millis: 41.671, usercpu_time_millis_testing: 2.353, usercpu_time_millis_training: 39.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8634, kappa: 0.2572, kb_relative_information_score: 111.9798, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8894, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8228, scimark_benchmark: 1099.4337, usercpu_time_millis: 9.232, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 8.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8208, kb_relative_information_score: -106.5714, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8832, scimark_benchmark: 1097.4119, usercpu_time_millis: 3.314, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8401, kappa: 0.1162, kb_relative_information_score: 32.448, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8767, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8417, scimark_benchmark: 1113.4081, usercpu_time_millis: 27.898, usercpu_time_millis_testing: 2.218, usercpu_time_millis_training: 25.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8923, kappa: 0.4381, kb_relative_information_score: 311.7193, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8986, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.7556, scimark_benchmark: 1182.4563, usercpu_time_millis: 48.802, usercpu_time_millis_testing: 2.851, usercpu_time_millis_training: 45.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8801, kappa: 0.3639, kb_relative_information_score: 253.7862, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8901, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7761, scimark_benchmark: 1041.8376, usercpu_time_millis: 61.598, usercpu_time_millis_testing: 4.866, usercpu_time_millis_training: 56.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.8208, kb_relative_information_score: -3.367, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 969.9729, usercpu_time_millis: 1.556, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8845, kappa: 0.3897, kb_relative_information_score: 254.4369, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8941, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.7738, scimark_benchmark: 1207.4003, usercpu_time_millis: 66.007, usercpu_time_millis_testing: 4.017, usercpu_time_millis_training: 61.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.885, kappa: 0.3921, kb_relative_information_score: 276.0469, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8956, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7666, scimark_benchmark: 1151.1928, usercpu_time_millis: 57.756, usercpu_time_millis_testing: 3.822, usercpu_time_millis_training: 53.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.859, kappa: 0.2321, kb_relative_information_score: 114.7301, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.883, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8176, scimark_benchmark: 1218.4252, usercpu_time_millis: 5.618, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 5.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8341, kappa: 0.0806, kb_relative_information_score: 29.4569, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8669, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.8557, scimark_benchmark: 920.2304, usercpu_time_millis: 37.039, usercpu_time_millis_testing: 3.503, usercpu_time_millis_training: 33.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8605, kappa: 0.2383, kb_relative_information_score: 74.1783, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8924, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8198, scimark_benchmark: 1129.1631, usercpu_time_millis: 32.834, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 30.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8208, kb_relative_information_score: -83.3572, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.8913, scimark_benchmark: 1156.9005, usercpu_time_millis: 13.829, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 12.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8474, kappa: 0.1647, kb_relative_information_score: 94.0236, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.865, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.8421, scimark_benchmark: 1158.6651, usercpu_time_millis: 4.889, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 4.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8789, kappa: 0.3553, kb_relative_information_score: 243.4275, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8913, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7765, scimark_benchmark: 947.7377, usercpu_time_millis: 75.535, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 70.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.8208, kb_relative_information_score: -168.1252, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.9355, scimark_benchmark: 1195.0035, usercpu_time_millis: 14.153, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 12.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8579, kappa: 0.2226, kb_relative_information_score: 92.7207, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8903, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8195, scimark_benchmark: 1100.7827, usercpu_time_millis: 20.6, usercpu_time_millis_testing: 2.226, usercpu_time_millis_training: 18.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8778, kappa: 0.3486, kb_relative_information_score: 219.0814, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8903, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.7812, scimark_benchmark: 1261.7735, usercpu_time_millis: 70.586, usercpu_time_millis_testing: 4.685, usercpu_time_millis_training: 65.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8741, kappa: 0.3234, kb_relative_information_score: 153.0909, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.806, scimark_benchmark: 879.0251, usercpu_time_millis: 22.525, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 21.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8887, kappa: 0.4162, kb_relative_information_score: 314.0318, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8962, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625, scimark_benchmark: 997.4082, usercpu_time_millis: 87.824, usercpu_time_millis_testing: 6.209, usercpu_time_millis_training: 81.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.8208, kb_relative_information_score: -2.3689, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1214.8818, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8364, kappa: 0.0929, kb_relative_information_score: -3.9785, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.887, predictive_accuracy: 0.8841, prior_entropy: 0.5368, recall: 0.8841, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8514, scimark_benchmark: 1013.4708, usercpu_time_millis: 11.079, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 9.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8445, kappa: 0.1422, kb_relative_information_score: 42.0683, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8819, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.8366, scimark_benchmark: 1063.0026, usercpu_time_millis: 21.82, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 20.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8208, kb_relative_information_score: -149.5112, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.297, root_relative_squared_error: 0.9073, scimark_benchmark: 1038.1148, usercpu_time_millis: 4.091, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 3.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8904, kappa: 0.4248, kb_relative_information_score: 293.2759, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8984, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.7658, scimark_benchmark: 1137.9148, usercpu_time_millis: 42.663, usercpu_time_millis_testing: 2.933, usercpu_time_millis_training: 39.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8208, kb_relative_information_score: -74.5337, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.89, scimark_benchmark: 1175.3391, usercpu_time_millis: 29.347, usercpu_time_millis_testing: 3.013, usercpu_time_millis_training: 26.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.845, kappa: 0.1471, kb_relative_information_score: 55.9323, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8738, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.8381, scimark_benchmark: 1238.3745, usercpu_time_millis: 24.692, usercpu_time_millis_testing: 2.024, usercpu_time_millis_training: 22.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8915, kappa: 0.438, kb_relative_information_score: 341.5202, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8947, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.762, scimark_benchmark: 1054.3461, usercpu_time_millis: 40.057, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 37.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8682, kappa: 0.3123, kb_relative_information_score: 97.4178, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8662, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.8466, scimark_benchmark: 1199.0081, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8686, kappa: 0.29, kb_relative_information_score: 152.0098, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8896, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.7995, scimark_benchmark: 1270.7105, usercpu_time_millis: 7.992, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 7.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8861, kappa: 0.3984, kb_relative_information_score: 252.521, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7724, scimark_benchmark: 1222.1266, usercpu_time_millis: 14.134, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 13.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8295, kappa: 0.053, kb_relative_information_score: 25.4468, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8551, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.8497, scimark_benchmark: 1136.4777, usercpu_time_millis: 13.417, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 12.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8428, kappa: 0.1381, kb_relative_information_score: -65.2601, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.856, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.8987, scimark_benchmark: 1258.6795, usercpu_time_millis: 0.882, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8208, kb_relative_information_score: -170.4066, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.311, root_relative_squared_error: 0.9498, scimark_benchmark: 858.0486, usercpu_time_millis: 2.611, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 2.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.8208, kb_relative_information_score: -4.886, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001, scimark_benchmark: 1227.1447, usercpu_time_millis: 1.085, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8473, kappa: 0.1592, kb_relative_information_score: 26.3785, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8848, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.8389, scimark_benchmark: 1194.3788, usercpu_time_millis: 16.469, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 14.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8605, kappa: 0.2383, kb_relative_information_score: 82.9069, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8924, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8144, scimark_benchmark: 951.6619, usercpu_time_millis: 46.672, usercpu_time_millis_testing: 4.847, usercpu_time_millis_training: 41.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8208, kb_relative_information_score: -16.4522, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8609, scimark_benchmark: 919.7646, usercpu_time_millis: 7.806, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 6.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8208, kb_relative_information_score: -152.1297, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9149, scimark_benchmark: 1044.4119, usercpu_time_millis: 13.562, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 12.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8322, kappa: 0.0671, kb_relative_information_score: 11.0254, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8645, scimark_benchmark: 927.0996, usercpu_time_millis: 4.127, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 3.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8557, kappa: 0.2087, kb_relative_information_score: 51.7677, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.892, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.827, scimark_benchmark: 870.3422, usercpu_time_millis: 8.905, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 7.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8616, kappa: 0.2474, kb_relative_information_score: 125.5396, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8855, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8135, scimark_benchmark: 1049.7177, usercpu_time_millis: 15.186, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 13.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.88, kappa: 0.3599, kb_relative_information_score: 235.3127, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8947, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7779, scimark_benchmark: 992.598, usercpu_time_millis: 14.121, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 13.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8829, kappa: 0.3774, kb_relative_information_score: 246.331, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8959, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7771, scimark_benchmark: 1044.3041, usercpu_time_millis: 89.715, usercpu_time_millis_testing: 6.175, usercpu_time_millis_training: 83.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8386, kappa: 0.1074, kb_relative_information_score: 29.1736, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8746, predictive_accuracy: 0.8841, prior_entropy: 0.5368, recall: 0.8841, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8445, scimark_benchmark: 1138.1764, usercpu_time_millis: 5.268, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 4.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8416, kappa: 0.125, kb_relative_information_score: 54.2802, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8785, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8394, scimark_benchmark: 1149.5483, usercpu_time_millis: 27.413, usercpu_time_millis_testing: 2.966, usercpu_time_millis_training: 24.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8793, kappa: 0.3512, kb_relative_information_score: 173.6248, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9018, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.794, scimark_benchmark: 1156.3485, usercpu_time_millis: 50.738, usercpu_time_millis_testing: 3.875, usercpu_time_millis_training: 46.863,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8747, kappa: 0.3257, kb_relative_information_score: 159.1985, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8947, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.792, scimark_benchmark: 1165.7149, usercpu_time_millis: 12.885, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 11.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.876, kappa: 0.3373, kb_relative_information_score: 227.434, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8899, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.7889, scimark_benchmark: 1115.9002, usercpu_time_millis: 9.497, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 8.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8702, kappa: 0.3027, kb_relative_information_score: 163.0254, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8845, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8037, scimark_benchmark: 1113.0069, usercpu_time_millis: 41.543, usercpu_time_millis_testing: 2.991, usercpu_time_millis_training: 38.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8778, kappa: 0.3507, kb_relative_information_score: 223.7702, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8881, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.7859, scimark_benchmark: 921.3908, usercpu_time_millis: 9.808, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 9.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8208, kb_relative_information_score: -174.504, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9166, scimark_benchmark: 813.2076, usercpu_time_millis: 17.251, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 15.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8977, kappa: 0.4716, kb_relative_information_score: 355.929, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9016, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.7504, scimark_benchmark: 1277.0534, usercpu_time_millis: 17.622, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 16.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8644, kappa: 0.2614, kb_relative_information_score: 100.289, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8954, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8137, scimark_benchmark: 1013.4142, usercpu_time_millis: 26.172, usercpu_time_millis_testing: 2.138, usercpu_time_millis_training: 24.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8208, kb_relative_information_score: -108.2159, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.9065, scimark_benchmark: 988.153, usercpu_time_millis: 15.974, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 14.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8538, kappa: 0.1986, kb_relative_information_score: 84.2359, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8868, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8244, scimark_benchmark: 949.0941, usercpu_time_millis: 23.354, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 21.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8502, kappa: 0.176, kb_relative_information_score: -2.2839, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8874, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.8412, scimark_benchmark: 1000.3634, usercpu_time_millis: 34.064, usercpu_time_millis_testing: 3.196, usercpu_time_millis_training: 30.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8621, kappa: 0.2495, kb_relative_information_score: 153.9583, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8883, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.804, scimark_benchmark: 1006.2965, usercpu_time_millis: 57.741, usercpu_time_millis_testing: 5.546, usercpu_time_millis_training: 52.195,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8896, kappa: 0.4249, kb_relative_information_score: 334.6008, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8941, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.7593, scimark_benchmark: 1273.3736, usercpu_time_millis: 65.093, usercpu_time_millis_testing: 4.742, usercpu_time_millis_training: 60.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8208, kb_relative_information_score: -35.1074, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.8759, scimark_benchmark: 1217.6789, usercpu_time_millis: 34.469, usercpu_time_millis_testing: 4.1, usercpu_time_millis_training: 30.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8286, kappa: 0.0468, kb_relative_information_score: -10.2303, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8751, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8551, scimark_benchmark: 1161.2541, usercpu_time_millis: 36.056, usercpu_time_millis_testing: 3.77, usercpu_time_millis_training: 32.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8899, kappa: 0.4197, kb_relative_information_score: 261.9722, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9008, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7678, scimark_benchmark: 1065.0044, usercpu_time_millis: 23.075, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 21.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8636, kappa: 0.2604, kb_relative_information_score: 156.0257, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8852, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.8029, scimark_benchmark: 1112.8123, usercpu_time_millis: 26.314, usercpu_time_millis_testing: 2.439, usercpu_time_millis_training: 23.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8564, kappa: 0.2165, kb_relative_information_score: 111.2399, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8805, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8213, scimark_benchmark: 1174.6151, usercpu_time_millis: 20.487, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 18.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8756, kappa: 0.3374, kb_relative_information_score: 143.2837, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.886, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.8206, scimark_benchmark: 1208.2176, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8547, kappa: 0.2047, kb_relative_information_score: 75.4935, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8843, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.8323, scimark_benchmark: 1192.5563, usercpu_time_millis: 7.201, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 6.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.88, kappa: 0.3599, kb_relative_information_score: 206.8121, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8947, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7822, scimark_benchmark: 821.7823, usercpu_time_millis: 32.582, usercpu_time_millis_testing: 2.315, usercpu_time_millis_training: 30.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8834, kappa: 0.3798, kb_relative_information_score: 238.9923, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8975, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7784, scimark_benchmark: 875.1136, usercpu_time_millis: 65.131, usercpu_time_millis_testing: 4.673, usercpu_time_millis_training: 60.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8696, kappa: 0.3005, kb_relative_information_score: 196.4893, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8005, scimark_benchmark: 1161.2112, usercpu_time_millis: 89.821, usercpu_time_millis_testing: 8.448, usercpu_time_millis_training: 81.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8754, kappa: 0.3328, kb_relative_information_score: 219.4535, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8907, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.257, root_relative_squared_error: 0.7849, scimark_benchmark: 1156.3861, usercpu_time_millis: 49.724, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 46.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8719, kappa: 0.3119, kb_relative_information_score: 182.464, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8876, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7938, scimark_benchmark: 1179.7027, usercpu_time_millis: 35.586, usercpu_time_millis_testing: 2.715, usercpu_time_millis_training: 32.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.8208, kb_relative_information_score: -7.511, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 919.2434, usercpu_time_millis: 7.488, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 6.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.8208, kb_relative_information_score: -156.3338, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9533, scimark_benchmark: 1140.9099, usercpu_time_millis: 3.203, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 2.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8732, kappa: 0.3135, kb_relative_information_score: 143.2297, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9016, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.8038, scimark_benchmark: 1248.8784, usercpu_time_millis: 24.301, usercpu_time_millis_testing: 1.739, usercpu_time_millis_training: 22.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8936, kappa: 0.4418, kb_relative_information_score: 294.69, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9029, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7624, scimark_benchmark: 1113.2623, usercpu_time_millis: 27.412, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 25.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8426, kappa: 0.1318, kb_relative_information_score: 59.8383, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8749, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.8343, scimark_benchmark: 1080.0309, usercpu_time_millis: 32.05, usercpu_time_millis_testing: 2.994, usercpu_time_millis_training: 29.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8579, kappa: 0.2226, kb_relative_information_score: 100.1789, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8903, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8171, scimark_benchmark: 1022.9684, usercpu_time_millis: 42.592, usercpu_time_millis_testing: 3.626, usercpu_time_millis_training: 38.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: -1.1128, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.851, scimark_benchmark: 1066.2179, usercpu_time_millis: 21.057, usercpu_time_millis_testing: 1.919, usercpu_time_millis_training: 19.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8592, kappa: 0.2305, kb_relative_information_score: 109.3692, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8913, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.8179, scimark_benchmark: 973.3127, usercpu_time_millis: 33.928, usercpu_time_millis_testing: 3.165, usercpu_time_millis_training: 30.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8569, kappa: 0.2185, kb_relative_information_score: 96.3003, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8835, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8215, scimark_benchmark: 1059.4049, usercpu_time_millis: 31.808, usercpu_time_millis_testing: 2.824, usercpu_time_millis_training: 28.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8605, kappa: 0.2383, kb_relative_information_score: 73.6655, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8924, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8222, scimark_benchmark: 1279.2325, usercpu_time_millis: 15.584, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 14.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.867, kappa: 0.2766, kb_relative_information_score: 124.9281, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8972, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.8092, scimark_benchmark: 1119.0177, usercpu_time_millis: 14.449, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 13.319,

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