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Supervised Classification on credit-g

Supervised Classification on credit-g

Task 145972 Supervised Classification credit-g 82359 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7402, kappa: 0.3551, kb_relative_information_score: 174.3887, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7545, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8899, scimark_benchmark: 1370.5501, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7465, kappa: 0.3737, kb_relative_information_score: 191.1875, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8769, scimark_benchmark: 1356.9567, usercpu_time_millis: 4.994, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 4.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7594, kappa: 0.4092, kb_relative_information_score: 214.8423, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7597, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8813, scimark_benchmark: 1367.8569, usercpu_time_millis: 14.74, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 13.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7606, kappa: 0.4124, kb_relative_information_score: 211.8699, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7609, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8816, scimark_benchmark: 1364.5819, usercpu_time_millis: 1.521, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.5801, kappa: 0.0053, kb_relative_information_score: 83.9904, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6406, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9308, scimark_benchmark: 1368.0652, usercpu_time_millis: 0.529, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.747, kappa: 0.3763, kb_relative_information_score: 204.411, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7487, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8745, scimark_benchmark: 1364.7211, usercpu_time_millis: 3.293, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7567, kappa: 0.401, kb_relative_information_score: 204.9176, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8766, scimark_benchmark: 1368.0667, usercpu_time_millis: 5.369, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 4.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7427, kappa: 0.3658, kb_relative_information_score: 194.452, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.744, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8941, scimark_benchmark: 1368.3421, usercpu_time_millis: 6.09, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 5.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7478, kappa: 0.377, kb_relative_information_score: 195.6577, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.878, scimark_benchmark: 1373.4235, usercpu_time_millis: 5.876, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 5.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7313, kappa: 0.3328, kb_relative_information_score: 183.3523, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7475, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8791, scimark_benchmark: 1375.6471, usercpu_time_millis: 10.025, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 8.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7538, kappa: 0.3922, kb_relative_information_score: 204.2983, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8758, scimark_benchmark: 1373.8739, usercpu_time_millis: 10.386, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 9.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7539, kappa: 0.3916, kb_relative_information_score: 204.6374, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7595, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8724, scimark_benchmark: 1374.5772, usercpu_time_millis: 5.482, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 4.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2903, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1369.8072, usercpu_time_millis: 1.323, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7044, kappa: 0.2747, kb_relative_information_score: 127.9997, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7002, predictive_accuracy: 0.718, prior_entropy: 0.8818, recall: 0.718, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9269, scimark_benchmark: 1377.5988, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.1791, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1377.3721, usercpu_time_millis: 2.134, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7528, kappa: 0.3919, kb_relative_information_score: 211.8827, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7537, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8767, scimark_benchmark: 1378.8765, usercpu_time_millis: 3.252, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 3.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.6894, kappa: 0.2321, kb_relative_information_score: 149.3262, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8958, scimark_benchmark: 1376.599, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7562, kappa: 0.4003, kb_relative_information_score: 211.0574, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.874, scimark_benchmark: 1374.7494, usercpu_time_millis: 9.464, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 8.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7347, kappa: 0.3409, kb_relative_information_score: 176.7496, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7538, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8819, scimark_benchmark: 1374.6937, usercpu_time_millis: 5.283, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 4.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7581, kappa: 0.4033, kb_relative_information_score: 209.1853, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7617, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8709, scimark_benchmark: 1374.1798, usercpu_time_millis: 5.662, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 5.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7378, kappa: 0.3509, kb_relative_information_score: 179.2069, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7438, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8883, scimark_benchmark: 1374.6477, usercpu_time_millis: 6.079, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 5.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7107, kappa: 0.2813, kb_relative_information_score: 171.7403, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7297, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847, scimark_benchmark: 1371.1206, usercpu_time_millis: 4.371, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 3.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7321, kappa: 0.3367, kb_relative_information_score: 180.0862, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7375, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8911, scimark_benchmark: 1374.8539, usercpu_time_millis: 3.966, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 3.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3177, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1373.7156, usercpu_time_millis: 2.084, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3037, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1374.5106, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7543, kappa: 0.3969, kb_relative_information_score: 210.8415, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7541, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8759, scimark_benchmark: 1408.8875, usercpu_time_millis: 11.097, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 10.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7512, kappa: 0.3874, kb_relative_information_score: 213.4432, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7524, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.876, scimark_benchmark: 1413.1523, usercpu_time_millis: 10.024, usercpu_time_millis_testing: 1.319, usercpu_time_millis_training: 8.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7302, kappa: 0.3306, kb_relative_information_score: 172.0456, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8826, scimark_benchmark: 1394.7927, usercpu_time_millis: 4.409, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 3.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.5765, kb_relative_information_score: 67.84, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9402, scimark_benchmark: 1358.7401, usercpu_time_millis: 0.566, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7074, kappa: 0.2735, kb_relative_information_score: 147.2488, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7168, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.906, scimark_benchmark: 1360.6026, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7571, kappa: 0.4045, kb_relative_information_score: 215.9345, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7566, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8792, scimark_benchmark: 1347.8433, usercpu_time_millis: 21.426, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 20.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7499, kappa: 0.3804, kb_relative_information_score: 198.582, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7591, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8789, scimark_benchmark: 1344.2443, usercpu_time_millis: 8.836, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 7.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.6252, kappa: 0.0979, kb_relative_information_score: 111.3239, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7663, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9159, scimark_benchmark: 1347.1916, usercpu_time_millis: 2.815, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7508, kappa: 0.3861, kb_relative_information_score: 211.438, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7523, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8756, scimark_benchmark: 1355.6305, usercpu_time_millis: 11.276, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 10.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7512, kappa: 0.3868, kb_relative_information_score: 206.235, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8839, scimark_benchmark: 1347.4136, usercpu_time_millis: 13.122, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 12.041,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7544, kappa: 0.3964, kb_relative_information_score: 208.7157, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.755, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8776, scimark_benchmark: 1363.5419, usercpu_time_millis: 4.586, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 4.231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7553, kappa: 0.3983, kb_relative_information_score: 210.7235, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7561, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8748, scimark_benchmark: 1358.9519, usercpu_time_millis: 3.596, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.6199, kappa: 0.0851, kb_relative_information_score: 107.0561, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7418, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9183, scimark_benchmark: 1356.312, usercpu_time_millis: 0.572, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7402, kappa: 0.3551, kb_relative_information_score: 186.1069, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7545, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8803, scimark_benchmark: 1356.384, usercpu_time_millis: 3.126, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 2.731,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7333, kappa: 0.3377, kb_relative_information_score: 182.403, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7485, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8787, scimark_benchmark: 1359.2278, usercpu_time_millis: 4.039, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 3.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7571, kappa: 0.4045, kb_relative_information_score: 208.4343, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7566, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8816, scimark_benchmark: 1365.7472, usercpu_time_millis: 5.15, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 4.715,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2551, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1362.3443, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.6733, kappa: 0.1972, kb_relative_information_score: 133.9768, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9025, scimark_benchmark: 1366.7009, usercpu_time_millis: 1.443, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5765, kb_relative_information_score: 67.4837, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9461, scimark_benchmark: 1360.5556, usercpu_time_millis: 3.312, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 2.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7427, kappa: 0.3651, kb_relative_information_score: 196.6188, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8843, scimark_benchmark: 1360.7096, usercpu_time_millis: 10.217, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 9.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.6641, kappa: 0.1748, kb_relative_information_score: 127.3025, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7277, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9074, scimark_benchmark: 1353.5839, usercpu_time_millis: 0.54, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7347, kappa: 0.3412, kb_relative_information_score: 175.8478, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7497, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8825, scimark_benchmark: 1353.4081, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7567, kappa: 0.4005, kb_relative_information_score: 204.6096, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7593, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8727, scimark_benchmark: 1354.9953, usercpu_time_millis: 10.44, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 9.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7495, kappa: 0.3822, kb_relative_information_score: 204.3728, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8775, scimark_benchmark: 1355.4523, usercpu_time_millis: 13.511, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 12.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7444, kappa: 0.3677, kb_relative_information_score: 188.8442, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7499, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8814, scimark_benchmark: 1358.0013, usercpu_time_millis: 8.592, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 7.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.4682, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1343.1194, usercpu_time_millis: 1.981, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7611, kappa: 0.4131, kb_relative_information_score: 209.1581, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7619, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8765, scimark_benchmark: 1363.9067, usercpu_time_millis: 9.647, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 8.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7366, kappa: 0.3483, kb_relative_information_score: 176.9204, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8938, scimark_benchmark: 1355.9817, usercpu_time_millis: 4.644, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 4.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.708, kappa: 0.2746, kb_relative_information_score: 150.0065, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7214, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9034, scimark_benchmark: 1353.6115, usercpu_time_millis: 4.303, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 3.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7269, kappa: 0.3222, kb_relative_information_score: 165.3951, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7384, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8938, scimark_benchmark: 1362.3031, usercpu_time_millis: 4.52, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 4.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3057, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1368.3816, usercpu_time_millis: 0.914, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.6515, kappa: 0.15, kb_relative_information_score: 128.1708, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7417, predictive_accuracy: 0.728, prior_entropy: 0.8818, recall: 0.728, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9055, scimark_benchmark: 1359.7681, usercpu_time_millis: 4.495, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.749, kappa: 0.3822, kb_relative_information_score: 209.8996, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8811, scimark_benchmark: 1343.1871, usercpu_time_millis: 6.519, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 5.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6289, kappa: 0.1028, kb_relative_information_score: 114.4109, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.719, prior_entropy: 0.8818, recall: 0.719, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9174, scimark_benchmark: 1358.345, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.752, kappa: 0.3894, kb_relative_information_score: 201.8471, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8801, scimark_benchmark: 1355.0048, usercpu_time_millis: 7.698, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 7.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7253, kappa: 0.3182, kb_relative_information_score: 171.8864, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7355, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8902, scimark_benchmark: 1365.4765, usercpu_time_millis: 3.666, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 3.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.6787, kappa: 0.2037, kb_relative_information_score: 127.1017, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7076, predictive_accuracy: 0.728, prior_entropy: 0.8818, recall: 0.728, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.9126, scimark_benchmark: 1357.1475, usercpu_time_millis: 2.844, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.5765, kb_relative_information_score: 80.7868, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9333, scimark_benchmark: 1351.7813, usercpu_time_millis: 3.438, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7529, kappa: 0.3913, kb_relative_information_score: 211.3728, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7547, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8753, scimark_benchmark: 1363.3202, usercpu_time_millis: 6.425, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 5.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3547, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1362.2609, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.666, kappa: 0.1767, kb_relative_information_score: 121.6634, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7135, predictive_accuracy: 0.727, prior_entropy: 0.8818, recall: 0.727, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9131, scimark_benchmark: 1357.3191, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.5765, kb_relative_information_score: 75.7808, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9376, scimark_benchmark: 1362.5909, usercpu_time_millis: 1.067, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7311, kappa: 0.3339, kb_relative_information_score: 175.2654, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7376, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8855, scimark_benchmark: 1354.5548, usercpu_time_millis: 1.753, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7577, kappa: 0.4053, kb_relative_information_score: 219.8153, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7576, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8822, scimark_benchmark: 1358.6626, usercpu_time_millis: 10.717, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 10.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.5765, kb_relative_information_score: 61.9666, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9502, scimark_benchmark: 1353.5173, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2446, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1360.3686, usercpu_time_millis: 0.947, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.5765, kb_relative_information_score: 73.2143, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9417, scimark_benchmark: 1359.7031, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.757, kappa: 0.4023, kb_relative_information_score: 214.5957, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8759, scimark_benchmark: 1359.7613, usercpu_time_millis: 22.348, usercpu_time_millis_testing: 1.539, usercpu_time_millis_training: 20.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.5765, kb_relative_information_score: 51.8643, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9545, scimark_benchmark: 1362.4655, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.762,

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