Task
Supervised Classification on hayes-roth

Supervised Classification on hayes-roth

Task 3837 Supervised Classification hayes-roth 922 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

922 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5246, kappa: -0.0151, kb_relative_information_score: 6.847, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.5184, predictive_accuracy: 0.5379, prior_entropy: 0.9635, recall: 0.5379, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.5784, kappa: 0.1181, kb_relative_information_score: 5.1184, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.5821, predictive_accuracy: 0.5758, prior_entropy: 0.9635, recall: 0.5758, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 55.7803, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 20.4754, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.8253, kappa: 0.6268, kb_relative_information_score: 61.8986, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8467, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: -0.0666, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2531, f_measure: 0.3398, kappa: -0.4046, kb_relative_information_score: -31.0851, mean_absolute_error: 0.557, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3321, predictive_accuracy: 0.3485, prior_entropy: 0.9635, recall: 0.3485, relative_absolute_error: 1.1737, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6029, root_relative_squared_error: 1.2382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7768, kappa: 0.5246, kb_relative_information_score: 75.4678, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7779, predictive_accuracy: 0.7803, prior_entropy: 0.9635, recall: 0.7803, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.031, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.7981, kappa: 0.569, kb_relative_information_score: 46.2527, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8032, predictive_accuracy: 0.803, prior_entropy: 0.9635, recall: 0.803, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7626, kappa: 0.4956, kb_relative_information_score: 33.0947, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7624, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.9864, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3613, f_measure: 0.3844, kappa: -0.3147, kb_relative_information_score: -18.5049, mean_absolute_error: 0.5183, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3714, predictive_accuracy: 0.4015, prior_entropy: 0.9635, recall: 0.4015, relative_absolute_error: 1.0922, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: -0.0666, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6616, kappa: 0.2939, kb_relative_information_score: 41.9399, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.666, predictive_accuracy: 0.6591, prior_entropy: 0.9635, recall: 0.6591, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.7909, kappa: 0.5541, kb_relative_information_score: 68.1544, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7945, predictive_accuracy: 0.7955, prior_entropy: 0.9635, recall: 0.7955, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6032, kappa: 0.2082, kb_relative_information_score: 12.0131, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7905, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0924, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.7656, kappa: 0.5065, kb_relative_information_score: 74.0621, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7661, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2225, f_measure: 0.3303, kappa: -0.4262, kb_relative_information_score: -37.7053, mean_absolute_error: 0.5797, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.321, predictive_accuracy: 0.3409, prior_entropy: 0.9635, recall: 0.3409, relative_absolute_error: 1.2215, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 61.7159, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 61.7159, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.031, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6899, kappa: 0.3473, kb_relative_information_score: 26.9832, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6906, predictive_accuracy: 0.6894, prior_entropy: 0.9635, recall: 0.6894, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.7727, kappa: 0.5207, kb_relative_information_score: 68.753, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 22.0605, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6773, kappa: 0.33, kb_relative_information_score: 39.282, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6842, predictive_accuracy: 0.6742, prior_entropy: 0.9635, recall: 0.6742, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.031, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.6257, kappa: 0.2292, kb_relative_information_score: 26.4848, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6371, predictive_accuracy: 0.6212, prior_entropy: 0.9635, recall: 0.6212, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7861, kappa: 0.5461, kb_relative_information_score: 34.83, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7858, predictive_accuracy: 0.7879, prior_entropy: 0.9635, recall: 0.7879, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.6483, kappa: 0.2779, kb_relative_information_score: 30.6713, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6615, predictive_accuracy: 0.6439, prior_entropy: 0.9635, recall: 0.6439, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.031, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 45.74, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7936, kappa: 0.559, kb_relative_information_score: 36.4617, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.812, predictive_accuracy: 0.803, prior_entropy: 0.9635, recall: 0.803, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7735, kappa: 0.5242, kb_relative_information_score: 68.7035, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7746, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7607, kappa: 0.5135, kb_relative_information_score: 67.8183, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7809, predictive_accuracy: 0.7576, prior_entropy: 0.9635, recall: 0.7576, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7626, kappa: 0.4956, kb_relative_information_score: 65.1142, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7624, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9953, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.7262, kappa: 0.4206, kb_relative_information_score: 54.3508, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7255, predictive_accuracy: 0.7273, prior_entropy: 0.9635, recall: 0.7273, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0725, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 22.0605, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2766, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.8294, kappa: 0.6368, kb_relative_information_score: 68.4668, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8737, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7382, scimark_benchmark: 1787.9841, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.8294, kappa: 0.6368, kb_relative_information_score: 68.4668, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8737, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7382, scimark_benchmark: 1694.6779, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 22.0605, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2766, scimark_benchmark: 1376.6199, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 1657.3732, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7626, kappa: 0.4956, kb_relative_information_score: 65.1142, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7624, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9953, scimark_benchmark: 1343.8192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.8078, kappa: 0.5897, kb_relative_information_score: 62.1473, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8347, predictive_accuracy: 0.8182, prior_entropy: 0.9635, recall: 0.8182, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8762, scimark_benchmark: 1671.2677, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.7262, kappa: 0.4206, kb_relative_information_score: 54.3508, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7255, predictive_accuracy: 0.7273, prior_entropy: 0.9635, recall: 0.7273, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0725, scimark_benchmark: 1627.6526, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.753, kappa: 0.4734, kb_relative_information_score: 58.6062, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7543, predictive_accuracy: 0.7576, prior_entropy: 0.9635, recall: 0.7576, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8314, scimark_benchmark: 1481.4591, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.8078, kappa: 0.5897, kb_relative_information_score: 56.4886, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8347, predictive_accuracy: 0.8182, prior_entropy: 0.9635, recall: 0.8182, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8841, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.031, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9269, scimark_benchmark: 1354.0838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.8294, kappa: 0.6368, kb_relative_information_score: 66.7463, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8737, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7442, scimark_benchmark: 1334.287, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769, scimark_benchmark: 1238.6433, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7383, kappa: 0.4697, kb_relative_information_score: 63.7235, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7607, predictive_accuracy: 0.7348, prior_entropy: 0.9635, recall: 0.7348, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8404, scimark_benchmark: 1322.0038, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8498, kappa: 0.679, kb_relative_information_score: 71.758, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8699, predictive_accuracy: 0.8561, prior_entropy: 0.9635, recall: 0.8561, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6431, scimark_benchmark: 969.6494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.8253, kappa: 0.6268, kb_relative_information_score: 61.8986, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8467, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7757, scimark_benchmark: 1015.7149, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6629, kappa: 0.3038, kb_relative_information_score: 34.9766, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6727, predictive_accuracy: 0.6591, prior_entropy: 0.9635, recall: 0.6591, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5839, root_relative_squared_error: 1.1991, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7131, kappa: 0.3973, kb_relative_information_score: 50.0454, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7144, predictive_accuracy: 0.7121, prior_entropy: 0.9635, recall: 0.7121, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.1019, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 61.5059, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.784, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.7735, kappa: 0.5242, kb_relative_information_score: 68.3911, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7746, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7575, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5246, kappa: -0.0151, kb_relative_information_score: 6.847, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.5184, predictive_accuracy: 0.5379, prior_entropy: 0.9635, recall: 0.5379, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0264, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 61.9639, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8052, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 25.031, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9269, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6629, kappa: 0.3038, kb_relative_information_score: 34.9766, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6727, predictive_accuracy: 0.6591, prior_entropy: 0.9635, recall: 0.6591, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5839, root_relative_squared_error: 1.1991, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7131, kappa: 0.3973, kb_relative_information_score: 50.0454, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7144, predictive_accuracy: 0.7121, prior_entropy: 0.9635, recall: 0.7121, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.1019, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.8294, kappa: 0.6368, kb_relative_information_score: 66.7463, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8737, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7442, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7383, kappa: 0.4697, kb_relative_information_score: 63.7235, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7607, predictive_accuracy: 0.7348, prior_entropy: 0.9635, recall: 0.7348, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8404, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8498, kappa: 0.679, kb_relative_information_score: 71.758, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8699, predictive_accuracy: 0.8561, prior_entropy: 0.9635, recall: 0.8561, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6431, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.8253, kappa: 0.6268, kb_relative_information_score: 61.8986, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8467, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7757, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 61.7223, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7851, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7727, kappa: 0.5207, kb_relative_information_score: 68.8155, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7543, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5246, kappa: -0.0151, kb_relative_information_score: 6.847, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.5184, predictive_accuracy: 0.5379, prior_entropy: 0.9635, recall: 0.5379, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0264, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 61.7436, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8036, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.8253, kappa: 0.6268, kb_relative_information_score: 61.8986, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8467, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7757, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.8294, kappa: 0.6368, kb_relative_information_score: 66.7459, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8737, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7442, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8498, kappa: 0.679, kb_relative_information_score: 71.7581, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8699, predictive_accuracy: 0.8561, prior_entropy: 0.9635, recall: 0.8561, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6431, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8498, kappa: 0.679, kb_relative_information_score: 71.7581, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8699, predictive_accuracy: 0.8561, prior_entropy: 0.9635, recall: 0.8561, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6431, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8498, kappa: 0.679, kb_relative_information_score: 71.7581, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8699, predictive_accuracy: 0.8561, prior_entropy: 0.9635, recall: 0.8561, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6431, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 63.3855, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7627, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.8294, kappa: 0.6368, kb_relative_information_score: 66.6255, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8737, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7438, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.6629, kappa: 0.3038, kb_relative_information_score: 36.6131, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6727, predictive_accuracy: 0.6591, prior_entropy: 0.9635, recall: 0.6591, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8687, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.6483, kappa: 0.2779, kb_relative_information_score: 30.6713, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6615, predictive_accuracy: 0.6439, prior_entropy: 0.9635, recall: 0.6439, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2255, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6899, kappa: 0.3473, kb_relative_information_score: 43.5874, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6906, predictive_accuracy: 0.6894, prior_entropy: 0.9635, recall: 0.6894, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1446, scimark_benchmark: 919.0404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769, scimark_benchmark: 1088.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.8253, kappa: 0.6268, kb_relative_information_score: 61.8986, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8467, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7757, scimark_benchmark: 918.1075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3659, f_measure: 0.3648, kappa: -0.357, kb_relative_information_score: -17.0176, mean_absolute_error: 0.5098, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3431, predictive_accuracy: 0.3939, prior_entropy: 0.9635, recall: 0.3939, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.1309, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7663, kappa: 0.5101, kb_relative_information_score: 82.532, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7682, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6154, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.6261, kappa: 0.245, kb_relative_information_score: 37.9248, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.6492, predictive_accuracy: 0.6212, prior_entropy: 0.9635, recall: 0.6212, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9605, scimark_benchmark: 1840.6094,

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