OpenML
Supervised Classification on kidney

Supervised Classification on kidney

Task 3808 Supervised Classification kidney 527 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

527 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 26.1008, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8879, scimark_benchmark: 1353.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.6445, kappa: 0.3607, kb_relative_information_score: 17.6046, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7764, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9035, scimark_benchmark: 1326.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7238, kappa: 0.4466, kb_relative_information_score: 29.7425, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7242, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0033, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 31.5504, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9043, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7354, kappa: 0.4693, kb_relative_information_score: 32.0775, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.738, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.914, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.7179, kappa: 0.4388, kb_relative_information_score: 32.0783, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7336, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9885, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8148, kappa: 0.6285, kb_relative_information_score: 23.2867, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8183, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7972, scimark_benchmark: 1323.237, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7761, kappa: 0.5508, kb_relative_information_score: 22.7054, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7762, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8015, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7632, kappa: 0.5276, kb_relative_information_score: 39.3513, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7674, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.772, scimark_benchmark: 1366.5423, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.7725, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8341, scimark_benchmark: 935.5075, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7633, kappa: 0.5263, kb_relative_information_score: 25.1101, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7645, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8375, scimark_benchmark: 1331.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6971, kappa: 0.3922, kb_relative_information_score: 29.9045, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6971, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0227, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.315, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9259, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.144, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.924, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7238, kappa: 0.4481, kb_relative_information_score: 33.1278, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7262, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0381, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7238, kappa: 0.4481, kb_relative_information_score: 33.8326, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7262, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0528, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6712, kappa: 0.343, kb_relative_information_score: 8.6226, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6735, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9391, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.363, kb_relative_information_score: -0.0548, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.582, kappa: 0.2356, kb_relative_information_score: 2.6536, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7072, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9751, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 26.1008, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8879, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8148, kappa: 0.6285, kb_relative_information_score: 24.2573, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8183, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7937, scimark_benchmark: 1034.1273, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.789, kappa: 0.5766, kb_relative_information_score: 23.8648, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7897, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8003, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7238, kappa: 0.4466, kb_relative_information_score: 33.761, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7242, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8069, scimark_benchmark: 939.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.6971, kappa: 0.3972, kb_relative_information_score: 24.7212, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7029, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8334, scimark_benchmark: 1339.3974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.7802, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8327, scimark_benchmark: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7368, kappa: 0.4751, kb_relative_information_score: 25.9558, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7409, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8391, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7498, kappa: 0.4979, kb_relative_information_score: 29.6327, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8446, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8027, kappa: 0.6058, kb_relative_information_score: 44.6857, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8053, predictive_accuracy: 0.8026, prior_entropy: 0.9981, recall: 0.8026, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8235, scimark_benchmark: 1345.7589, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7895, kappa: 0.5801, kb_relative_information_score: 39.8005, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7939, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8348, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 34.0843, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8782, scimark_benchmark: 1330.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7632, kappa: 0.525, kb_relative_information_score: 30.6322, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8882, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7368, kappa: 0.4722, kb_relative_information_score: 29.7971, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8554, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6842, kappa: 0.3667, kb_relative_information_score: 25.2832, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6842, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9045, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6971, kappa: 0.3922, kb_relative_information_score: 25.5293, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6971, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8981, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7368, kappa: 0.4722, kb_relative_information_score: 35.8402, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.363, kb_relative_information_score: 3.7185, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3784, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.6316, kappa: 0.2652, kb_relative_information_score: 19.7793, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6351, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2156, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7238, kappa: 0.4481, kb_relative_information_score: 20.1373, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7262, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8894, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5397, kappa: 0.0802, kb_relative_information_score: 5.7261, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.5416, predictive_accuracy: 0.5395, prior_entropy: 0.9981, recall: 0.5395, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6786, root_relative_squared_error: 1.3591, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.737, kappa: 0.4737, kb_relative_information_score: 23.0394, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7382, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8622, scimark_benchmark: 885.0921, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5621, kappa: 0.2312, kb_relative_information_score: 19.7793, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7833, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2156, scimark_benchmark: 918.6491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7107, kappa: 0.4211, kb_relative_information_score: 21.5135, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7119, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9135, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7107, kappa: 0.4211, kb_relative_information_score: 21.5135, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7119, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9135, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7105, kappa: 0.4194, kb_relative_information_score: 26.4633, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7105, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8429, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6581, kappa: 0.3158, kb_relative_information_score: 21.9214, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6593, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9882, scimark_benchmark: 940.2481, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7755, kappa: 0.5495, kb_relative_information_score: 34.1234, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7771, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7613, scimark_benchmark: 1319.5177, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7099, kappa: 0.4178, kb_relative_information_score: 31.825, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7103, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0775, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7234, kappa: 0.4451, kb_relative_information_score: 28.2898, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7235, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8904, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6449, kappa: 0.2885, kb_relative_information_score: 22.6477, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6453, predictive_accuracy: 0.6447, prior_entropy: 0.9981, recall: 0.6447, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0749, scimark_benchmark: 1355.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7761, kappa: 0.5508, kb_relative_information_score: 41.863, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7762, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9472, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6665, kappa: 0.3748, kb_relative_information_score: 29.8174, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7786, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1018, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6449, kappa: 0.2905, kb_relative_information_score: 24.5344, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6471, predictive_accuracy: 0.6447, prior_entropy: 0.9981, recall: 0.6447, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0788, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7466, kappa: 0.4937, kb_relative_information_score: 37.8478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7564, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0014, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6975, kappa: 0.3956, kb_relative_information_score: 29.8174, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6999, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1018, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.363, kb_relative_information_score: -0.0548, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 31.5504, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9043, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7215, kappa: 0.4527, kb_relative_information_score: 30.572, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7402, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.0488, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 945.7621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8027, kappa: 0.6058, kb_relative_information_score: 42.8751, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8053, predictive_accuracy: 0.8026, prior_entropy: 0.9981, recall: 0.8026, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8832, scimark_benchmark: 936.7115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7368, kappa: 0.4751, kb_relative_information_score: 36.2703, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7409, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9652, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7234, kappa: 0.4497, kb_relative_information_score: 35.9077, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7295, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9475, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7633, kappa: 0.5263, kb_relative_information_score: 37.3435, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7645, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9385, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 33.179, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9376, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 46.0841, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7803, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.7895, kappa: 0.5801, kb_relative_information_score: 43.1883, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7939, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7692, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7632, kappa: 0.5276, kb_relative_information_score: 39.3513, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7674, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.772, scimark_benchmark: 924.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7238, kappa: 0.4466, kb_relative_information_score: 33.761, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7242, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8069, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.737, kappa: 0.4737, kb_relative_information_score: 31.4977, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7382, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8241, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.363, kb_relative_information_score: -0.0548, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.633, kappa: 0.3342, kb_relative_information_score: 21.6945, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7455, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9405, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7501, kappa: 0.4993, kb_relative_information_score: 32.8824, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8453, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7745, kappa: 0.5483, kb_relative_information_score: 40.8789, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7797, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.76, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.363, kb_relative_information_score: -0.0548, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7632, kappa: 0.525, kb_relative_information_score: 28.4257, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8272, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.363, kb_relative_information_score: 3.7185, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3784, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 31.5504, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9043, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8288, kappa: 0.6565, kb_relative_information_score: 22.8071, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8289, predictive_accuracy: 0.8289, prior_entropy: 0.9981, recall: 0.8289, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7906, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6685, kappa: 0.3357, kb_relative_information_score: 14.2367, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6718, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9064, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6932, kappa: 0.3871, kb_relative_information_score: 29.8174, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7014, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1018, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 28.6864, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9177, scimark_benchmark: 901.0726, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8027, kappa: 0.6047, kb_relative_information_score: 46.3085, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8031, predictive_accuracy: 0.8026, prior_entropy: 0.9981, recall: 0.8026, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8743, scimark_benchmark: 889.9795, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8421, kappa: 0.6833, kb_relative_information_score: 51.9011, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9981, recall: 0.8421, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7958, scimark_benchmark: 915.2795, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7764, kappa: 0.552, kb_relative_information_score: 40.4452, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7768, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.876, scimark_benchmark: 943.2817, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7895, kappa: 0.5778, kb_relative_information_score: 46.1691, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8435, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7105, kappa: 0.4194, kb_relative_information_score: 26.4633, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7105, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8429, scimark_benchmark: 923.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.363, kb_relative_information_score: 3.7185, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3784, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7368, kappa: 0.4751, kb_relative_information_score: 35.8402, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7409, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274, scimark_benchmark: 939.0833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, build_cpu_time: 0.1047, build_memory: 1396076543.3684, f_measure: 0.6975, kappa: 0.3956, kb_relative_information_score: 21.5699, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6999, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9551, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, build_cpu_time: 0.0925, build_memory: 1425327567.4737, f_measure: 0.6975, kappa: 0.3956, kb_relative_information_score: 21.5699, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6999, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9551, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, build_cpu_time: 0.0645, build_memory: 1148131653.4737, f_measure: 0.6581, kappa: 0.3158, kb_relative_information_score: 19.7958, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6593, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9652, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, build_cpu_time: 0.0396, build_memory: 719093135.2632, f_measure: 0.6449, kappa: 0.2905, kb_relative_information_score: 15.5215, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6471, predictive_accuracy: 0.6447, prior_entropy: 0.9981, recall: 0.6447, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.994, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.004, build_memory: 310592657.2632, f_measure: 0.7627, kappa: 0.5237, kb_relative_information_score: 36.4826, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8959, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, build_cpu_time: 0.0055, build_memory: 865616542.2105, f_measure: 0.7627, kappa: 0.5237, kb_relative_information_score: 36.5068, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8909, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, build_cpu_time: 0.0062, build_memory: 84467245.6842, f_measure: 0.7627, kappa: 0.5237, kb_relative_information_score: 36.5068, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8909, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, build_cpu_time: 0.014, build_memory: 92418463.4737, f_measure: 0.7627, kappa: 0.5237, kb_relative_information_score: 36.5068, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8909, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, build_cpu_time: 0.0054, build_memory: 987990454.1053, f_measure: 0.8553, kappa: 0.7101, kb_relative_information_score: 53.9087, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8557, predictive_accuracy: 0.8553, prior_entropy: 0.9981, recall: 0.8553, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7619, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, build_cpu_time: 0.0018, build_memory: 64422201.6842, f_measure: 0.8553, kappa: 0.7101, kb_relative_information_score: 53.9087, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8557, predictive_accuracy: 0.8553, prior_entropy: 0.9981, recall: 0.8553, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7619, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, build_cpu_time: 0.0013, build_memory: 1607652768, f_measure: 0.8553, kappa: 0.7101, kb_relative_information_score: 53.9087, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8557, predictive_accuracy: 0.8553, prior_entropy: 0.9981, recall: 0.8553, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7619, scimark_benchmark: 934.6076,

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