OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
Issue #Downvotes for this reason By


Metric:

834 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1345.0202, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1316.5396, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1308.6872, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1324.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1373.7859, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8581, kappa: 0.5668, kb_relative_information_score: 63.469, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8581, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8271, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1352.06, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1347.993, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1348.2476, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1297.2338, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 59.6924, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9144, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.7653, kappa: 0.2353, kb_relative_information_score: 10.8568, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7571, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.983, scimark_benchmark: 1308.3124, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8256, kappa: 0.4499, kb_relative_information_score: 59.9342, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8222, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.9466, scimark_benchmark: 892.0148, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7851, kappa: 0.2893, kb_relative_information_score: 28.9022, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7871, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8621, scimark_benchmark: 892.0148, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7287, kappa: 0.0861, kb_relative_information_score: 20.7297, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7265, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.8924, scimark_benchmark: 1345.7582, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 926.6704, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7835, kappa: 0.3007, kb_relative_information_score: 27.2891, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7773, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.0222, scimark_benchmark: 1308.3432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 1413.089, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 855.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.8433, kappa: 0.5163, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8418, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 56.9513, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.8846, scimark_benchmark: 1337.6765, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7883, kappa: 0.3394, kb_relative_information_score: 35.7409, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7843, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.0271, scimark_benchmark: 1329.8847, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.8506, kappa: 0.5134, kb_relative_information_score: 80.1725, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8573, predictive_accuracy: 0.8645, prior_entropy: 0.7418, recall: 0.8645, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9093, scimark_benchmark: 1307.3764, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.7287, kappa: 0.0861, kb_relative_information_score: 6.137, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7265, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4181, root_relative_squared_error: 1.0328, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7539, kappa: 0.1699, kb_relative_information_score: 21.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8106, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.359, root_relative_squared_error: 0.8868, scimark_benchmark: 1334.4761, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 55.8803, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9213, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8357, kappa: 0.4901, kb_relative_information_score: 50.7768, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8335, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9191, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7851, kappa: 0.2893, kb_relative_information_score: 25.7622, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7871, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.8713, scimark_benchmark: 1337.6765, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7902, kappa: 0.3038, kb_relative_information_score: 26.5079, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7968, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8699, scimark_benchmark: 1316.7714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7697, kappa: 0.2317, kb_relative_information_score: 25.33, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7752, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8784, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1144.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.828, kappa: 0.4632, kb_relative_information_score: 53.1929, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8252, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9747, scimark_benchmark: 1353.3179, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.828, kappa: 0.4632, kb_relative_information_score: 53.1929, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8252, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9747, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8499, kappa: 0.5581, kb_relative_information_score: 68.9969, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8575, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.8658, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 69.0285, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8703, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 32.9087, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.8297, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.814, kappa: 0.4355, kb_relative_information_score: 52.8609, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8151, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.9666, scimark_benchmark: 1413.089, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 57.0802, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.886, scimark_benchmark: 1310.934, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7806, kappa: 0.3305, kb_relative_information_score: 7.2333, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.9592, scimark_benchmark: 1347.3845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7101, kappa: 0.0225, kb_relative_information_score: 2.4258, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7005, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9943, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.8286, kappa: 0.4862, kb_relative_information_score: 48.7588, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8322, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9728, scimark_benchmark: 1341.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.7751, kappa: 0.2981, kb_relative_information_score: 20.274, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7707, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0605, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8502, kappa: 0.5227, kb_relative_information_score: 59.6222, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8489, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.8306, scimark_benchmark: 1326.6647, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7999, kappa: 0.3383, kb_relative_information_score: 28.1893, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8065, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8666, scimark_benchmark: 1329.4192, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.8563, kappa: 0.5566, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.855, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 55.7274, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.425, root_relative_squared_error: 1.05, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8499, kappa: 0.5581, kb_relative_information_score: -76.2398, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8575, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 1.1595, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.0482, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.6614, kappa: 0.2191, kb_relative_information_score: -147.457, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7735, predictive_accuracy: 0.6258, prior_entropy: 0.7418, recall: 0.6258, relative_absolute_error: 1.4869, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.2122, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.746, kappa: 0.1869, kb_relative_information_score: 10.1278, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7361, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0725, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8374, kappa: 0.5213, kb_relative_information_score: 65.7886, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8783, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.7999, kappa: 0.3383, kb_relative_information_score: 49.1981, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8065, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.409, root_relative_squared_error: 1.0105, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7328, kappa: 0.0992, kb_relative_information_score: 19.3099, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7423, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9008, scimark_benchmark: 932.0242, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7199, kappa: 0.0554, kb_relative_information_score: 17.2666, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7174, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9069, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7161, kappa: 0.0429, kb_relative_information_score: 18.0126, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7026, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9084, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.828, kappa: 0.4632, kb_relative_information_score: 61.2958, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8252, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9114, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8302, kappa: 0.4759, kb_relative_information_score: 48.5603, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8285, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9053, scimark_benchmark: 895.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7646, kappa: 0.243, kb_relative_information_score: 19.1504, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7561, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.002, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8202, kappa: 0.4358, kb_relative_information_score: 54.1259, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8167, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9803, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 58.6707, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9272, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 48.0793, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9402, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 47.7, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9254, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8009, kappa: 0.3627, kb_relative_information_score: 43.3207, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.796, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.922, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 48.1424, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.8736, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 39.2616, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9365, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8194, kappa: 0.4487, kb_relative_information_score: 55.7274, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8194, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.425, root_relative_squared_error: 1.05, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8545, kappa: 0.5458, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8524, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 55.3531, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.848, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.8433, kappa: 0.5163, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8418, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1330.0694, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 59.6924, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9144, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1073.494, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7569, kappa: 0.2453, kb_relative_information_score: 30.4493, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.753, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.441, root_relative_squared_error: 1.0895, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 15.0663, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0133, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.7407, kappa: 0.1423, kb_relative_information_score: 9.2971, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7288, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.433, root_relative_squared_error: 1.0698, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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