OpenML
Supervised Classification on hayes-roth

Supervised Classification on hayes-roth

Task 4542 Supervised Classification hayes-roth 217 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

217 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 1345.7919, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1330.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1341.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 1360.8502, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1335.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1341.3551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1344.4042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.649, kappa: 0.2724, kb_relative_information_score: 350.198, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6568, predictive_accuracy: 0.6455, prior_entropy: 0.9635, recall: 0.6455, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8795, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1295.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1352.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7943, kappa: 0.5653, kb_relative_information_score: 882.2257, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.794, predictive_accuracy: 0.7947, prior_entropy: 0.9635, recall: 0.7947, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5939, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.5116, kappa: 0.0642, kb_relative_information_score: 102.1544, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7708, predictive_accuracy: 0.6341, prior_entropy: 0.9635, recall: 0.6341, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9437, scimark_benchmark: 1317.1597, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1334.4761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8296, kappa: 0.6359, kb_relative_information_score: 599.1491, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8462, predictive_accuracy: 0.8364, prior_entropy: 0.9635, recall: 0.8364, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7319, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7699, kappa: 0.5125, kb_relative_information_score: 599.1696, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7694, predictive_accuracy: 0.7712, prior_entropy: 0.9635, recall: 0.7712, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8182, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5655, kappa: 0.1298, kb_relative_information_score: 102.4247, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6807, predictive_accuracy: 0.6492, prior_entropy: 0.9635, recall: 0.6492, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9451, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8232, kappa: 0.6223, kb_relative_information_score: 564.3058, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8364, predictive_accuracy: 0.8295, prior_entropy: 0.9635, recall: 0.8295, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7291, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.654, kappa: 0.281, kb_relative_information_score: 326.0867, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6605, predictive_accuracy: 0.6508, prior_entropy: 0.9635, recall: 0.6508, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.591, root_relative_squared_error: 1.2137, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.5975, kappa: 0.1566, kb_relative_information_score: 200.1618, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6003, predictive_accuracy: 0.5955, prior_entropy: 0.9635, recall: 0.5955, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9685, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8343, kappa: 0.6465, kb_relative_information_score: 694.7669, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8393, predictive_accuracy: 0.8379, prior_entropy: 0.9635, recall: 0.8379, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6495, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7587, kappa: 0.4859, kb_relative_information_score: 302.607, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7598, predictive_accuracy: 0.7629, prior_entropy: 0.9635, recall: 0.7629, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8736, scimark_benchmark: 1317.1597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.5971, kappa: 0.1406, kb_relative_information_score: 204.036, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6003, predictive_accuracy: 0.6205, prior_entropy: 0.9635, recall: 0.6205, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9435, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7665, kappa: 0.5207, kb_relative_information_score: 691.7105, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.78, predictive_accuracy: 0.7636, prior_entropy: 0.9635, recall: 0.7636, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8121, scimark_benchmark: 854.6529, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7747, kappa: 0.5283, kb_relative_information_score: 674.8212, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7771, predictive_accuracy: 0.7735, prior_entropy: 0.9635, recall: 0.7735, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9774, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8497, kappa: 0.6791, kb_relative_information_score: 913.7689, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8798, predictive_accuracy: 0.8576, prior_entropy: 0.9635, recall: 0.8576, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7751, scimark_benchmark: 1297.2338, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.519, kappa: -0.0015, kb_relative_information_score: -2.1174, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.5248, predictive_accuracy: 0.5803, prior_entropy: 0.9635, recall: 0.5803, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0128, scimark_benchmark: 1176.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.8192, kappa: 0.6137, kb_relative_information_score: 603.2628, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8324, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7787, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1320.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.5114, kappa: 0.0605, kb_relative_information_score: 101.5498, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7221, predictive_accuracy: 0.6318, prior_entropy: 0.9635, recall: 0.6318, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9441, scimark_benchmark: 1317.0962, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8095, kappa: 0.5953, kb_relative_information_score: 798.0471, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8097, predictive_accuracy: 0.8114, prior_entropy: 0.9635, recall: 0.8114, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6016, scimark_benchmark: 1329.8902, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7626, kappa: 0.4936, kb_relative_information_score: 530.0305, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7881, predictive_accuracy: 0.7765, prior_entropy: 0.9635, recall: 0.7765, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8415, scimark_benchmark: 966.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7626, kappa: 0.4936, kb_relative_information_score: 530.0305, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7881, predictive_accuracy: 0.7765, prior_entropy: 0.9635, recall: 0.7765, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8415, scimark_benchmark: 1339.944, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 245.1239, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9312, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.6179, kappa: 0.211, kb_relative_information_score: 245.1239, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6278, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9312, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7422, kappa: 0.451, kb_relative_information_score: 597.3247, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7425, predictive_accuracy: 0.7462, prior_entropy: 0.9635, recall: 0.7462, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0346, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.649, kappa: 0.2724, kb_relative_information_score: 350.5542, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6568, predictive_accuracy: 0.6455, prior_entropy: 0.9635, recall: 0.6455, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8796, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.502, kappa: -0.0387, kb_relative_information_score: -16.0013, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.4988, predictive_accuracy: 0.5636, prior_entropy: 0.9635, recall: 0.5636, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0194, scimark_benchmark: 1347.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.5424, kappa: 0.0239, kb_relative_information_score: 43.6594, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.5385, predictive_accuracy: 0.5689, prior_entropy: 0.9635, recall: 0.5689, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9921, scimark_benchmark: 1321.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1344.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7548, kappa: 0.4835, kb_relative_information_score: 609.8133, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7551, predictive_accuracy: 0.7545, prior_entropy: 0.9635, recall: 0.7545, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8198, scimark_benchmark: 1330.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, f_measure: 0.4758, kappa: -0.0756, kb_relative_information_score: -47.649, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.4617, predictive_accuracy: 0.5568, prior_entropy: 0.9635, recall: 0.5568, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0334, scimark_benchmark: 1355.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8305, kappa: 0.6389, kb_relative_information_score: 867.6608, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8732, predictive_accuracy: 0.8417, prior_entropy: 0.9635, recall: 0.8417, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8165, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1321.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8433, kappa: 0.6652, kb_relative_information_score: 838.0679, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8682, predictive_accuracy: 0.8508, prior_entropy: 0.9635, recall: 0.8508, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7505, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.5146, kappa: 0.0651, kb_relative_information_score: 102.2922, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7255, predictive_accuracy: 0.6333, prior_entropy: 0.9635, recall: 0.6333, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.944, scimark_benchmark: 1361.2664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8296, kappa: 0.6359, kb_relative_information_score: 599.1239, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8462, predictive_accuracy: 0.8364, prior_entropy: 0.9635, recall: 0.8364, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7296, scimark_benchmark: 1341.8761, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.826, kappa: 0.6281, kb_relative_information_score: 593.4271, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8409, predictive_accuracy: 0.8326, prior_entropy: 0.9635, recall: 0.8326, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7462, scimark_benchmark: 1314.5178, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7595, kappa: 0.4899, kb_relative_information_score: 350.3936, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.759, predictive_accuracy: 0.7614, prior_entropy: 0.9635, recall: 0.7614, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8313, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.6231, kappa: 0.3311, kb_relative_information_score: -40.6322, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7648, predictive_accuracy: 0.6341, prior_entropy: 0.9635, recall: 0.6341, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9935, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: -0.6665, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.5893, kappa: 0.3125, kb_relative_information_score: -27.9874, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8068, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9884, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7696, kappa: 0.5212, kb_relative_information_score: 708.5383, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7757, predictive_accuracy: 0.7674, prior_entropy: 0.9635, recall: 0.7674, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8424, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.546, kappa: 0.1101, kb_relative_information_score: 106.9709, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7254, predictive_accuracy: 0.647, prior_entropy: 0.9635, recall: 0.647, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9423, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7876, kappa: 0.5513, kb_relative_information_score: 855.531, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7873, predictive_accuracy: 0.7879, prior_entropy: 0.9635, recall: 0.7879, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5919, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8289, kappa: 0.6343, kb_relative_information_score: 596.7255, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8451, predictive_accuracy: 0.8356, prior_entropy: 0.9635, recall: 0.8356, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.735, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8253, kappa: 0.6266, kb_relative_information_score: 596.9857, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8399, predictive_accuracy: 0.8318, prior_entropy: 0.9635, recall: 0.8318, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7412, scimark_benchmark: 895.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7732, kappa: 0.5197, kb_relative_information_score: 603.1189, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7726, predictive_accuracy: 0.7742, prior_entropy: 0.9635, recall: 0.7742, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8069, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8431, kappa: 0.6651, kb_relative_information_score: 789.0472, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8501, predictive_accuracy: 0.847, prior_entropy: 0.9635, recall: 0.847, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6054, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8343, kappa: 0.646, kb_relative_information_score: 670.799, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8513, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6818, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 622.5416, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7152, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8195, kappa: 0.6143, kb_relative_information_score: 534.0376, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8317, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7676, scimark_benchmark: 1336.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7883, kappa: 0.5476, kb_relative_information_score: 433.9036, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8053, predictive_accuracy: 0.7977, prior_entropy: 0.9635, recall: 0.7977, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7987, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.295, f_measure: 0.3522, kappa: -0.3834, kb_relative_information_score: -262.4272, mean_absolute_error: 0.5424, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.3376, predictive_accuracy: 0.3705, prior_entropy: 0.9635, recall: 0.3705, relative_absolute_error: 1.1429, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2149, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4457, kappa: -0.1761, kb_relative_information_score: -34.3764, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.442, predictive_accuracy: 0.45, prior_entropy: 0.9635, recall: 0.45, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1264, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7191, kappa: 0.4043, kb_relative_information_score: 526.2862, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7182, predictive_accuracy: 0.7212, prior_entropy: 0.9635, recall: 0.7212, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0844, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 220.6053, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2766, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6618, kappa: 0.2949, kb_relative_information_score: 349.7662, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6667, predictive_accuracy: 0.6591, prior_entropy: 0.9635, recall: 0.6591, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5839, root_relative_squared_error: 1.1991, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7467, kappa: 0.4605, kb_relative_information_score: 295.1056, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7472, predictive_accuracy: 0.7508, prior_entropy: 0.9635, recall: 0.7508, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8768, scimark_benchmark: 1339.3974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.6533, kappa: 0.2797, kb_relative_information_score: 323.9341, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6599, predictive_accuracy: 0.65, prior_entropy: 0.9635, recall: 0.65, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.215, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7027, kappa: 0.3742, kb_relative_information_score: 335.901, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7033, predictive_accuracy: 0.7023, prior_entropy: 0.9635, recall: 0.7023, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8754, scimark_benchmark: 1325.942, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 1073.494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7676, kappa: 0.5187, kb_relative_information_score: 701.9039, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7756, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8495, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8089, kappa: 0.5918, kb_relative_information_score: 623.8145, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8168, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7829, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7865, kappa: 0.5439, kb_relative_information_score: 525.3913, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8039, predictive_accuracy: 0.7962, prior_entropy: 0.9635, recall: 0.7962, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8343, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7827, kappa: 0.542, kb_relative_information_score: 700.6534, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7828, predictive_accuracy: 0.7826, prior_entropy: 0.9635, recall: 0.7826, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9576, scimark_benchmark: 1310.3951,

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