Task
Supervised Classification on analcatdata_neavote

Supervised Classification on analcatdata_neavote

Task 3729 Supervised Classification analcatdata_neavote 569 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.8963, kb_relative_information_score: -71.9558, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3894, f_measure: 0.8963, kb_relative_information_score: -29.5483, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.8546, kappa: -0.0807, kb_relative_information_score: -90.8939, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8592, predictive_accuracy: 0.85, prior_entropy: 0.3966, recall: 0.85, relative_absolute_error: 1.2783, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.3394, root_relative_squared_error: 1.3295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3548, f_measure: 0.8963, kb_relative_information_score: 2.7771, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.256, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.8963, kb_relative_information_score: -58.3036, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2578, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3548, f_measure: 0.8963, kb_relative_information_score: -155.5359, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 1.3184, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2629, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.8963, kb_relative_information_score: -55.1186, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3548, f_measure: 0.8963, kb_relative_information_score: -155.5359, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 1.3184, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2629, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.1756, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2559, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6612, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: -10.7428, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2563, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.8963, kb_relative_information_score: -53.8533, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.261, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6255, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6255, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.8759, kappa: -0.0536, kb_relative_information_score: -217.8633, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8622, predictive_accuracy: 0.89, prior_entropy: 0.3966, recall: 0.89, relative_absolute_error: 1.6772, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6612, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.8759, kappa: -0.0536, kb_relative_information_score: -200.1673, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8622, predictive_accuracy: 0.89, prior_entropy: 0.3966, recall: 0.89, relative_absolute_error: 1.5509, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.311, root_relative_squared_error: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.8759, kappa: -0.0536, kb_relative_information_score: -212.8553, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8622, predictive_accuracy: 0.89, prior_entropy: 0.3966, recall: 0.89, relative_absolute_error: 1.6033, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.3191, root_relative_squared_error: 1.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.8963, kb_relative_information_score: -22.838, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6612, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.8963, kb_relative_information_score: -178.231, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 1.3831, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.8963, kb_relative_information_score: 22.9903, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2622, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.389, f_measure: 0.8963, kb_relative_information_score: -8.1251, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2565, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.8913, kappa: -0.0178, kb_relative_information_score: -72.6583, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8642, predictive_accuracy: 0.92, prior_entropy: 0.3966, recall: 0.92, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.8862, kappa: -0.0321, kb_relative_information_score: -71.0976, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8636, predictive_accuracy: 0.91, prior_entropy: 0.3966, recall: 0.91, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.274, root_relative_squared_error: 1.0734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3848, f_measure: 0.8963, kb_relative_information_score: -57.0349, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2619, root_relative_squared_error: 1.0259, scimark_benchmark: 1633.4843, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1655.5888, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1379.6338, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1394.7661, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1467.7154, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.8963, kb_relative_information_score: -20.4152, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2563, root_relative_squared_error: 1.004, scimark_benchmark: 1908.2191, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.8963, kb_relative_information_score: -42.7501, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.0022, scimark_benchmark: 1386.8482, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.8963, kb_relative_information_score: -20.4599, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.8963, kb_relative_information_score: -68.7442, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2644, root_relative_squared_error: 1.0357, scimark_benchmark: 1280.1316, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6612, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032, scimark_benchmark: 680.8747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6612, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.8963, kb_relative_information_score: -71.4233, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.0593, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.8963, kb_relative_information_score: -28.4227, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9898, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3387, f_measure: 0.8963, kb_relative_information_score: 2.6612, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0032, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.8913, kappa: -0.0178, kb_relative_information_score: -154.4596, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8642, predictive_accuracy: 0.92, prior_entropy: 0.3966, recall: 0.92, relative_absolute_error: 1.2788, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2873, root_relative_squared_error: 1.1255, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.8963, kb_relative_information_score: -43.2257, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.0004, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.8963, kb_relative_information_score: -53.4088, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0113, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.8862, kappa: -0.0321, kb_relative_information_score: -71.5032, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8636, predictive_accuracy: 0.91, prior_entropy: 0.3966, recall: 0.91, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0726, scimark_benchmark: 1925.3565,

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