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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261558 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.6538, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086, scimark_benchmark: 1353.0641, usercpu_time_millis: 32.105, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 32.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.602, kappa: 0.0951, kb_relative_information_score: 77.0472, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6019, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9285, scimark_benchmark: 1335.7172, usercpu_time_millis: 52.397, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 51.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5689, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0083, scimark_benchmark: 1343.7805, usercpu_time_millis: 22.844, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 22.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1357.8687, usercpu_time_millis: 26.854, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 26.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1342.5283, usercpu_time_millis: 32.883, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 32.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 9.7075, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9828, scimark_benchmark: 1355.3951, usercpu_time_millis: 36.799, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 36.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.5213, kb_relative_information_score: -95.2145, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0379, scimark_benchmark: 1329.2587, usercpu_time_millis: 2.705, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 2.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1352.8923, usercpu_time_millis: 9.667, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: -53.4973, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0478, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0106, scimark_benchmark: 1346.478, usercpu_time_millis: 10.313, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 10.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1347.4384, usercpu_time_millis: 43.039, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 42.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.6689, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0084, scimark_benchmark: 1357.1711, usercpu_time_millis: 9.697, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 520.9627, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.2374, scimark_benchmark: 1336.5985, usercpu_time_millis: 22.68, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 22.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7073, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0087, scimark_benchmark: 1327.8386, usercpu_time_millis: 23.802, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.5213, kb_relative_information_score: -9.7953, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0017, scimark_benchmark: 1351.8907, usercpu_time_millis: 6.38, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7199, kappa: 0.3649, kb_relative_information_score: 137.0842, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7204, predictive_accuracy: 0.7304, prior_entropy: 0.9279, recall: 0.7304, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8606, scimark_benchmark: 1354.5781, usercpu_time_millis: 12.774, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 12.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5213, kb_relative_information_score: -10.6922, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1345.8676, usercpu_time_millis: 10.647, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 10.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5092, kappa: -0.0488, kb_relative_information_score: -12.001, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4262, predictive_accuracy: 0.6323, prior_entropy: 0.9279, recall: 0.6323, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0058, scimark_benchmark: 1356.0305, usercpu_time_millis: 16.062, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: 0.1102, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1353.23, usercpu_time_millis: 20.765, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 20.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.5213, kb_relative_information_score: -17.3659, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0011, scimark_benchmark: 1333.5241, usercpu_time_millis: 37.525, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 37.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1341.3057, usercpu_time_millis: 5.065, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: -13.1202, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4242, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0073, scimark_benchmark: 1344.4775, usercpu_time_millis: 17.124, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 17.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.3728, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0079, scimark_benchmark: 1325.9285, usercpu_time_millis: 31.335, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 31.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5213, kb_relative_information_score: -9.0524, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1330.2803, usercpu_time_millis: 9.532, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5075, kappa: -0.0551, kb_relative_information_score: -12.2296, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4254, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0063, scimark_benchmark: 1361.1911, usercpu_time_millis: 28.462, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 28.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1351.0655, usercpu_time_millis: 34.749, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 34.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -49.5513, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.009, scimark_benchmark: 1330.6372, usercpu_time_millis: 26.352, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 26.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.611, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0085, scimark_benchmark: 1343.7372, usercpu_time_millis: 8.985, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.0967, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072, scimark_benchmark: 1335.1711, usercpu_time_millis: 15.108, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 15.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: -13.3722, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4242, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0075, scimark_benchmark: 1348.3624, usercpu_time_millis: 13.487, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 13.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5126, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0078, scimark_benchmark: 1350.6773, usercpu_time_millis: 28.633, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 28.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1346.2364, usercpu_time_millis: 10.646, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 10.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5213, kb_relative_information_score: -44.0356, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0387, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0069, scimark_benchmark: 1334.4098, usercpu_time_millis: 26.95, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 26.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -11.1592, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0035, scimark_benchmark: 1366.2777, usercpu_time_millis: 5.919, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.908,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 543.4685, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2042, scimark_benchmark: 1330.5878, usercpu_time_millis: 48.431, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 47.769,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -12.8256, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0072, scimark_benchmark: 1356.7733, usercpu_time_millis: 31.303, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 31.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6023, kappa: 0.1099, kb_relative_information_score: 83.5661, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6321, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9041, scimark_benchmark: 1356.2616, usercpu_time_millis: 34.233, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 33.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9024, kappa: 0.7795, kb_relative_information_score: 266.1559, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9088, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6847, scimark_benchmark: 1355.0902, usercpu_time_millis: 102.223, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 101.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 489.8946, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3092, scimark_benchmark: 1333.847, usercpu_time_millis: 60.745, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 59.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -12.356, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0059, scimark_benchmark: 1337.6319, usercpu_time_millis: 7.319, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 7.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5213, kb_relative_information_score: -0.3519, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1357.2546, usercpu_time_millis: 18.157, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 18.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1226, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1351.7207, usercpu_time_millis: 23.563, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 23.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9682, kappa: 0.9289, kb_relative_information_score: 398.7776, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9687, predictive_accuracy: 0.9684, prior_entropy: 0.9279, recall: 0.9684, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4748, scimark_benchmark: 1343.4701, usercpu_time_millis: 77.729, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 76.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5141, kappa: -0.0295, kb_relative_information_score: -12.8003, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4285, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0049, scimark_benchmark: 1341.7049, usercpu_time_millis: 17.711, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 17.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1226, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1347.3385, usercpu_time_millis: 31.718, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 31.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1331.4179, usercpu_time_millis: 11.174, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7024, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0087, scimark_benchmark: 1361.0621, usercpu_time_millis: 6.098, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 6.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1362.4586, usercpu_time_millis: 11.781, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.5213, kb_relative_information_score: -10.9579, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1356.3459, usercpu_time_millis: 24.307, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 24.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5142, kappa: -0.0822, kb_relative_information_score: 52.8355, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4821, predictive_accuracy: 0.5973, prior_entropy: 0.9279, recall: 0.5973, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9444, scimark_benchmark: 1345.5324, usercpu_time_millis: 29.23, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 28.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.5213, kb_relative_information_score: -7.0472, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1353.7773, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: -13.1705, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4242, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0072, scimark_benchmark: 1345.3437, usercpu_time_millis: 25.917, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 25.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.5213, kb_relative_information_score: -31.4633, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0036, scimark_benchmark: 1357.2248, usercpu_time_millis: 38.165, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 37.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5026, kappa: -0.0739, kb_relative_information_score: -13.6574, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.423, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086, scimark_benchmark: 1328.4843, usercpu_time_millis: 27.978, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5213, kb_relative_information_score: -7.7417, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1361.6335, usercpu_time_millis: 0.826, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5213, kb_relative_information_score: -1.4692, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1346.1165, usercpu_time_millis: 32.469, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 32.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9246, kappa: 0.8317, kb_relative_information_score: 309.7085, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9248, predictive_accuracy: 0.9251, prior_entropy: 0.9279, recall: 0.9251, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6238, scimark_benchmark: 1333.4317, usercpu_time_millis: 18.022, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 17.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.5213, kb_relative_information_score: -5.8788, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1349.9989, usercpu_time_millis: 20.478, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 20.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1224, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1359.3461, usercpu_time_millis: 15.819, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.5213, kb_relative_information_score: -4.014, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1326.3503, usercpu_time_millis: 31.475, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 31.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5213, kb_relative_information_score: -45.7447, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0403, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0076, scimark_benchmark: 1356.2897, usercpu_time_millis: 33.231, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 33.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5213, kb_relative_information_score: -77.2743, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0721, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0236, scimark_benchmark: 1330.8472, usercpu_time_millis: 33.378, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 33.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5213, kb_relative_information_score: -4.2813, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014, scimark_benchmark: 1344.1994, usercpu_time_millis: 22.415, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 22.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5095, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0082, scimark_benchmark: 1335.5982, usercpu_time_millis: 14.578, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 14.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8184, kappa: 0.5911, kb_relative_information_score: 209.498, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8191, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7711, scimark_benchmark: 1351.9865, usercpu_time_millis: 3.242, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 3.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5213, kb_relative_information_score: -23.9408, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1350.0021, usercpu_time_millis: 38.092, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 37.605,

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