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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: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1189, 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: 1344.7121, usercpu_time_millis: 26.548, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 26.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 15.1863, mean_absolute_error: 0.4352, 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: 0.9656, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9755, scimark_benchmark: 1335.5673, usercpu_time_millis: 55.701, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 54.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5213, kb_relative_information_score: 0.0146, 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: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1333.4325, usercpu_time_millis: 14.105, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 14.033,
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: 1342.7577, usercpu_time_millis: 16.61, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 16.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5108, kappa: -0.0424, kb_relative_information_score: -12.8876, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.427, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0064, scimark_benchmark: 1328.3668, usercpu_time_millis: 16.045, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 16.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.5213, kb_relative_information_score: -2.8575, mean_absolute_error: 0.4513, 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: 1.0013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0015, scimark_benchmark: 1346.5119, usercpu_time_millis: 39.346, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 39.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5213, kb_relative_information_score: 6.0675, mean_absolute_error: 0.4427, 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: 0.9822, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9878, scimark_benchmark: 1326.2148, usercpu_time_millis: 6.77, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 6.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5213, kb_relative_information_score: -4.744, mean_absolute_error: 0.4491, 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: 0.9964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1336.0485, usercpu_time_millis: 19.207, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 19.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.5564, kappa: 0.0345, kb_relative_information_score: 12.8244, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5962, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9811, scimark_benchmark: 1320.0521, usercpu_time_millis: 59.359, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 58.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5213, kb_relative_information_score: 5.0077, mean_absolute_error: 0.4428, 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: 0.9824, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9868, scimark_benchmark: 1332.8694, usercpu_time_millis: 24.619, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 24.399,
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: 1338.7427, usercpu_time_millis: 28.648, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 28.482,
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: 1319.2825, usercpu_time_millis: 30.112, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 29.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5213, kb_relative_information_score: -4.6234, mean_absolute_error: 0.4491, 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: 0.9965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1321.2987, usercpu_time_millis: 33.997, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 33.987,
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: 1348.6072, usercpu_time_millis: 36.691, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 36.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.5213, kb_relative_information_score: -9.009, mean_absolute_error: 0.4486, 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: 0.9953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9972, scimark_benchmark: 1313.481, usercpu_time_millis: 19.03, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.019,
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: 1336.7811, usercpu_time_millis: 26.279, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 26.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5092, kappa: -0.0488, kb_relative_information_score: -13.1763, mean_absolute_error: 0.4476, 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: 0.9931, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0064, scimark_benchmark: 1332.9686, usercpu_time_millis: 20.234, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 20.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5213, kb_relative_information_score: -3.4125, mean_absolute_error: 0.4509, 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: 1.0004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1324.3865, usercpu_time_millis: 32.103, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 32.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5213, kb_relative_information_score: -40.0799, mean_absolute_error: 0.4674, 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: 1.0369, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0171, scimark_benchmark: 1342.2527, usercpu_time_millis: 9.605, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 9.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -9.9256, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0025, scimark_benchmark: 1313.3987, usercpu_time_millis: 24.328, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.318,
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: 1331.0461, usercpu_time_millis: 29.127, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 28.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.5213, kb_relative_information_score: -8.4295, mean_absolute_error: 0.4482, 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: 0.9943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1335.937, usercpu_time_millis: 33.317, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 33.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.5213, kb_relative_information_score: -0.7812, 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: 0.4744, root_relative_squared_error: 0.9995, scimark_benchmark: 1334.8772, usercpu_time_millis: 24.982, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 24.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: 0.4918, 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: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1342.5254, usercpu_time_millis: 6.412, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 6.371,
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: 1337.7196, usercpu_time_millis: 13, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.5213, kb_relative_information_score: -81.7632, mean_absolute_error: 0.4854, 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: 1.0768, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.0268, scimark_benchmark: 1329.486, usercpu_time_millis: 41.048, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 40.848,
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: 1350.3975, usercpu_time_millis: 18.451, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.5213, kb_relative_information_score: -9.0262, 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: 1338.4785, usercpu_time_millis: 5.063, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 5.054,
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: 1316.6864, usercpu_time_millis: 5.82, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.5213, kb_relative_information_score: -4.3959, 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: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0013, scimark_benchmark: 1326.6634, usercpu_time_millis: 16.357, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 16.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5213, kb_relative_information_score: -9.256, mean_absolute_error: 0.4526, 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: 1.0041, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1344.9472, usercpu_time_millis: 18.191, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.2556, 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: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0079, scimark_benchmark: 1327.9762, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 2.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5213, kb_relative_information_score: -5.5059, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0017, scimark_benchmark: 1348.5071, usercpu_time_millis: 24.519, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 24.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5133, kappa: -0.0328, kb_relative_information_score: -12.405, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4282, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0058, scimark_benchmark: 1306.9331, usercpu_time_millis: 23.453, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 23.441,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.5213, kb_relative_information_score: -9.1385, mean_absolute_error: 0.4469, 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: 0.9916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1328.0645, usercpu_time_millis: 9.288, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.278,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5213, kb_relative_information_score: -1.5367, mean_absolute_error: 0.4489, 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: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011, scimark_benchmark: 1345.6264, usercpu_time_millis: 32.056, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 31.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.5213, kb_relative_information_score: -2.04, 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: 0.9982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1350.0181, usercpu_time_millis: 12.61, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7199, kappa: 0.3633, kb_relative_information_score: 131.4482, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7237, predictive_accuracy: 0.7338, prior_entropy: 0.9279, recall: 0.7338, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8601, scimark_benchmark: 1318.2643, usercpu_time_millis: 25.366, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 25.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.045, 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: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1338.4201, usercpu_time_millis: 27.681, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5213, kb_relative_information_score: -1.771, 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: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1308.1552, usercpu_time_millis: 4.53, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5213, kb_relative_information_score: -0.0291, mean_absolute_error: 0.4504, 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: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1340.0373, usercpu_time_millis: 44.332, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 44.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.5213, kb_relative_information_score: -1.0029, 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: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1345.2627, usercpu_time_millis: 32.826, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 32.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5149, kappa: -0.0263, kb_relative_information_score: -11.4862, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4289, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.477, root_relative_squared_error: 1.005, scimark_benchmark: 1321.7458, usercpu_time_millis: 19.886, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 19.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9111, kappa: 0.8013, kb_relative_information_score: 283.0127, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9113, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6618, scimark_benchmark: 1337.23, usercpu_time_millis: 49.706, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 49.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.51, kappa: -0.0456, kb_relative_information_score: -12.1349, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4266, predictive_accuracy: 0.6339, prior_entropy: 0.9279, recall: 0.6339, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0061, scimark_benchmark: 1335.3753, usercpu_time_millis: 22.998, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 22.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5213, kb_relative_information_score: -2.7932, mean_absolute_error: 0.4496, 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: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1347.8931, usercpu_time_millis: 27.96, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 27.95,
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: 1342.8226, usercpu_time_millis: 4.46, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.5213, kb_relative_information_score: 0.1228, 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: 1335.8516, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5213, kb_relative_information_score: -49.2562, mean_absolute_error: 0.4704, 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: 1.0437, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0089, scimark_benchmark: 1318.0289, usercpu_time_millis: 32.57, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 32.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.5991, kappa: 0.094, kb_relative_information_score: 85.8315, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6088, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9027, scimark_benchmark: 1344.0037, usercpu_time_millis: 9.413, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 9.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, f_measure: 0.5213, kb_relative_information_score: -22.8026, mean_absolute_error: 0.4594, 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: 1.0193, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0017, scimark_benchmark: 1319.9254, usercpu_time_millis: 12.12, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 12.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -12.9915, 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: 0.4782, root_relative_squared_error: 1.0075, scimark_benchmark: 1341.8668, usercpu_time_millis: 31.021, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 31.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.5213, kb_relative_information_score: -6.5734, mean_absolute_error: 0.4456, 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: 0.9887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1332.4555, usercpu_time_millis: 21.08, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 20.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, f_measure: 0.5213, kb_relative_information_score: -3.886, mean_absolute_error: 0.4458, 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: 0.9891, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9957, scimark_benchmark: 1337.9307, usercpu_time_millis: 23.575, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 23.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -8.163, mean_absolute_error: 0.4538, 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: 1.0067, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1336.2763, usercpu_time_millis: 7.287, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5213, kb_relative_information_score: -49.6792, mean_absolute_error: 0.4706, 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: 1.0442, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.009, scimark_benchmark: 1325.9245, usercpu_time_millis: 4.129, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 4.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, f_measure: 0.5213, kb_relative_information_score: 0.074, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1326.8145, usercpu_time_millis: 29.321, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 29.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.5153, kappa: -0.0329, kb_relative_information_score: 28.3574, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4545, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9641, scimark_benchmark: 1333.0223, usercpu_time_millis: 72.284, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 71.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1053, 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: 1340.7685, usercpu_time_millis: 8.236, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.5213, kb_relative_information_score: -4.8111, mean_absolute_error: 0.4513, 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: 1.0014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1326.0961, usercpu_time_millis: 24.387, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.5213, kb_relative_information_score: -4.072, mean_absolute_error: 0.4473, 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: 0.9924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9963, scimark_benchmark: 1323.3335, usercpu_time_millis: 50.965, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 50.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.0745, 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: 0.4782, root_relative_squared_error: 1.0076, scimark_benchmark: 1349.5713, usercpu_time_millis: 29.731, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 29.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5213, kb_relative_information_score: 0.2504, mean_absolute_error: 0.4505, 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: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1328.1123, usercpu_time_millis: 33.151, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 32.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5213, kb_relative_information_score: -8.0775, mean_absolute_error: 0.4532, 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: 1.0056, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1330.9112, usercpu_time_millis: 4.492, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 4.455,
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: 1324.2639, usercpu_time_millis: 44.58, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 44.325,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs