Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.534, kappa: 0.0016, kb_relative_information_score: 0.6183, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5531, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.999, scimark_benchmark: 1344.5146, usercpu_time_millis: 10.417, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 10.342,
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: 1337.2569, usercpu_time_millis: 8.887, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 8.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5213, kb_relative_information_score: -83.6712, mean_absolute_error: 0.4863, 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: 1.0789, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0283, scimark_benchmark: 1339.4103, usercpu_time_millis: 19.199, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 19.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5213, kb_relative_information_score: -0.0734, 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: 1340.2076, usercpu_time_millis: 25.565, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 25.432,
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: 1347.9951, usercpu_time_millis: 21.798, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 21.649,
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: 1316.537, usercpu_time_millis: 5.816, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.5213, kb_relative_information_score: -3.7181, mean_absolute_error: 0.4521, 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: 1.0031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1333.7471, usercpu_time_millis: 11.603, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 11.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5213, kb_relative_information_score: -7.4922, mean_absolute_error: 0.449, 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: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1352.7641, usercpu_time_millis: 13.619, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 13.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1336.9801, usercpu_time_millis: 31.967, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 31.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5213, kb_relative_information_score: -6.6189, 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: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1344.5857, usercpu_time_millis: 8.445, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.437,
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: 1326.948, usercpu_time_millis: 4.868, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 4.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5213, kb_relative_information_score: -2.2013, 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: 1333.2134, usercpu_time_millis: 19.645, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 19.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, 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: 1324.531, usercpu_time_millis: 34.338, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 34.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -12.4667, mean_absolute_error: 0.4474, 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: 0.9926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0059, scimark_benchmark: 1330.392, usercpu_time_millis: 2.462, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 2.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5213, kb_relative_information_score: -110.4781, 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: 1329.6504, usercpu_time_millis: 44.638, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 44.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5213, kb_relative_information_score: -4.6844, 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: 0.4753, root_relative_squared_error: 1.0014, scimark_benchmark: 1317.5397, usercpu_time_millis: 44.914, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 44.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.5213, kb_relative_information_score: -23.4585, mean_absolute_error: 0.4597, 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: 1.0199, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1328.7715, usercpu_time_millis: 36.181, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 35.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.5213, kb_relative_information_score: -0.8587, 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: 1338.2361, usercpu_time_millis: 35.024, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 34.833,
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: 1326.8597, usercpu_time_millis: 22.201, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 22.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5213, kb_relative_information_score: -0.1905, 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: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1333.9162, usercpu_time_millis: 2.975, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 2.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5169, 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: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0082, scimark_benchmark: 1336.0586, usercpu_time_millis: 29.833, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 29.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5213, kb_relative_information_score: -109.8646, mean_absolute_error: 0.4997, 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: 1.1086, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0527, scimark_benchmark: 1312.1515, usercpu_time_millis: 26.76, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 26.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5026, kappa: -0.0739, kb_relative_information_score: -13.6465, 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: 1329.3307, usercpu_time_millis: 25.26, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 25.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1342.001, usercpu_time_millis: 10.572, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 10.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.5213, kb_relative_information_score: -2.7608, 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: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9958, scimark_benchmark: 1335.4419, usercpu_time_millis: 19.973, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 19.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5213, kb_relative_information_score: -3.6674, mean_absolute_error: 0.4516, 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: 1.002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1307.9829, usercpu_time_millis: 38.938, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 38.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.5213, kb_relative_information_score: -0.7365, 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: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1338.1883, usercpu_time_millis: 2.783, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.0331, 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: 0.9919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0075, scimark_benchmark: 1336.6092, usercpu_time_millis: 3.819, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1227, 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: 1335.5609, usercpu_time_millis: 15.265, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 15.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.5213, kb_relative_information_score: -0.5448, 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: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1359.5495, usercpu_time_millis: 15.398, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 15.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: 0.2213, 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: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1339.4479, usercpu_time_millis: 23.767, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 23.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5108, kappa: -0.0424, kb_relative_information_score: -12.9339, mean_absolute_error: 0.4476, 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: 0.993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0061, scimark_benchmark: 1329.3951, usercpu_time_millis: 18.685, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5009, kappa: -0.0801, kb_relative_information_score: -12.68, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4222, predictive_accuracy: 0.6156, prior_entropy: 0.9279, recall: 0.6156, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0087, scimark_benchmark: 1333.1129, usercpu_time_millis: 44.159, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 43.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5276, 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: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0081, scimark_benchmark: 1326.4692, usercpu_time_millis: 18.266, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.256,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5149, kappa: -0.0263, kb_relative_information_score: -11.769, mean_absolute_error: 0.4474, 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: 0.9926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0048, scimark_benchmark: 1322.255, usercpu_time_millis: 6.994, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 6.982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.5485, kappa: -0.0012, kb_relative_information_score: 48.3007, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5483, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9457, scimark_benchmark: 1326.0652, usercpu_time_millis: 49.334, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 48.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.707, 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: 1350.885, usercpu_time_millis: 31.667, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 31.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1334.1844, usercpu_time_millis: 18.423, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: -13.0198, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4274, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0057, scimark_benchmark: 1329.6783, usercpu_time_millis: 16.439, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 16.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -76.1577, mean_absolute_error: 0.4827, 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: 1.0709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0229, scimark_benchmark: 1341.7225, usercpu_time_millis: 37.367, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 37.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.5213, kb_relative_information_score: -30.2587, mean_absolute_error: 0.4624, 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: 1.026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031, scimark_benchmark: 1331.7056, usercpu_time_millis: 45.231, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 44.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5213, kb_relative_information_score: -10.3602, 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: 1.0042, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9994, scimark_benchmark: 1347.7331, usercpu_time_millis: 19.871, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 19.76,
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: 1332.9605, usercpu_time_millis: 3.766, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 3.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.99, kappa: 0.9777, kb_relative_information_score: 451.4703, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3757, scimark_benchmark: 1340.8629, usercpu_time_millis: 63.326, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 62.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -1.547, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1346.8644, usercpu_time_millis: 38.393, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 38.159,
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: 1296.7001, usercpu_time_millis: 23.539, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 23.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5213, kb_relative_information_score: -18.3195, mean_absolute_error: 0.4577, 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: 1.0156, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 1321.6875, usercpu_time_millis: 11.45, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 11.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -6.0914, mean_absolute_error: 0.453, 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: 1.005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1325.6027, usercpu_time_millis: 8.389, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 8.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.5213, kb_relative_information_score: -10.2627, mean_absolute_error: 0.4494, 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: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1334.2336, usercpu_time_millis: 15.083, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.5213, kb_relative_information_score: -71.7966, mean_absolute_error: 0.4806, 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: 1.0663, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0201, scimark_benchmark: 1328.7731, usercpu_time_millis: 43.672, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 43.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.5213, kb_relative_information_score: 19.715, mean_absolute_error: 0.4353, 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: 0.9658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9689, scimark_benchmark: 1313.3496, usercpu_time_millis: 52.197, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 51.617,
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: 1325.7225, usercpu_time_millis: 46.315, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 46.058,
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: 1346.3651, usercpu_time_millis: 6.513, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 6.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.5141, kappa: -0.0295, kb_relative_information_score: -12.1328, mean_absolute_error: 0.4475, 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: 0.9929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0054, scimark_benchmark: 1336.2271, usercpu_time_millis: 32.53, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 32.521,
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: 1329.7936, usercpu_time_millis: 26.068, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 25.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.675, kappa: 0.2623, kb_relative_information_score: 142.9551, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6735, predictive_accuracy: 0.6889, prior_entropy: 0.9279, recall: 0.6889, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8625, scimark_benchmark: 1323.4373, usercpu_time_millis: 89.572, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 88.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, f_measure: 0.5213, kb_relative_information_score: -5.0247, mean_absolute_error: 0.4512, 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: 1.001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1338.8901, usercpu_time_millis: 19.042, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 19.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7028, 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: 1.0086, scimark_benchmark: 1343.5204, usercpu_time_millis: 22.972, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 22.962,
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: 1337.1919, usercpu_time_millis: 20.772, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 20.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8713, kappa: 0.7106, kb_relative_information_score: 235.8903, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8728, predictive_accuracy: 0.8735, prior_entropy: 0.9279, recall: 0.8735, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7333, scimark_benchmark: 1325.2663, usercpu_time_millis: 14.348, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 14.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5133, kappa: -0.0328, kb_relative_information_score: -12.3343, mean_absolute_error: 0.4473, 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: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0059, scimark_benchmark: 1342.8471, usercpu_time_millis: 13.245, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 13.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.51, kappa: -0.0456, kb_relative_information_score: 24.1291, mean_absolute_error: 0.4302, 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: 0.9544, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9694, scimark_benchmark: 1317.6423, usercpu_time_millis: 54.771, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 54.196,
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: 1330.7355, usercpu_time_millis: 9.734, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 9.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 518.6399, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2229, scimark_benchmark: 1338.4025, usercpu_time_millis: 53.676, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 53.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.5213, kb_relative_information_score: -1.3975, mean_absolute_error: 0.447, 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: 0.9917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9943, scimark_benchmark: 1340.6659, usercpu_time_millis: 32.85, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 32.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.4997, kappa: -0.101, kb_relative_information_score: 31.1738, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4441, predictive_accuracy: 0.599, prior_entropy: 0.9279, recall: 0.599, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9669, scimark_benchmark: 1343.5903, usercpu_time_millis: 20.912, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 20.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.5213, kb_relative_information_score: 0.5206, 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: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1334.23, usercpu_time_millis: 32.005, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 31.823,

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