OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6464.8031, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1403, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 5795.7505, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6510.7591, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6176.174, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9933, kappa: 0.974, kb_relative_information_score: 5269.4388, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.6204, recall: 0.9933, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3658, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6535.6472, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.7504, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9911, kappa: 0.9655, kb_relative_information_score: 5561.5775, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.6204, recall: 0.9912, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9788, kb_relative_information_score: 5614.8917, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.6204, recall: 0.9945, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.3133, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6516.9102, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6559.9918, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.1888, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.6456, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6503.6262, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0832, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.5984, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.9522, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.9317, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6330.4453, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.3242, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.2459, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6553.0992, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3107, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1561, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6540.6968, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6567.2359, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3165, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.944, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.1863, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6543.3286, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9863, kappa: 0.9464, kb_relative_information_score: 5251.1336, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9867, predictive_accuracy: 0.9865, prior_entropy: 0.6204, recall: 0.9865, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3484,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0287, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.0751, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6472.5246, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8127, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6091.0194, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6262.5894, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6096.458, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1568,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6516.2898, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0188, root_relative_squared_error: 0.0521, scimark_benchmark: 1852.9259, usercpu_time_millis: 4.89, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 4.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6422.2658, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0664, scimark_benchmark: 1853.454, usercpu_time_millis: 6.781, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 6.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6388.9325, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0743, scimark_benchmark: 1855.1417, usercpu_time_millis: 5.424, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 5.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1856.1949, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1856.5802, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 1.674, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1854.1098, usercpu_time_millis: 1.679, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1839.7252, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1843.6588, usercpu_time_millis: 1.676, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6533.7074, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0178, root_relative_squared_error: 0.0494, scimark_benchmark: 1856.5802, usercpu_time_millis: 10.364, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 10.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6470.296, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.021, root_relative_squared_error: 0.058, scimark_benchmark: 1851.5586, usercpu_time_millis: 5.592, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 5.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6514.8366, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0523, scimark_benchmark: 1846.6583, usercpu_time_millis: 4.911, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 4.606,

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