Task
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: 6430.9357, mean_absolute_error: 0.0097, 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: 0.0374, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6492.552, mean_absolute_error: 0.006, 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: 0.0229, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2342, 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: 6576.0774, 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: 6570.7983, mean_absolute_error: 0.001, 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: 0.0037, 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: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2841, 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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6429.2079, mean_absolute_error: 0.0099, 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: 0.0379, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.7531, 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: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6426.3705, mean_absolute_error: 0.0101, 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: 0.0388, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6407.6903, mean_absolute_error: 0.0112, 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: 0.0428, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6026.4975, mean_absolute_error: 0.0312, 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: 0.1196, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6567.8975, 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: 0.0044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9328, kappa: 0.7221, kb_relative_information_score: 3531.4714, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9433, predictive_accuracy: 0.9392, prior_entropy: 0.6204, recall: 0.9392, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9871, kb_relative_information_score: 5680.8086, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6221.4485, mean_absolute_error: 0.0216, 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: 0.0829, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 5473.2884, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6062.9987, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6463.4468, mean_absolute_error: 0.0078, 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: 0.0299, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6244.9602, mean_absolute_error: 0.0205, 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: 0.0786, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2766, 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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6408.2753, mean_absolute_error: 0.0111, 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: 0.0424, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9962, kappa: 0.9853, kb_relative_information_score: 5878.02, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.9358, 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: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6529.6037, mean_absolute_error: 0.0036, 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: 0.0139, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6540.2458, 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: 0.0112, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3167, 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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6569.3333, 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: 0.0041, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6503.7927, 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: 0.0254, root_relative_squared_error: 0.0704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6554.197, mean_absolute_error: 0.002, 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: 0.0078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.7784, 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: 0.003, 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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.1861, 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: 0.0029, 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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6294.0013, mean_absolute_error: 0.0176, 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: 0.0676, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.1112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3167, 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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6297.6996, mean_absolute_error: 0.017, 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: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3089, 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,
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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: 6568.8657, 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: 0.0042, 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: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.7461, 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: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6417.9032, mean_absolute_error: 0.0105, 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: 0.0403, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6529.3141, mean_absolute_error: 0.0036, 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: 0.014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6556.0954, mean_absolute_error: 0.0019, 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: 0.0073, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.552, 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: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0672,
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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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8924, kappa: 0.5404, kb_relative_information_score: 2808.3987, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9179, predictive_accuracy: 0.9091, prior_entropy: 0.6204, recall: 0.9091, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.7022,
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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6231.1924, mean_absolute_error: 0.0227, 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: 0.0868, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6226.9015, mean_absolute_error: 0.023, 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: 0.088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.039, root_relative_squared_error: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7752, kb_relative_information_score: 989.8026, mean_absolute_error: 0.2356, 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: 0.9033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.9082,

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