OpenML
Supervised Classification on servo

Supervised Classification on servo

Task 3613 Supervised Classification servo 851 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9389, kappa: 0.8231, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9393, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9459, kappa: 0.8453, kb_relative_information_score: 136.9991, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5537, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9225, kappa: 0.7806, kb_relative_information_score: 120.2462, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.923, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5386, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 130.5989, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 106.822, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5679, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.2813, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5649, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9468, kappa: 0.8508, kb_relative_information_score: 125.628, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9483, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.45, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8124, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5649, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 108.3922, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.5221, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 106.822, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5679, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.6733, kb_relative_information_score: -0.6035, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.5967, predictive_accuracy: 0.7725, prior_entropy: 0.7794, recall: 0.7725, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0003, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 130.5989, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6121, usercpu_time_millis: 327.226, usercpu_time_millis_testing: 5.53, usercpu_time_millis_training: 321.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9127, kappa: 0.7601, kb_relative_information_score: 117.7986, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9191, predictive_accuracy: 0.9102, prior_entropy: 0.7794, recall: 0.9102, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.7148, usercpu_time_millis: 2.287, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 2.232, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 2.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.9267, kappa: 0.7877, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9268, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 0.158, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.942, kappa: 0.8414, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9491, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837, usercpu_time_millis: 0.537, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9525, kappa: 0.8662, kb_relative_information_score: 140.1992, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9533, predictive_accuracy: 0.9521, prior_entropy: 0.7794, recall: 0.9521, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.522, usercpu_time_millis: 6.774, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 4.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 130.5989, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6121, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9344, kappa: 0.8144, kb_relative_information_score: 130.5989, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6121, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9424, kappa: 0.8441, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9526, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837, usercpu_time_millis: 1.875, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9525, kappa: 0.8662, kb_relative_information_score: 140.1992, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9533, predictive_accuracy: 0.9521, prior_entropy: 0.7794, recall: 0.9521, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.522, usercpu_time_millis: 1.22, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 1.626, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9304, kappa: 0.8097, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9378, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 30.679, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 29.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9294, kappa: 0.8029, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9319, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9194, kappa: 0.7818, kb_relative_information_score: 120.9987, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9301, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6906, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9521, kappa: 0.8637, kb_relative_information_score: 140.1992, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.7794, recall: 0.9521, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.522, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9244, kappa: 0.7921, kb_relative_information_score: 124.1988, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9304, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6655, usercpu_time_millis: 8.191, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 7.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, usercpu_time_millis: 1.362, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9253, kappa: 0.7991, kb_relative_information_score: 124.1988, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9377, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6655, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9344, kappa: 0.8144, kb_relative_information_score: 130.5989, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6121, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9525, kappa: 0.8662, kb_relative_information_score: 140.1992, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9533, predictive_accuracy: 0.9521, prior_entropy: 0.7794, recall: 0.9521, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.522, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837, usercpu_time_millis: 1.758, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 1.015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9244, kappa: 0.7921, kb_relative_information_score: 125.2613, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9304, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9344, kappa: 0.8144, kb_relative_information_score: 130.4573, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9344, kappa: 0.8144, kb_relative_information_score: 130.4573, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9244, kappa: 0.7921, kb_relative_information_score: 125.2613, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9304, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9324, kappa: 0.8035, kb_relative_information_score: 126.6388, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9332, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9324, kappa: 0.8035, kb_relative_information_score: 126.6388, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9332, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9324, kappa: 0.8035, kb_relative_information_score: 126.6388, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9332, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 92.8563, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9644, kappa: 0.8997, kb_relative_information_score: 135.2769, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9651, predictive_accuracy: 0.9641, prior_entropy: 0.7794, recall: 0.9641, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9644, kappa: 0.8997, kb_relative_information_score: 135.2769, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9651, predictive_accuracy: 0.9641, prior_entropy: 0.7794, recall: 0.9641, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 92.8563, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9344, kappa: 0.8144, kb_relative_information_score: 130.4573, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9324, kappa: 0.8035, kb_relative_information_score: 126.6388, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9332, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9644, kappa: 0.8997, kb_relative_information_score: 135.2769, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9651, predictive_accuracy: 0.9641, prior_entropy: 0.7794, recall: 0.9641, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 126.9465, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 126.9465, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 126.9465, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9244, kappa: 0.7921, kb_relative_information_score: 125.2613, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9304, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9244, kappa: 0.7921, kb_relative_information_score: 125.2613, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9304, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 92.8563, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 92.8563, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5863,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs