Task
Supervised Classification on analcatdata_olympic2000

Supervised Classification on analcatdata_olympic2000

Task 3625 Supervised Classification analcatdata_olympic2000 106 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8314, kappa: 0.6667, kb_relative_information_score: 44.2863, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.849, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8933, kappa: 0.7879, kb_relative_information_score: 48.4536, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9032, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 63.5201, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8472, kappa: 0.697, kb_relative_information_score: 44.7103, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8604, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 64, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8787, kappa: 0.7576, kb_relative_information_score: 44.8311, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8802, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 64, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8314, kappa: 0.6667, kb_relative_information_score: 42.9006, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.849, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5111, kappa: 0.0303, kb_relative_information_score: 9.4345, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.5157, predictive_accuracy: 0.5152, prior_entropy: 1, recall: 0.5152, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6311, root_relative_squared_error: 1.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.5863, kappa: 0.1818, kb_relative_information_score: 18.8646, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.5952, predictive_accuracy: 0.5909, prior_entropy: 1, recall: 0.5909, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8778, kappa: 0.7576, kb_relative_information_score: 50.4755, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8917, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8462, kappa: 0.697, kb_relative_information_score: 46.1134, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8702, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8787, kappa: 0.7576, kb_relative_information_score: 39.6012, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8802, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8937, kappa: 0.7879, kb_relative_information_score: 51.0521, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8972, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 63.3334, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 37.8041, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.1408, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8787, kappa: 0.7576, kb_relative_information_score: 41.7356, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8802, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8783, kappa: 0.7576, kb_relative_information_score: 44.1214, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8844, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 59.7935, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 64, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8314, kappa: 0.6667, kb_relative_information_score: 43.4636, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.849, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8937, kappa: 0.7879, kb_relative_information_score: 52, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8972, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8462, kappa: 0.697, kb_relative_information_score: 46.087, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8702, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8783, kappa: 0.7576, kb_relative_information_score: 50, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8844, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 64, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8472, kappa: 0.697, kb_relative_information_score: 45.7838, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8604, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8628, kappa: 0.7273, kb_relative_information_score: 48, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8722, predictive_accuracy: 0.8636, prior_entropy: 1, recall: 0.8636, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8155, kappa: 0.6364, kb_relative_information_score: 43.348, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.838, predictive_accuracy: 0.8182, prior_entropy: 1, recall: 0.8182, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7779, kappa: 0.5758, kb_relative_information_score: 38, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8511, predictive_accuracy: 0.7879, prior_entropy: 1, recall: 0.7879, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 37.3077, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 66, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8314, kappa: 0.6667, kb_relative_information_score: 43.9315, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.849, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.1883, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 53.4654, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 66, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.432, kappa: -0.0606, kb_relative_information_score: -4, mean_absolute_error: 0.5303, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4588, predictive_accuracy: 0.4697, prior_entropy: 1, recall: 0.4697, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7282, root_relative_squared_error: 1.4564, scimark_benchmark: 1631.1992, usercpu_time_millis: 128859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 128843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4545, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -6, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.4771, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4545, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -6, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.4771, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4545, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -6, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.4771, scimark_benchmark: 1373.3337, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4545, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -6, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.4771, scimark_benchmark: 1568.2032, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.432, kappa: -0.0606, kb_relative_information_score: -4, mean_absolute_error: 0.5303, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4588, predictive_accuracy: 0.4697, prior_entropy: 1, recall: 0.4697, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7282, root_relative_squared_error: 1.4564, scimark_benchmark: 1645.9738, usercpu_time_millis: 2950, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.6786, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4262, scimark_benchmark: 1908.2191, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 55.3679, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4569, scimark_benchmark: 1908.2191, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8314, kappa: 0.6667, kb_relative_information_score: 43.9315, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.849, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8628, kappa: 0.7273, kb_relative_information_score: 48.1274, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8722, predictive_accuracy: 0.8636, prior_entropy: 1, recall: 0.8636, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6962, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8314, kappa: 0.6667, kb_relative_information_score: 44.2863, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.849, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.793, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 50.4992, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4319, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 37.3077, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5359, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8026, kappa: 0.6061, kb_relative_information_score: 41.2292, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8056, predictive_accuracy: 0.803, prior_entropy: 1, recall: 0.803, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6352, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.1455, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 62.4831, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2443, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8485, kappa: 0.697, kb_relative_information_score: 44.9093, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8485, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7664, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9848, kappa: 0.9697, kb_relative_information_score: 64, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9853, predictive_accuracy: 0.9848, prior_entropy: 1, recall: 0.9848, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2462, scimark_benchmark: 1860.4354,

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