Task
Supervised Classification on tae

Supervised Classification on tae

Task 47 Supervised Classification tae 940 runs submitted
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  • basic study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6229, kappa: 0.4341, kb_relative_information_score: 70.8939, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6249, predictive_accuracy: 0.6225, prior_entropy: 1.5845, recall: 0.6225, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.3718, kappa: 0.0868, kb_relative_information_score: 16.5408, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3669, predictive_accuracy: 0.3907, prior_entropy: 1.5845, recall: 0.3907, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.4799, kappa: 0.2236, kb_relative_information_score: 19.0569, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4818, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.5116, kappa: 0.2861, kb_relative_information_score: 52.5107, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5203, predictive_accuracy: 0.5232, prior_entropy: 1.5845, recall: 0.5232, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5638, root_relative_squared_error: 1.1962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.5486, kappa: 0.3249, kb_relative_information_score: 51.2706, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5509, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5312, kappa: 0.3059, kb_relative_information_score: 24.7951, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 20.9405, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.5097, kappa: 0.266, kb_relative_information_score: 32.9505, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5152, predictive_accuracy: 0.5099, prior_entropy: 1.5845, recall: 0.5099, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.5127, kappa: 0.2767, kb_relative_information_score: 29.3576, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5263, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.4545, kappa: 0.1814, kb_relative_information_score: 19.9976, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4856, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9433, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.491, kappa: 0.2347, kb_relative_information_score: 22.17, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4926, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.6701, kappa: 0.503, kb_relative_information_score: 76.3101, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6725, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.3776, kappa: 0.2091, kb_relative_information_score: 14.9401, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3484, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.219, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.6143, kappa: 0.4241, kb_relative_information_score: 63.035, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6143, predictive_accuracy: 0.6159, prior_entropy: 1.5845, recall: 0.6159, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.465, kappa: 0.2142, kb_relative_information_score: 38.763, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4634, predictive_accuracy: 0.4768, prior_entropy: 1.5845, recall: 0.4768, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.4824, kappa: 0.2371, kb_relative_information_score: 34.731, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4933, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.5582, kappa: 0.3444, kb_relative_information_score: 50.337, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5589, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.5357, kappa: 0.3038, kb_relative_information_score: 27.6725, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5365, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.491, kappa: 0.2347, kb_relative_information_score: 39.3241, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4926, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.1105, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3776, kappa: 0.2091, kb_relative_information_score: 19.8324, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3484, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5611, kappa: 0.3443, kb_relative_information_score: 55.374, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5626, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 28.076, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 40.9731, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9575, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 26.0972, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5611, kappa: 0.3443, kb_relative_information_score: 55.374, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5626, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.1764, kb_relative_information_score: 13.7521, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6749, kappa: 0.513, kb_relative_information_score: 65.1261, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6747, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.5257, kappa: 0.2966, kb_relative_information_score: 29.4037, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5405, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.535, kappa: 0.3056, kb_relative_information_score: 39.8263, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5386, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.3651, kappa: 0.1496, kb_relative_information_score: 29.5097, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3721, predictive_accuracy: 0.4305, prior_entropy: 1.5845, recall: 0.4305, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7142, kappa: 0.5727, kb_relative_information_score: 94.3403, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7144, predictive_accuracy: 0.7152, prior_entropy: 1.5845, recall: 0.7152, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7006, kappa: 0.553, kb_relative_information_score: 89.284, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7037, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7018, kappa: 0.5526, kb_relative_information_score: 90.1769, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7023, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7142, kappa: 0.5727, kb_relative_information_score: 94.3403, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7144, predictive_accuracy: 0.7152, prior_entropy: 1.5845, recall: 0.7152, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7018, kappa: 0.5526, kb_relative_information_score: 90.1769, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7023, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7018, kappa: 0.5526, kb_relative_information_score: 90.1769, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7023, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7018, kappa: 0.5526, kb_relative_information_score: 90.1769, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7023, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.631, kappa: 0.4437, kb_relative_information_score: 75.311, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6356, predictive_accuracy: 0.6291, prior_entropy: 1.5845, recall: 0.6291, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.6874, kappa: 0.533, kb_relative_information_score: 85.9526, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6866, predictive_accuracy: 0.6887, prior_entropy: 1.5845, recall: 0.6887, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.436, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.6874, kappa: 0.533, kb_relative_information_score: 85.9526, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6866, predictive_accuracy: 0.6887, prior_entropy: 1.5845, recall: 0.6887, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.436, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7018, kappa: 0.5526, kb_relative_information_score: 90.1769, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7023, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7018, kappa: 0.5526, kb_relative_information_score: 90.1769, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7023, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6758, kappa: 0.513, kb_relative_information_score: 19.8959, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6764, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7007, kappa: 0.5527, kb_relative_information_score: 22.8389, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7003, predictive_accuracy: 0.702, prior_entropy: 1.5845, recall: 0.702, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.6882, kappa: 0.533, kb_relative_information_score: 86.7098, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6879, predictive_accuracy: 0.6887, prior_entropy: 1.5845, recall: 0.6887, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.436, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.6808, kappa: 0.5229, kb_relative_information_score: 22.8036, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6802, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.6882, kappa: 0.533, kb_relative_information_score: 86.7098, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6879, predictive_accuracy: 0.6887, prior_entropy: 1.5845, recall: 0.6887, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.436, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6758, kappa: 0.513, kb_relative_information_score: 19.8959, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6764, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4354, kappa: 0.1628, kb_relative_information_score: 0.9351, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4907, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.4842, kappa: 0.2248, kb_relative_information_score: 1.6824, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4855, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.4842, kappa: 0.2248, kb_relative_information_score: 1.6824, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4855, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.4842, kappa: 0.2248, kb_relative_information_score: 1.6824, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4855, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.4842, kappa: 0.2248, kb_relative_information_score: 1.6824, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4855, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.4842, kappa: 0.2248, kb_relative_information_score: 1.6824, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4855, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.4802, kappa: 0.224, kb_relative_information_score: 1.7345, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4793, predictive_accuracy: 0.4834, prior_entropy: 1.5845, recall: 0.4834, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.6827, kappa: 0.523, kb_relative_information_score: 20.6799, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6836, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.6817, kappa: 0.523, kb_relative_information_score: 85.7866, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6814, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.6689, kappa: 0.5032, kb_relative_information_score: 82.9485, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6689, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.6822, kappa: 0.5231, kb_relative_information_score: 85.72, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6823, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.6545, kappa: 0.4827, kb_relative_information_score: 64.0904, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6563, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5563, kappa: 0.334, kb_relative_information_score: 43.8331, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5569, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.6357, kappa: 0.4533, kb_relative_information_score: 61.3608, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6359, predictive_accuracy: 0.6358, prior_entropy: 1.5845, recall: 0.6358, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.6615, kappa: 0.4931, kb_relative_information_score: 82.617, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6612, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9773,

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