Task
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 20097 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.5779, kappa: 0.4551, kb_relative_information_score: 0.395, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5903, number_of_instances: 9873, precision: 0.5803, predictive_accuracy: 0.5903, prior_entropy: 2.1934, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.8388, unweighted_recall: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.5552, kappa: 0.4227, kb_relative_information_score: 0.4068, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5619, number_of_instances: 9873, precision: 0.5523, predictive_accuracy: 0.5619, prior_entropy: 2.1934, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8683, unweighted_recall: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.5906, kappa: 0.4712, kb_relative_information_score: 0.4084, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6017, number_of_instances: 9873, precision: 0.5923, predictive_accuracy: 0.6017, prior_entropy: 2.1934, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.83, unweighted_recall: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.585, kappa: 0.4639, kb_relative_information_score: 0.3946, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5972, number_of_instances: 9873, precision: 0.5894, predictive_accuracy: 0.5972, prior_entropy: 2.1934, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.8333, unweighted_recall: 0.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.5784, kappa: 0.4557, kb_relative_information_score: 0.3896, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5906, number_of_instances: 9873, precision: 0.5814, predictive_accuracy: 0.5906, prior_entropy: 2.1934, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.8392, unweighted_recall: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.5994, kappa: 0.4818, kb_relative_information_score: 0.443, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6084, number_of_instances: 9873, precision: 0.5981, predictive_accuracy: 0.6084, prior_entropy: 2.1934, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8227, unweighted_recall: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.5678, kappa: 0.4424, kb_relative_information_score: 0.3711, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5819, number_of_instances: 9873, precision: 0.574, predictive_accuracy: 0.5819, prior_entropy: 2.1934, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.8454, unweighted_recall: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.5764, kappa: 0.4503, kb_relative_information_score: 0.4315, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3065, weighted_recall: 0.583, number_of_instances: 9873, precision: 0.5738, predictive_accuracy: 0.583, prior_entropy: 2.1934, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8523, unweighted_recall: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.5754, kappa: 0.4518, kb_relative_information_score: 0.3913, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5881, number_of_instances: 9873, precision: 0.5795, predictive_accuracy: 0.5881, prior_entropy: 2.1934, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8369, unweighted_recall: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.595, kappa: 0.4763, kb_relative_information_score: 0.4208, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6051, number_of_instances: 9873, precision: 0.5955, predictive_accuracy: 0.6051, prior_entropy: 2.1934, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8248, unweighted_recall: 0.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.5799, kappa: 0.4554, kb_relative_information_score: 0.4334, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5876, number_of_instances: 9873, precision: 0.5776, predictive_accuracy: 0.5876, prior_entropy: 2.1934, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.8471, unweighted_recall: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.5765, kappa: 0.454, kb_relative_information_score: 0.3921, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5901, number_of_instances: 9873, precision: 0.5801, predictive_accuracy: 0.5901, prior_entropy: 2.1934, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.8357, unweighted_recall: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.5502, kappa: 0.4163, kb_relative_information_score: 0.3963, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5574, number_of_instances: 9873, precision: 0.547, predictive_accuracy: 0.5574, prior_entropy: 2.1934, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.8749, unweighted_recall: 0.5002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.5805, kappa: 0.4566, kb_relative_information_score: 0.423, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5892, number_of_instances: 9873, precision: 0.5788, predictive_accuracy: 0.5892, prior_entropy: 2.1934, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8382, unweighted_recall: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.5619, kappa: 0.4312, kb_relative_information_score: 0.4199, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5684, number_of_instances: 9873, precision: 0.5593, predictive_accuracy: 0.5684, prior_entropy: 2.1934, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8644, unweighted_recall: 0.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.5679, kappa: 0.4391, kb_relative_information_score: 0.4193, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5745, number_of_instances: 9873, precision: 0.5652, predictive_accuracy: 0.5745, prior_entropy: 2.1934, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.337, root_relative_squared_error: 0.8608, unweighted_recall: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.5859, kappa: 0.4624, kb_relative_information_score: 0.4417, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5928, number_of_instances: 9873, precision: 0.5838, predictive_accuracy: 0.5928, prior_entropy: 2.1934, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.8408, unweighted_recall: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.5659, kappa: 0.4371, kb_relative_information_score: 0.414, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5735, number_of_instances: 9873, precision: 0.5635, predictive_accuracy: 0.5735, prior_entropy: 2.1934, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8556, unweighted_recall: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.5881, kappa: 0.4663, kb_relative_information_score: 0.4374, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3065, weighted_recall: 0.596, number_of_instances: 9873, precision: 0.586, predictive_accuracy: 0.596, prior_entropy: 2.1934, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8369, unweighted_recall: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.6001, kappa: 0.4834, kb_relative_information_score: 0.4256, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6105, number_of_instances: 9873, precision: 0.6009, predictive_accuracy: 0.6105, prior_entropy: 2.1934, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8208, unweighted_recall: 0.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.5854, kappa: 0.4626, kb_relative_information_score: 0.4377, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5936, number_of_instances: 9873, precision: 0.5838, predictive_accuracy: 0.5936, prior_entropy: 2.1934, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.834, unweighted_recall: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.5871, kappa: 0.4666, kb_relative_information_score: 0.415, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5978, number_of_instances: 9873, precision: 0.5872, predictive_accuracy: 0.5978, prior_entropy: 2.1934, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8306, unweighted_recall: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.5822, kappa: 0.4596, kb_relative_information_score: 0.412, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5925, number_of_instances: 9873, precision: 0.5825, predictive_accuracy: 0.5925, prior_entropy: 2.1934, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.8352, unweighted_recall: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.5655, kappa: 0.4364, kb_relative_information_score: 0.4243, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3065, weighted_recall: 0.573, number_of_instances: 9873, precision: 0.5626, predictive_accuracy: 0.573, prior_entropy: 2.1934, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.8596, unweighted_recall: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.5949, kappa: 0.476, kb_relative_information_score: 0.4313, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3065, weighted_recall: 0.605, number_of_instances: 9873, precision: 0.5955, predictive_accuracy: 0.605, prior_entropy: 2.1934, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8232, unweighted_recall: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.5839, kappa: 0.4609, kb_relative_information_score: 0.4243, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3065, weighted_recall: 0.592, number_of_instances: 9873, precision: 0.5826, predictive_accuracy: 0.592, prior_entropy: 2.1934, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8402, unweighted_recall: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.5814, kappa: 0.4573, kb_relative_information_score: 0.4309, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5891, number_of_instances: 9873, precision: 0.579, predictive_accuracy: 0.5891, prior_entropy: 2.1934, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8459, unweighted_recall: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.556, kappa: 0.4271, kb_relative_information_score: 0.3608, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5714, number_of_instances: 9873, precision: 0.5625, predictive_accuracy: 0.5714, prior_entropy: 2.1934, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.8542, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.558, kappa: 0.4308, kb_relative_information_score: 0.363, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5737, number_of_instances: 9873, precision: 0.5633, predictive_accuracy: 0.5737, prior_entropy: 2.1934, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.8497, unweighted_recall: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.5782, kappa: 0.4529, kb_relative_information_score: 0.4249, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5853, number_of_instances: 9873, precision: 0.5757, predictive_accuracy: 0.5853, prior_entropy: 2.1934, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.8497, unweighted_recall: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5645, kappa: 0.435, kb_relative_information_score: 0.4118, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5725, number_of_instances: 9873, precision: 0.5626, predictive_accuracy: 0.5725, prior_entropy: 2.1934, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.8514, unweighted_recall: 0.5166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.5504, kappa: 0.4211, kb_relative_information_score: 0.3532, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5671, number_of_instances: 9873, precision: 0.5582, predictive_accuracy: 0.5671, prior_entropy: 2.1934, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.8542, unweighted_recall: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.593, kappa: 0.4735, kb_relative_information_score: 0.4362, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6023, number_of_instances: 9873, precision: 0.592, predictive_accuracy: 0.6023, prior_entropy: 2.1934, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8258, unweighted_recall: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.5681, kappa: 0.4404, kb_relative_information_score: 0.4154, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3065, weighted_recall: 0.577, number_of_instances: 9873, precision: 0.5662, predictive_accuracy: 0.577, prior_entropy: 2.1934, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.333, root_relative_squared_error: 0.8508, unweighted_recall: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.5723, kappa: 0.4481, kb_relative_information_score: 0.3851, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5855, number_of_instances: 9873, precision: 0.5771, predictive_accuracy: 0.5855, prior_entropy: 2.1934, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.329, root_relative_squared_error: 0.8404, unweighted_recall: 0.5196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.5949, kappa: 0.4764, kb_relative_information_score: 0.4256, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6048, number_of_instances: 9873, precision: 0.5945, predictive_accuracy: 0.6048, prior_entropy: 2.1934, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8245, unweighted_recall: 0.5434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.5764, kappa: 0.451, kb_relative_information_score: 0.4085, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5846, number_of_instances: 9873, precision: 0.5746, predictive_accuracy: 0.5846, prior_entropy: 2.1934, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.8428, unweighted_recall: 0.5272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.5982, kappa: 0.481, kb_relative_information_score: 0.4239, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6088, number_of_instances: 9873, precision: 0.5997, predictive_accuracy: 0.6088, prior_entropy: 2.1934, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8204, unweighted_recall: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.5772, kappa: 0.4512, kb_relative_information_score: 0.4351, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5835, number_of_instances: 9873, precision: 0.5745, predictive_accuracy: 0.5835, prior_entropy: 2.1934, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8502, unweighted_recall: 0.5282,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.5906, kappa: 0.4693, kb_relative_information_score: 0.4373, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5984, number_of_instances: 9873, precision: 0.5889, predictive_accuracy: 0.5984, prior_entropy: 2.1934, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.8346, unweighted_recall: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.5778, kappa: 0.453, kb_relative_information_score: 0.4334, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5857, number_of_instances: 9873, precision: 0.5753, predictive_accuracy: 0.5857, prior_entropy: 2.1934, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8483, unweighted_recall: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5551, kappa: 0.4229, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5628, number_of_instances: 9873, precision: 0.5522, predictive_accuracy: 0.5628, prior_entropy: 2.1934, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8674, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.5793, kappa: 0.4568, kb_relative_information_score: 0.3996, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5907, number_of_instances: 9873, precision: 0.5804, predictive_accuracy: 0.5907, prior_entropy: 2.1934, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.8374, unweighted_recall: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.5649, kappa: 0.4354, kb_relative_information_score: 0.4154, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5722, number_of_instances: 9873, precision: 0.5625, predictive_accuracy: 0.5722, prior_entropy: 2.1934, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.8627, unweighted_recall: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.5982, kappa: 0.4799, kb_relative_information_score: 0.4396, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.3065, weighted_recall: 0.607, number_of_instances: 9873, precision: 0.5973, predictive_accuracy: 0.607, prior_entropy: 2.1934, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8252, unweighted_recall: 0.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.5633, kappa: 0.4338, kb_relative_information_score: 0.4203, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5717, number_of_instances: 9873, precision: 0.5604, predictive_accuracy: 0.5717, prior_entropy: 2.1934, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.8642, unweighted_recall: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.5775, kappa: 0.4523, kb_relative_information_score: 0.4361, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5851, number_of_instances: 9873, precision: 0.5752, predictive_accuracy: 0.5851, prior_entropy: 2.1934, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.845, unweighted_recall: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.5562, kappa: 0.425, kb_relative_information_score: 0.4014, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5647, number_of_instances: 9873, precision: 0.5535, predictive_accuracy: 0.5647, prior_entropy: 2.1934, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.8697, unweighted_recall: 0.5064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.5826, kappa: 0.4593, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5907, number_of_instances: 9873, precision: 0.5812, predictive_accuracy: 0.5907, prior_entropy: 2.1934, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.8398, unweighted_recall: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.587, kappa: 0.4658, kb_relative_information_score: 0.4121, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5976, number_of_instances: 9873, precision: 0.589, predictive_accuracy: 0.5976, prior_entropy: 2.1934, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8275, unweighted_recall: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.5831, kappa: 0.4595, kb_relative_information_score: 0.4256, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5912, number_of_instances: 9873, precision: 0.5819, predictive_accuracy: 0.5912, prior_entropy: 2.1934, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.8345, unweighted_recall: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.576, kappa: 0.4511, kb_relative_information_score: 0.4218, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5849, number_of_instances: 9873, precision: 0.5737, predictive_accuracy: 0.5849, prior_entropy: 2.1934, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.844, unweighted_recall: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.5816, kappa: 0.4571, kb_relative_information_score: 0.4385, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5883, number_of_instances: 9873, precision: 0.5791, predictive_accuracy: 0.5883, prior_entropy: 2.1934, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8459, unweighted_recall: 0.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.5565, kappa: 0.4279, kb_relative_information_score: 0.3611, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5716, number_of_instances: 9873, precision: 0.5627, predictive_accuracy: 0.5716, prior_entropy: 2.1934, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.8519, unweighted_recall: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.5482, kappa: 0.419, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5668, number_of_instances: 9873, precision: 0.5601, predictive_accuracy: 0.5668, prior_entropy: 2.1934, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.8579, unweighted_recall: 0.4878,

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