Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 20998 runs submitted
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  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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20998 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8366, kappa: 0.6703, kb_relative_information_score: 422.7205, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8379, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8438, kappa: 0.6845, kb_relative_information_score: 426.3938, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8447, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.841, kappa: 0.6793, kb_relative_information_score: 415.9817, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8427, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8366, kappa: 0.6703, kb_relative_information_score: 421.324, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8379, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 433.277, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8464, kappa: 0.6892, kb_relative_information_score: 431.4456, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8465, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8639, kappa: 0.7245, kb_relative_information_score: 439.9296, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8191, kappa: 0.6343, kb_relative_information_score: 434.478, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8196, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.825, kappa: 0.6469, kb_relative_information_score: 436.3834, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8264, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8395, kappa: 0.6763, kb_relative_information_score: 417.5344, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8411, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 436.2591, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8438, kappa: 0.6845, kb_relative_information_score: 423.3392, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8447, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 437.968, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8596, kappa: 0.7164, kb_relative_information_score: 430.2506, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8603, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 437.3595, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8381, kappa: 0.6735, kb_relative_information_score: 430.6853, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8399, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 437.7462, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8667, kappa: 0.7302, kb_relative_information_score: 436.9573, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8365, kappa: 0.67, kb_relative_information_score: 419.5529, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8377, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 435.3431, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8667, kappa: 0.7304, kb_relative_information_score: 438.1599, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8669, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.841, kappa: 0.6795, kb_relative_information_score: 423.685, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8431, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.854, kappa: 0.7062, kb_relative_information_score: 425.7215, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8571, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8033, kappa: 0.603, kb_relative_information_score: 413.2661, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8046, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8425, kappa: 0.6838, kb_relative_information_score: 421.9555, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8473, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 437.9447, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8583, kappa: 0.7145, kb_relative_information_score: 428.9125, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8604, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8266, kappa: 0.6508, kb_relative_information_score: 423.985, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8294, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8394, kappa: 0.6759, kb_relative_information_score: 424.7881, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8405, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8552, kappa: 0.707, kb_relative_information_score: 431.1468, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8553, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 436.0141, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 438.2759, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8468, kappa: 0.6914, kb_relative_information_score: 430.3213, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8492, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.8106, kappa: 0.6185, kb_relative_information_score: 423.2987, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8129, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8468, kappa: 0.6912, kb_relative_information_score: 429.4498, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8489, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8337, kappa: 0.6642, kb_relative_information_score: 435.3027, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8348, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8046, kappa: 0.6053, kb_relative_information_score: 411.8229, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8054, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8639, kappa: 0.7245, kb_relative_information_score: 434.8933, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8423, kappa: 0.6813, kb_relative_information_score: 426.6225, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8429, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.848, kappa: 0.6926, kb_relative_information_score: 439.4175, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8483, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8364, kappa: 0.6694, kb_relative_information_score: 421.9036, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8369, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8597, kappa: 0.7166, kb_relative_information_score: 429.3044, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8605, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8264, kappa: 0.6493, kb_relative_information_score: 438.0316, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8272, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8063, kappa: 0.6099, kb_relative_information_score: 420.0069, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8088, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 435.0797, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8553, kappa: 0.7077, kb_relative_information_score: 429.9188, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8561, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.841, kappa: 0.6795, kb_relative_information_score: 423.0393, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8431, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8409, kappa: 0.6791, kb_relative_information_score: 427.4224, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8424, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8006, kappa: 0.5997, kb_relative_information_score: 418.9407, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8056, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 438.3429, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8322, kappa: 0.661, kb_relative_information_score: 420.6679, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8329, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8363, kappa: 0.6688, kb_relative_information_score: 435.1657, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8364, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8395, kappa: 0.6763, kb_relative_information_score: 417.8511, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8411, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8496, kappa: 0.6964, kb_relative_information_score: 430.1409, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8291, kappa: 0.6542, kb_relative_information_score: 429.2673, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8293, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8496, kappa: 0.6964, kb_relative_information_score: 429.5152, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 439.0375, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8453, kappa: 0.6884, kb_relative_information_score: 429.6727, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8409, kappa: 0.6791, kb_relative_information_score: 427.3862, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8424, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8554, kappa: 0.7083, kb_relative_information_score: 435.1737, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8569, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8435, kappa: 0.6831, kb_relative_information_score: 430.5344, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8583, kappa: 0.7145, kb_relative_information_score: 428.4075, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8604, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8292, kappa: 0.6549, kb_relative_information_score: 435.0476, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8298, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8049, kappa: 0.6068, kb_relative_information_score: 417.1311, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8071, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8366, kappa: 0.6705, kb_relative_information_score: 430.9077, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8383, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8365, kappa: 0.6696, kb_relative_information_score: 426.9683, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8372, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8453, kappa: 0.6884, kb_relative_information_score: 427.9821, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 436.5827, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8453, kappa: 0.6884, kb_relative_information_score: 430.9967, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8467, kappa: 0.6908, kb_relative_information_score: 426.3853, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8482, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8396, kappa: 0.6773, kb_relative_information_score: 426.2687, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.843, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8653, kappa: 0.7274, kb_relative_information_score: 437.3405, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8654, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8553, kappa: 0.7077, kb_relative_information_score: 430.7179, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8561, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8308, kappa: 0.6588, kb_relative_information_score: 422.8356, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8325, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 432.8589, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 438.4226, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 433.7101, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8221, kappa: 0.6408, kb_relative_information_score: 424.1869, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8232, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8597, kappa: 0.7166, kb_relative_information_score: 429.3223, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8605, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8377, kappa: 0.6716, kb_relative_information_score: 424.4183, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8279, kappa: 0.653, kb_relative_information_score: 436.8335, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8296, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 438.3356, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 436.0215, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8322, kappa: 0.6614, kb_relative_information_score: 440.8644, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8335, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8438, kappa: 0.6849, kb_relative_information_score: 430.8048, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8453, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8163, kappa: 0.6294, kb_relative_information_score: 425.8525, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8177, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8424, kappa: 0.6823, kb_relative_information_score: 424.4168, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8444, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8409, kappa: 0.6787, kb_relative_information_score: 433.1951, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8419, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8078, kappa: 0.6146, kb_relative_information_score: 418.8938, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8136, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 436.4411, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8261, kappa: 0.6481, kb_relative_information_score: 420.0763, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8262, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8597, kappa: 0.7166, kb_relative_information_score: 429.9128, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8605, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 438.3867, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.854, kappa: 0.7056, kb_relative_information_score: 430.2486, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8559, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 435.7934, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8539, kappa: 0.7051, kb_relative_information_score: 433.9336, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6821,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs