Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19084 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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19084 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.4956, kappa: 0.2183, kb_relative_information_score: 407.4083, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4973, predictive_accuracy: 0.4956, prior_entropy: 1.5392, recall: 0.4956, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5799, root_relative_squared_error: 1.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.447, kappa: 0.1386, kb_relative_information_score: 311.9319, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4464, predictive_accuracy: 0.4528, prior_entropy: 1.5392, recall: 0.4528, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.604, root_relative_squared_error: 1.3014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.4852, kappa: 0.2005, kb_relative_information_score: 395.3482, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4873, predictive_accuracy: 0.4956, prior_entropy: 1.5392, recall: 0.4956, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5799, root_relative_squared_error: 1.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.5383, kappa: 0.2842, kb_relative_information_score: 497.1084, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5384, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.3326, kappa: -0.046, kb_relative_information_score: 100.6145, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3622, predictive_accuracy: 0.3551, prior_entropy: 1.5392, recall: 0.3551, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.4856, kappa: 0.2062, kb_relative_information_score: 387.3483, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4877, predictive_accuracy: 0.484, prior_entropy: 1.5392, recall: 0.484, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.2649, kappa: -0.1025, kb_relative_information_score: -76.9263, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.2884, predictive_accuracy: 0.2587, prior_entropy: 1.5392, recall: 0.2587, relative_absolute_error: 1.1472, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.703, root_relative_squared_error: 1.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.3354, kappa: -0.0286, kb_relative_information_score: 73.6779, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3512, predictive_accuracy: 0.3354, prior_entropy: 1.5392, recall: 0.3354, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.4342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.5431, kappa: 0.2917, kb_relative_information_score: 508.124, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5429, predictive_accuracy: 0.5472, prior_entropy: 1.5392, recall: 0.5472, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5023, kappa: 0.2325, kb_relative_information_score: 421.3097, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5066, predictive_accuracy: 0.4997, prior_entropy: 1.5392, recall: 0.4997, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5775, root_relative_squared_error: 1.2444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.5269, kappa: 0.266, kb_relative_information_score: 473.7581, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5263, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kappa: 0.0271, kb_relative_information_score: 243.8774, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4392, prior_entropy: 1.5392, recall: 0.4392, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, kappa: 0.0111, kb_relative_information_score: 228.2092, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4318, prior_entropy: 1.5392, recall: 0.4318, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.3262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.4906, kappa: 0.2104, kb_relative_information_score: 397.1836, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4916, predictive_accuracy: 0.4908, prior_entropy: 1.5392, recall: 0.4908, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5826, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4446, f_measure: 0.25, kappa: -0.1108, kb_relative_information_score: -97.2628, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.2799, predictive_accuracy: 0.2471, prior_entropy: 1.5392, recall: 0.2471, relative_absolute_error: 1.165, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.5265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.542, kappa: 0.2901, kb_relative_information_score: 505.8892, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5413, predictive_accuracy: 0.5465, prior_entropy: 1.5392, recall: 0.5465, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.5014, kappa: 0.2243, kb_relative_information_score: 423.4078, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5029, predictive_accuracy: 0.5064, prior_entropy: 1.5392, recall: 0.5064, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.2359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.3904, kappa: 0.1053, kb_relative_information_score: 315.6261, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5904, predictive_accuracy: 0.4711, prior_entropy: 1.5392, recall: 0.4711, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5938, root_relative_squared_error: 1.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.4908, kappa: 0.2107, kb_relative_information_score: 397.4252, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4918, predictive_accuracy: 0.4908, prior_entropy: 1.5392, recall: 0.4908, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5826, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.3089, kappa: -0.0533, kb_relative_information_score: 60.1389, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3556, predictive_accuracy: 0.3313, prior_entropy: 1.5392, recall: 0.3313, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6677, root_relative_squared_error: 1.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.5017, kappa: 0.228, kb_relative_information_score: 419.7171, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5035, predictive_accuracy: 0.5017, prior_entropy: 1.5392, recall: 0.5017, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.3291, kappa: -0.0423, kb_relative_information_score: 87.935, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3324, predictive_accuracy: 0.3456, prior_entropy: 1.5392, recall: 0.3456, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.4819, kappa: 0.1962, kb_relative_information_score: 384.4918, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4801, predictive_accuracy: 0.4854, prior_entropy: 1.5392, recall: 0.4854, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.4866, kappa: 0.204, kb_relative_information_score: 389.6769, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4876, predictive_accuracy: 0.4868, prior_entropy: 1.5392, recall: 0.4868, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5849, root_relative_squared_error: 1.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.5356, kappa: 0.2802, kb_relative_information_score: 493.5016, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5346, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.3275, kappa: -0.0392, kb_relative_information_score: 100.7372, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.337, predictive_accuracy: 0.3537, prior_entropy: 1.5392, recall: 0.3537, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6564, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3634, kappa: -0.0014, kb_relative_information_score: 149.0029, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3766, predictive_accuracy: 0.3761, prior_entropy: 1.5392, recall: 0.3761, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6449, root_relative_squared_error: 1.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.5133, kappa: 0.246, kb_relative_information_score: 447.4799, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5127, predictive_accuracy: 0.5139, prior_entropy: 1.5392, recall: 0.5139, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.2266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.4562, kappa: 0.1599, kb_relative_information_score: 333.8971, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4559, predictive_accuracy: 0.4596, prior_entropy: 1.5392, recall: 0.4596, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6002, root_relative_squared_error: 1.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.3496, kappa: -0.0192, kb_relative_information_score: 145.5266, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3713, predictive_accuracy: 0.3781, prior_entropy: 1.5392, recall: 0.3781, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6439, root_relative_squared_error: 1.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.5428, kappa: 0.2913, kb_relative_information_score: 508.0264, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5433, predictive_accuracy: 0.5472, prior_entropy: 1.5392, recall: 0.5472, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.5417, kappa: 0.2907, kb_relative_information_score: 509.2769, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5466, predictive_accuracy: 0.5492, prior_entropy: 1.5392, recall: 0.5492, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.5062, kappa: 0.2384, kb_relative_information_score: 433.681, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5079, predictive_accuracy: 0.5051, prior_entropy: 1.5392, recall: 0.5051, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5744, root_relative_squared_error: 1.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.5416, kappa: 0.2896, kb_relative_information_score: 503.7531, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5418, predictive_accuracy: 0.5431, prior_entropy: 1.5392, recall: 0.5431, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.4439, kappa: 0.1412, kb_relative_information_score: 306.1058, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4435, predictive_accuracy: 0.446, prior_entropy: 1.5392, recall: 0.446, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6077, root_relative_squared_error: 1.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, kappa: -0.0253, kb_relative_information_score: 184.3009, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4094, prior_entropy: 1.5392, recall: 0.4094, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6275, root_relative_squared_error: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4767, f_measure: 0.3037, kappa: -0.0437, kb_relative_information_score: 86.1887, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3656, predictive_accuracy: 0.3462, prior_entropy: 1.5392, recall: 0.3462, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6602, root_relative_squared_error: 1.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.5069, kappa: 0.2331, kb_relative_information_score: 432.9002, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5081, predictive_accuracy: 0.5098, prior_entropy: 1.5392, recall: 0.5098, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.2967, kappa: -0.0915, kb_relative_information_score: 31.1549, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3029, predictive_accuracy: 0.3204, prior_entropy: 1.5392, recall: 0.3204, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6731, root_relative_squared_error: 1.4503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.5511, kappa: 0.3044, kb_relative_information_score: 523.7449, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5519, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5248, kappa: 0.2656, kb_relative_information_score: 465.3858, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5299, predictive_accuracy: 0.5234, prior_entropy: 1.5392, recall: 0.5234, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.2145,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.4543, kappa: 0.1557, kb_relative_information_score: 343.6476, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4567, predictive_accuracy: 0.4691, prior_entropy: 1.5392, recall: 0.4691, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5949, root_relative_squared_error: 1.2818,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.4421, kappa: 0.1418, kb_relative_information_score: 315.3193, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4545, predictive_accuracy: 0.4542, prior_entropy: 1.5392, recall: 0.4542, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.49, kappa: 0.2094, kb_relative_information_score: 396.1055, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4909, predictive_accuracy: 0.4902, prior_entropy: 1.5392, recall: 0.4902, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.583, root_relative_squared_error: 1.2562,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.3684, kappa: 0.0165, kb_relative_information_score: 159.1224, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3709, predictive_accuracy: 0.3788, prior_entropy: 1.5392, recall: 0.3788, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6435, root_relative_squared_error: 1.3866,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5098, kappa: 0.2426, kb_relative_information_score: 434.6786, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5143, predictive_accuracy: 0.5078, prior_entropy: 1.5392, recall: 0.5078, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.5409, kappa: 0.289, kb_relative_information_score: 501.5249, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5408, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5527, root_relative_squared_error: 1.1909,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.5007, kappa: 0.2255, kb_relative_information_score: 419.09, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.502, predictive_accuracy: 0.5017, prior_entropy: 1.5392, recall: 0.5017, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.5507, kappa: 0.3034, kb_relative_information_score: 523.3715, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.55, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.5385, kappa: 0.2847, kb_relative_information_score: 498.5918, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5378, predictive_accuracy: 0.5431, prior_entropy: 1.5392, recall: 0.5431, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.5419, kappa: 0.291, kb_relative_information_score: 503.4026, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5443, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.4671, kappa: 0.1779, kb_relative_information_score: 352.3619, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4682, predictive_accuracy: 0.4671, prior_entropy: 1.5392, recall: 0.4671, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5961, root_relative_squared_error: 1.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.4808, kappa: 0.1981, kb_relative_information_score: 380.4345, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4809, predictive_accuracy: 0.4813, prior_entropy: 1.5392, recall: 0.4813, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.588, root_relative_squared_error: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.5332, kappa: 0.2773, kb_relative_information_score: 483.8399, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5348, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.558, root_relative_squared_error: 1.2023,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, kappa: 0.0382, kb_relative_information_score: 250.4285, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4413, prior_entropy: 1.5392, recall: 0.4413, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6103, root_relative_squared_error: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.4012, kappa: 0.0586, kb_relative_information_score: 219.4485, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4083, predictive_accuracy: 0.4073, prior_entropy: 1.5392, recall: 0.4073, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6286, root_relative_squared_error: 1.3544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4445, f_measure: 0.2497, kappa: -0.1109, kb_relative_information_score: -97.1908, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.2794, predictive_accuracy: 0.2471, prior_entropy: 1.5392, recall: 0.2471, relative_absolute_error: 1.165, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.5265,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 219.2112, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4277, prior_entropy: 1.5392, recall: 0.4277, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6177, root_relative_squared_error: 1.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4393, f_measure: 0.2576, kappa: -0.1206, kb_relative_information_score: -96.7137, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.275, predictive_accuracy: 0.2492, prior_entropy: 1.5392, recall: 0.2492, relative_absolute_error: 1.1619, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.7075, root_relative_squared_error: 1.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.4614, kappa: 0.1648, kb_relative_information_score: 350.3986, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4607, predictive_accuracy: 0.4711, prior_entropy: 1.5392, recall: 0.4711, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5938, root_relative_squared_error: 1.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.4449, kappa: 0.1452, kb_relative_information_score: 334.8059, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4513, predictive_accuracy: 0.4664, prior_entropy: 1.5392, recall: 0.4664, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,

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