Task
Supervised Classification on fri_c3_500_10

Supervised Classification on fri_c3_500_10

Task 3799 Supervised Classification fri_c3_500_10 578 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6159, kappa: 0.2255, kb_relative_information_score: 72.8937, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6157, predictive_accuracy: 0.616, prior_entropy: 0.9945, recall: 0.616, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6265, kappa: 0.2486, kb_relative_information_score: 73.451, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.626, prior_entropy: 0.9945, recall: 0.626, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8797, kappa: 0.7571, kb_relative_information_score: 330.1897, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8804, predictive_accuracy: 0.88, prior_entropy: 0.9945, recall: 0.88, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6119, kappa: 0.2161, kb_relative_information_score: 69.5399, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6119, predictive_accuracy: 0.614, prior_entropy: 0.9945, recall: 0.614, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8516, kappa: 0.7004, kb_relative_information_score: 310.4863, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9945, recall: 0.852, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7078, kappa: 0.4106, kb_relative_information_score: 172.3791, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9945, recall: 0.708, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.884, kappa: 0.7662, kb_relative_information_score: 384.7472, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9945, recall: 0.884, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6445, kappa: 0.2824, kb_relative_information_score: 78.7694, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6464, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9121, kappa: 0.8229, kb_relative_information_score: 345.0279, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9945, recall: 0.912, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7345, kappa: 0.4667, kb_relative_information_score: 222.5433, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7362, predictive_accuracy: 0.734, prior_entropy: 0.9945, recall: 0.734, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.6454, kappa: 0.2839, kb_relative_information_score: 72.5031, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6463, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.726, kappa: 0.4479, kb_relative_information_score: 135.9771, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7261, predictive_accuracy: 0.726, prior_entropy: 0.9945, recall: 0.726, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.6843, kappa: 0.363, kb_relative_information_score: 27.3108, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6879, predictive_accuracy: 0.688, prior_entropy: 0.9945, recall: 0.688, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6346, kappa: 0.2621, kb_relative_information_score: 127.6385, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6345, predictive_accuracy: 0.636, prior_entropy: 0.9945, recall: 0.636, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 331.2452, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9945, recall: 0.87, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8635, kappa: 0.7243, kb_relative_information_score: 182.4411, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8647, predictive_accuracy: 0.864, prior_entropy: 0.9945, recall: 0.864, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3833, kb_relative_information_score: -0.032, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4981, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9081, kappa: 0.8148, kb_relative_information_score: 363.9969, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9082, predictive_accuracy: 0.908, prior_entropy: 0.9945, recall: 0.908, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7094, kappa: 0.4136, kb_relative_information_score: 144.3972, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7093, predictive_accuracy: 0.71, prior_entropy: 0.9945, recall: 0.71, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8462, kappa: 0.6908, kb_relative_information_score: 306.9306, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8473, predictive_accuracy: 0.846, prior_entropy: 0.9945, recall: 0.846, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6308, kappa: 0.2546, kb_relative_information_score: 68.3321, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9945, recall: 0.634, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8821, kappa: 0.7624, kb_relative_information_score: 363.7122, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9945, recall: 0.882, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8821, kappa: 0.7624, kb_relative_information_score: 363.7122, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9945, recall: 0.882, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.62, kappa: 0.2341, kb_relative_information_score: 74.4612, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.62, kappa: 0.2341, kb_relative_information_score: 74.4612, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6308, kappa: 0.2546, kb_relative_information_score: 129.888, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9945, recall: 0.634, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9059, kappa: 0.8101, kb_relative_information_score: 321.1308, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9061, predictive_accuracy: 0.906, prior_entropy: 0.9945, recall: 0.906, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.6094, kappa: 0.212, kb_relative_information_score: 75.1521, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6091, predictive_accuracy: 0.61, prior_entropy: 0.9945, recall: 0.61, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6339, kappa: 0.2612, kb_relative_information_score: 133.9327, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9945, recall: 0.638, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.665, kappa: 0.3237, kb_relative_information_score: 162.2456, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9945, recall: 0.666, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5779, root_relative_squared_error: 1.1604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8302, kappa: 0.6582, kb_relative_information_score: 287.4741, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9945, recall: 0.83, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.62, kappa: 0.2341, kb_relative_information_score: 74.4612, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6991, kappa: 0.4218, kb_relative_information_score: 200.6702, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7427, predictive_accuracy: 0.704, prior_entropy: 0.9945, recall: 0.704, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 38.8824, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6991, kappa: 0.4218, kb_relative_information_score: 200.6702, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7427, predictive_accuracy: 0.704, prior_entropy: 0.9945, recall: 0.704, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 38.8824, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6991, kappa: 0.4218, kb_relative_information_score: 200.6702, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7427, predictive_accuracy: 0.704, prior_entropy: 0.9945, recall: 0.704, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 38.8824, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6991, kappa: 0.4218, kb_relative_information_score: 200.6702, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7427, predictive_accuracy: 0.704, prior_entropy: 0.9945, recall: 0.704, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 38.8824, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7522, kappa: 0.5012, kb_relative_information_score: 164.1824, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7527, predictive_accuracy: 0.752, prior_entropy: 0.9945, recall: 0.752, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8561, kappa: 0.7104, kb_relative_information_score: 277.1404, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8565, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.888, kappa: 0.7744, kb_relative_information_score: 386.7262, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6835, kappa: 0.3652, kb_relative_information_score: 188.5361, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6977, predictive_accuracy: 0.692, prior_entropy: 0.9945, recall: 0.692, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1143, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6287, kappa: 0.2502, kb_relative_information_score: 125.8433, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6285, predictive_accuracy: 0.63, prior_entropy: 0.9945, recall: 0.63, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2213, scimark_benchmark: 1280.301, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7443, kappa: 0.4855, kb_relative_information_score: 241.1171, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.745, predictive_accuracy: 0.744, prior_entropy: 0.9945, recall: 0.744, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0159, scimark_benchmark: 1461.2356, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6861, kappa: 0.3673, kb_relative_information_score: 181.8715, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6861, predictive_accuracy: 0.686, prior_entropy: 0.9945, recall: 0.686, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1226, scimark_benchmark: 1287.5243, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8496, kappa: 0.6965, kb_relative_information_score: 318.4715, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9945, recall: 0.85, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7227, scimark_benchmark: 563.0412, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8516, kappa: 0.7004, kb_relative_information_score: 310.4863, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9945, recall: 0.852, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7202, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6296, kappa: 0.2757, kb_relative_information_score: 68.8262, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6512, predictive_accuracy: 0.632, prior_entropy: 0.9945, recall: 0.632, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9586, scimark_benchmark: 1834.908, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.896, kappa: 0.7902, kb_relative_information_score: 350.0599, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9945, recall: 0.896, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5602, scimark_benchmark: 1834.908, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.896, kappa: 0.7902, kb_relative_information_score: 350.0599, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9945, recall: 0.896, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5602, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.888, kappa: 0.7741, kb_relative_information_score: 355.1502, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5669, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8558, kappa: 0.7089, kb_relative_information_score: 319.5103, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7232, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.627, kappa: 0.2509, kb_relative_information_score: 69.7554, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6359, predictive_accuracy: 0.636, prior_entropy: 0.9945, recall: 0.636, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9574, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6376, kappa: 0.2688, kb_relative_information_score: 77.6244, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6404, predictive_accuracy: 0.642, prior_entropy: 0.9945, recall: 0.642, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9361, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6339, kappa: 0.2612, kb_relative_information_score: 133.9327, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9945, recall: 0.638, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.208, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6308, kappa: 0.2546, kb_relative_information_score: 129.888, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9945, recall: 0.634, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2147, scimark_benchmark: 997.6574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6409, kappa: 0.2751, kb_relative_information_score: 76.7644, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6407, predictive_accuracy: 0.642, prior_entropy: 0.9945, recall: 0.642, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9446, scimark_benchmark: 1149.4129, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8516, kappa: 0.7004, kb_relative_information_score: 310.4863, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9945, recall: 0.852, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7202, scimark_benchmark: 990.0199, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9061, kappa: 0.8109, kb_relative_information_score: 344.8938, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9063, predictive_accuracy: 0.906, prior_entropy: 0.9945, recall: 0.906, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.5467, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8841, kappa: 0.7691, kb_relative_information_score: 385.0752, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.884, prior_entropy: 0.9945, recall: 0.884, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5763, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.6396, kappa: 0.3153, kb_relative_information_score: 157.8618, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6895, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9789, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,

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