Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 145976 Supervised Classification diabetes 67074 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7361, kappa: 0.4101, kb_relative_information_score: 229.8818, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8665, scimark_benchmark: 1827.9573, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 245.6259, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6991, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9892, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7733, kappa: 0.4947, kb_relative_information_score: 218.9651, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 747.0686, usercpu_time_millis: 1.482, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 258.8995, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1724.0481, usercpu_time_millis: 7.077, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 6.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 192.8448, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8441, scimark_benchmark: 747.6127, usercpu_time_millis: 6.646, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 5.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 241.9418, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1851.0015, usercpu_time_millis: 13.617, usercpu_time_millis_testing: 1.867, usercpu_time_millis_training: 11.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 248.5084, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8418, scimark_benchmark: 747.3972, usercpu_time_millis: 17.947, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 16.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7653, kappa: 0.4803, kb_relative_information_score: 249.3748, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8386, scimark_benchmark: 750.6472, usercpu_time_millis: 26.23, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 24.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.769, kappa: 0.4832, kb_relative_information_score: 198.5969, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8396, scimark_benchmark: 2173.1473, usercpu_time_millis: 2.707, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7466, kappa: 0.4323, kb_relative_information_score: 198.5547, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8492, scimark_benchmark: 1839.0375, usercpu_time_millis: 2.577, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 238.8849, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1844.2371, usercpu_time_millis: 0.845, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 164.8396, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8617, scimark_benchmark: 2154.3638, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6935, kappa: 0.3125, kb_relative_information_score: 125.6574, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7282, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.887, scimark_benchmark: 1844.7605, usercpu_time_millis: 0.346, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.5224, kappa: 0.0145, kb_relative_information_score: 60.3105, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7745, predictive_accuracy: 0.6549, prior_entropy: 0.9335, recall: 0.6549, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9425, scimark_benchmark: 1842.1486, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 222.4799, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 1.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.765, kappa: 0.4734, kb_relative_information_score: 217.2129, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1841.1749, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 1.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7428, kappa: 0.4232, kb_relative_information_score: 189.1865, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8547, scimark_benchmark: 1738.5695, usercpu_time_millis: 2.915, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 2.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7577, kappa: 0.4602, kb_relative_information_score: 248.8321, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1870.1619, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1476, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1729.96, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 224.6492, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1868.7691, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7651, kappa: 0.476, kb_relative_information_score: 198.7255, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8442, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.87, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7571, kappa: 0.4568, kb_relative_information_score: 186.1662, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8461, scimark_benchmark: 1843.1261, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 217.4111, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8372, scimark_benchmark: 1861.3087, usercpu_time_millis: 2.91, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 2.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7289, kappa: 0.3936, kb_relative_information_score: 161.0917, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7281, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8754, scimark_benchmark: 1807.3669, usercpu_time_millis: 2.276, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7162, kappa: 0.362, kb_relative_information_score: 132.2352, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8819, scimark_benchmark: 1868.7691, usercpu_time_millis: 0.752, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7545, kappa: 0.4479, kb_relative_information_score: 174.8626, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8533, scimark_benchmark: 1732.1062, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7121, kappa: 0.3554, kb_relative_information_score: 136.1031, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.711, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9052, scimark_benchmark: 1843.5876, usercpu_time_millis: 0.451, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: -0.0919, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1845.2262, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 198.8386, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8487, scimark_benchmark: 1849.7121, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7544, kappa: 0.4508, kb_relative_information_score: 232.9031, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1736.8008, usercpu_time_millis: 5.746, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 4.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 235.1721, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1848.2615, usercpu_time_millis: 3.591, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 3.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.751, kappa: 0.4402, kb_relative_information_score: 165.7794, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8574, scimark_benchmark: 1731.3119, usercpu_time_millis: 3.699, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 3.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 248.6174, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1846.3843, usercpu_time_millis: 7.986, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 7.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7679, kappa: 0.4861, kb_relative_information_score: 256.448, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7669, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1870.9768, usercpu_time_millis: 4.216, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7606, kappa: 0.467, kb_relative_information_score: 248.2514, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1826.5208, usercpu_time_millis: 5.293, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 4.794,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.755, kappa: 0.458, kb_relative_information_score: 258.2994, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.853, scimark_benchmark: 1258.7018, usercpu_time_millis: 9.033, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 8.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7355, kappa: 0.4072, kb_relative_information_score: 225.8106, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7359, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8578, scimark_benchmark: 1759.2905, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7403, kappa: 0.4213, kb_relative_information_score: 235.2531, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.739, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 1760.5675, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7268, kappa: 0.3907, kb_relative_information_score: 244.3807, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7252, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9279, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7011, kappa: 0.3363, kb_relative_information_score: 247.9739, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6991, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1406, scimark_benchmark: 1763.0768, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 223.6798, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555, scimark_benchmark: 1060.9713, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7433, kappa: 0.4236, kb_relative_information_score: 224.0646, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559, scimark_benchmark: 1760.1004, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7361, kappa: 0.4101, kb_relative_information_score: 229.8818, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8665, scimark_benchmark: 1063.649, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7346, kappa: 0.4066, kb_relative_information_score: 231.5533, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8698, scimark_benchmark: 1874.5882, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7268, kappa: 0.3907, kb_relative_information_score: 242.6314, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7252, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9125, scimark_benchmark: 1756.2537, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7382, kappa: 0.4133, kb_relative_information_score: 226.6763, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7387, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593, scimark_benchmark: 1134.0428, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7321, kappa: 0.4025, kb_relative_information_score: 241.2021, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9019, scimark_benchmark: 1981.1311, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7369, kappa: 0.4115, kb_relative_information_score: 228.6806, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8635, scimark_benchmark: 1874.977, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7403, kappa: 0.4213, kb_relative_information_score: 235.2531, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.739, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6456, kappa: 0.2141, kb_relative_information_score: 51.6092, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6985, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9483, scimark_benchmark: 1273.597, usercpu_time_millis: 14.709, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 14.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7459, kappa: 0.4341, kb_relative_information_score: 247.9836, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8518, scimark_benchmark: 1241.943, usercpu_time_millis: 42.03, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 41.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.765, kappa: 0.4734, kb_relative_information_score: 240.1807, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8341, scimark_benchmark: 1268.9584, usercpu_time_millis: 28.394, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 28.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6456, kappa: 0.2141, kb_relative_information_score: 57.9594, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6985, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9427, scimark_benchmark: 1252.9014, usercpu_time_millis: 20.791, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 20.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 247.6873, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 1271.0161, usercpu_time_millis: 27, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 26.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.72, kappa: 0.3691, kb_relative_information_score: 122.4179, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.737, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8935, scimark_benchmark: 1247.6464, usercpu_time_millis: 4.092, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 4.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5181, kappa: 0.0045, kb_relative_information_score: -16.2345, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5988, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9953, scimark_benchmark: 1249.9853, usercpu_time_millis: 4.322, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 4.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 231.3553, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8378, scimark_benchmark: 1269.6527, usercpu_time_millis: 6.445, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.5461, kappa: 0.0497, kb_relative_information_score: -8.236, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7089, predictive_accuracy: 0.6628, prior_entropy: 0.9335, recall: 0.6628, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9877, scimark_benchmark: 1264.5964, usercpu_time_millis: 11.845, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 11.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 249.0514, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1274.5012, usercpu_time_millis: 12.759, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 12.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6537, kappa: 0.2287, kb_relative_information_score: 68.1013, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6979, predictive_accuracy: 0.7005, prior_entropy: 0.9335, recall: 0.7005, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9348, scimark_benchmark: 1269.6812, usercpu_time_millis: 13.444, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 13.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7324, kappa: 0.3976, kb_relative_information_score: 128.4271, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7589, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8897, scimark_benchmark: 1275.0308, usercpu_time_millis: 16.243, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 16.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7677, kappa: 0.4779, kb_relative_information_score: 209.7873, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7735, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413, scimark_benchmark: 1264.899, usercpu_time_millis: 21.577, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 21.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7545, kappa: 0.4473, kb_relative_information_score: 185.0207, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8532, scimark_benchmark: 1270.0293, usercpu_time_millis: 18.17, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 18.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1318, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1250.33, usercpu_time_millis: 27.931, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1265.5249, usercpu_time_millis: 34.361, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 34.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.5547, kappa: 0.0606, kb_relative_information_score: 0.7791, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6849, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9829, scimark_benchmark: 1251.4089, usercpu_time_millis: 13.463, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 13.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7135, kappa: 0.3554, kb_relative_information_score: 115.8489, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7403, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8968, scimark_benchmark: 1277.2862, usercpu_time_millis: 18.032, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 17.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.735, kappa: 0.413, kb_relative_information_score: 239.056, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7337, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9201, scimark_benchmark: 1270.0978, usercpu_time_millis: 19.328, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 19.113,

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