OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.729, kappa: 0.3895, kb_relative_information_score: 137.8838, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.877, scimark_benchmark: 1873.019, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7371, kappa: 0.4093, kb_relative_information_score: 170.3444, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7399, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8655, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.773, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7594, kappa: 0.4645, kb_relative_information_score: 233.9626, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1854.3736, usercpu_time_millis: 2.135, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7422, kappa: 0.4191, kb_relative_information_score: 152.3152, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8688, scimark_benchmark: 1865.8853, usercpu_time_millis: 2.403, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 2.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7672, kappa: 0.4834, kb_relative_information_score: 252.5704, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1865.4271, usercpu_time_millis: 9.564, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 8.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.771, kappa: 0.4917, kb_relative_information_score: 240.7738, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.77, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1873.5991, usercpu_time_millis: 10.212, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 8.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 200.7576, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.249, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 216.5361, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.024, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7509, kappa: 0.4413, kb_relative_information_score: 208.411, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 1871.5019, usercpu_time_millis: 3.239, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7598, kappa: 0.4677, kb_relative_information_score: 246.7523, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 1863.9794, usercpu_time_millis: 5.157, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 4.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 219.4761, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1849.802, usercpu_time_millis: 1.377, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7577, kappa: 0.4574, kb_relative_information_score: 203.2168, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8485, scimark_benchmark: 1868.6447, usercpu_time_millis: 2.582, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 2.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.668, kappa: 0.263, kb_relative_information_score: 107.8729, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9014, scimark_benchmark: 1859.7394, usercpu_time_millis: 1.416, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 242.2785, mean_absolute_error: 0.3159, 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: 0.6951, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 233.4369, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7544, kappa: 0.4489, kb_relative_information_score: 208.7154, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1871.576, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 230.5544, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1868.1832, usercpu_time_millis: 6.149, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 5.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.3774, 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: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.121, mean_absolute_error: 0.4543, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1854.2319, usercpu_time_millis: 0.129, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 246.1257, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8257, scimark_benchmark: 1860.3387, usercpu_time_millis: 3.39, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 240.4416, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1865.6428, usercpu_time_millis: 2.684, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.0837, 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: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1829.609, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7304, kappa: 0.3938, kb_relative_information_score: 157.8306, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7342, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8784, scimark_benchmark: 1869.9448, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 231.3286, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1870.8114, usercpu_time_millis: 6.648, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 5.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.0637, 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: 1859.3512, usercpu_time_millis: 0.993, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7657, kappa: 0.4779, kb_relative_information_score: 237.6788, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7648, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1867.725, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 3.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7696, kappa: 0.4883, kb_relative_information_score: 232.1303, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8351, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.373, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 234.7406, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1869.6309, usercpu_time_millis: 8.374, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 7.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 238.8711, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1820.877, usercpu_time_millis: 8.074, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 7.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7667, kappa: 0.4837, kb_relative_information_score: 248.9496, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8379, scimark_benchmark: 1843.7454, usercpu_time_millis: 9.629, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 8.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7698, kappa: 0.4892, kb_relative_information_score: 244.893, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8553, scimark_benchmark: 1841.2845, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 240.171, mean_absolute_error: 0.3188, 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: 0.7014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1856.5802, usercpu_time_millis: 5.708, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 5.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 229.3176, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8341, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7513, kappa: 0.4423, kb_relative_information_score: 219.4941, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 1866.2865, usercpu_time_millis: 3.731, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 3.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7141, kappa: 0.3567, kb_relative_information_score: 136.44, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7396, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8799, scimark_benchmark: 1851.28, usercpu_time_millis: 1.357, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.138,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7568, kappa: 0.4587, kb_relative_information_score: 257.5823, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1873.9387, usercpu_time_millis: 8.498, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 7.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7521, kappa: 0.4438, kb_relative_information_score: 209.2318, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7541, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8377, scimark_benchmark: 1826.1793, usercpu_time_millis: 2.342, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 2.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7595, kappa: 0.4618, kb_relative_information_score: 193.8092, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8421, scimark_benchmark: 1824.7316, usercpu_time_millis: 2.643, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 2.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7543, kappa: 0.4494, kb_relative_information_score: 237.2733, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1755.2194, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7493, kappa: 0.4384, kb_relative_information_score: 224.7403, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1823.1744, usercpu_time_millis: 2.821, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7568, kappa: 0.4587, kb_relative_information_score: 233.8722, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1860.4615, usercpu_time_millis: 6.069, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 5.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7468, kappa: 0.4305, kb_relative_information_score: 176.6316, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7518, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8544, scimark_benchmark: 1758.1355, usercpu_time_millis: 2.031, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7658, kappa: 0.48, kb_relative_information_score: 247.9379, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1755.8855, usercpu_time_millis: 4.363, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 208.2781, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1758.2741, usercpu_time_millis: 3.328, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 2.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7523, kappa: 0.4498, kb_relative_information_score: 248.3892, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.751, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1824.0941, usercpu_time_millis: 5.291, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 4.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 240.044, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1867.725, usercpu_time_millis: 8.25, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 7.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 248.2945, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, scimark_benchmark: 1758.5397, usercpu_time_millis: 7.27, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 6.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7527, kappa: 0.4532, kb_relative_information_score: 253.3736, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8587, scimark_benchmark: 1863.9794, usercpu_time_millis: 16.516, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 14.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7641, kappa: 0.4757, kb_relative_information_score: 234.7911, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1888.7521, usercpu_time_millis: 10.216, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 8.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7194, kappa: 0.3812, kb_relative_information_score: 243.7604, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7189, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9036, scimark_benchmark: 1753.4336, usercpu_time_millis: 10.478, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 9.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7245, kappa: 0.3898, kb_relative_information_score: 246.9504, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7231, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8914, scimark_benchmark: 1863.9124, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7609, kappa: 0.4639, kb_relative_information_score: 212.3361, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1868.6447, usercpu_time_millis: 2.384, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 241.7767, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1860.8554, usercpu_time_millis: 2.574, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7676, kappa: 0.4831, kb_relative_information_score: 224.2564, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1868.1832, usercpu_time_millis: 8.392, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 7.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7667, kappa: 0.4837, kb_relative_information_score: 250.7617, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8436, scimark_benchmark: 1132.2922, usercpu_time_millis: 19.754, usercpu_time_millis_testing: 2.387, usercpu_time_millis_training: 17.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.761, kappa: 0.4635, kb_relative_information_score: 180.888, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8506, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 241.6309, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.369, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 244.8303, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7609, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1858.6775, usercpu_time_millis: 4.003, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 3.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1432, 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: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.5555, kappa: 0.0632, kb_relative_information_score: 75.616, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6973, predictive_accuracy: 0.6654, prior_entropy: 0.9335, recall: 0.6654, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9287, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7663, kappa: 0.4785, kb_relative_information_score: 227.292, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7196, kappa: 0.3699, kb_relative_information_score: 122.0703, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8928, scimark_benchmark: 1830.0638, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7506, kappa: 0.4403, kb_relative_information_score: 202.015, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8441, scimark_benchmark: 1851.8968, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.6997, kappa: 0.3257, kb_relative_information_score: 111.7258, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9029, scimark_benchmark: 1840.05, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7589, kappa: 0.4613, kb_relative_information_score: 233.3567, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1835.621, usercpu_time_millis: 2.691, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 2.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0549, 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: 1864.5074, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 219.3489, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1828.686, usercpu_time_millis: 2.77, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 2.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7658, kappa: 0.48, kb_relative_information_score: 246.7651, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1847.8034, usercpu_time_millis: 4.96, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 4.482,

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