Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 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: 0.8126, f_measure: 0.7412, kappa: 0.4175, kb_relative_information_score: 152.264, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.748, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8719, scimark_benchmark: 1862.0869, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7695, kappa: 0.4863, kb_relative_information_score: 215.2333, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.737, 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: 2.857, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 247.6724, mean_absolute_error: 0.3133, 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: 0.6894, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1859.4881, usercpu_time_millis: 7.306, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 6.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 249.1104, mean_absolute_error: 0.3105, 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: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8393, scimark_benchmark: 1863.0756, usercpu_time_millis: 5.45, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 4.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 207.0363, mean_absolute_error: 0.3387, 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: 0.7453, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.844, scimark_benchmark: 1862.0186, usercpu_time_millis: 10.26, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 8.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7312, kappa: 0.4012, kb_relative_information_score: 189.4304, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7296, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8805, scimark_benchmark: 1869.2273, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1076, 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: 1873.9908, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 227.3728, mean_absolute_error: 0.3274, 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: 0.7205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7459, kappa: 0.4303, kb_relative_information_score: 184.9636, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8565, scimark_benchmark: 1861.2508, usercpu_time_millis: 2.212, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 225.5917, mean_absolute_error: 0.3285, 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: 0.7227, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1130.8396, usercpu_time_millis: 6.491, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 5.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7481, kappa: 0.4445, kb_relative_information_score: 252.8634, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8664, scimark_benchmark: 1840.3078, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7586, kappa: 0.4603, kb_relative_information_score: 194.9339, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8427, scimark_benchmark: 1843.8137, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.1635, mean_absolute_error: 0.4545, 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: 1866.0766, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7402, kappa: 0.4165, kb_relative_information_score: 187.4141, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7428, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8549, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.228, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7501, kappa: 0.4398, kb_relative_information_score: 204.5709, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8454, scimark_benchmark: 1860.2646, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7138, kappa: 0.3706, kb_relative_information_score: 245.4543, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.714, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9059, scimark_benchmark: 1871.8506, usercpu_time_millis: 2.941, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 2.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7393, kappa: 0.4136, kb_relative_information_score: 175.2722, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7447, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8569, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.969, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7713, kappa: 0.4894, kb_relative_information_score: 239.7226, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7712, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8261, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7692, kappa: 0.4853, kb_relative_information_score: 228.0533, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8305, scimark_benchmark: 1865.4271, usercpu_time_millis: 0.977, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: 0.4636, mean_absolute_error: 0.4542, 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: 0.9994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1866.6261, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0938, 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: 1868.2531, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 251.177, mean_absolute_error: 0.3109, 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: 0.6842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1861.5647, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7375, kappa: 0.4104, kb_relative_information_score: 165.87, mean_absolute_error: 0.3644, 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: 0.8017, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8662, scimark_benchmark: 1860.9838, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7516, kappa: 0.4433, kb_relative_information_score: 217.4598, mean_absolute_error: 0.3341, 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: 0.7351, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1866.4162, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 254.9588, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8536, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.316, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 2.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 234.115, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7302, kappa: 0.3924, kb_relative_information_score: 135.5137, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8812, scimark_benchmark: 1862.0869, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7672, kappa: 0.4834, kb_relative_information_score: 246.8696, mean_absolute_error: 0.3128, 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: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 1870.4545, usercpu_time_millis: 3.905, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 3.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7555, kappa: 0.4576, kb_relative_information_score: 250.666, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1872.5609, usercpu_time_millis: 2.456, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 215.1507, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8352, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 2.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6878, kappa: 0.3016, kb_relative_information_score: 118.5978, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7316, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8929, scimark_benchmark: 1857.7284, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 255.7788, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1872.8797, usercpu_time_millis: 6.512, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 5.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7619, kappa: 0.4682, kb_relative_information_score: 223.8848, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1870.4029, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 2.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7165, kappa: 0.3635, kb_relative_information_score: 119.1654, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7552, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.895, scimark_benchmark: 1858.1823, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 195.3874, mean_absolute_error: 0.348, 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: 0.7656, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8412, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.333, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 2.794,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7651, kappa: 0.4794, kb_relative_information_score: 247.7841, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1874.4489, usercpu_time_millis: 11.855, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 10.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 245.2916, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1863.3419, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.4989, mean_absolute_error: 0.4542, 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: 0.9993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 215.828, mean_absolute_error: 0.3349, 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: 0.7368, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 1862.4223, usercpu_time_millis: 3.443, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7686, kappa: 0.4847, kb_relative_information_score: 235.1001, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7677, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1859.5273, usercpu_time_millis: 2.837, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 2.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 245.1361, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.766, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1869.6309, usercpu_time_millis: 6.669, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 5.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7133, kappa: 0.3578, kb_relative_information_score: 135.5484, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7123, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9071, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.182, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 231.6017, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.766, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1868.1832, usercpu_time_millis: 4.65, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7629, kappa: 0.4754, kb_relative_information_score: 255.2753, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7619, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1874.0573, usercpu_time_millis: 12.968, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 11.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7666, kappa: 0.4769, kb_relative_information_score: 213.9443, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1863.9794, usercpu_time_millis: 4.346, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 3.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 211.2709, mean_absolute_error: 0.3374, 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: 0.7424, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8414, scimark_benchmark: 1838.0772, usercpu_time_millis: 0.554, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 200.0314, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1846.7651, usercpu_time_millis: 2.298, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 1.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 229.5428, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1867.6156, usercpu_time_millis: 9.313, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 8.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7689, kappa: 0.4844, kb_relative_information_score: 233.1973, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.834, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 2.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7679, kappa: 0.4861, kb_relative_information_score: 247.4874, mean_absolute_error: 0.3116, 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: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, scimark_benchmark: 1869.6309, usercpu_time_millis: 16.274, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 14.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 239.8501, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1850.6652, usercpu_time_millis: 5.818, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 5.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7573, kappa: 0.4606, kb_relative_information_score: 241.4642, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1851.2072, usercpu_time_millis: 4.071, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 3.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1565, 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: 1860.2646, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7608, kappa: 0.4693, kb_relative_information_score: 241.8495, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1863.9124, usercpu_time_millis: 8.766, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 7.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 238.9274, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1862.2919, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7483, kappa: 0.4335, kb_relative_information_score: 178.2217, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7553, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8517, scimark_benchmark: 1856.7563, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 252.4592, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8349, scimark_benchmark: 1874.4489, usercpu_time_millis: 5.858, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 5.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 242.6102, mean_absolute_error: 0.3172, 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: 0.6978, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8257, scimark_benchmark: 1860.7926, usercpu_time_millis: 1.072, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1519, 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: 1868.5777, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 226.1116, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8334, scimark_benchmark: 1858.0279, usercpu_time_millis: 3.969, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 3.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7595, kappa: 0.4618, kb_relative_information_score: 234.8276, mean_absolute_error: 0.3222, 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: 0.7089, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1844.0458, usercpu_time_millis: 3.108, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0323, 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: 1864.4376, usercpu_time_millis: 0.784, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.758, kappa: 0.4597, kb_relative_information_score: 205.9825, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8449, scimark_benchmark: 1838.7663, usercpu_time_millis: 7.972, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 6.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7675, kappa: 0.4798, kb_relative_information_score: 207.6986, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7313, kappa: 0.395, kb_relative_information_score: 134.7717, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7568, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8808, scimark_benchmark: 1865.1888, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.756, kappa: 0.4558, kb_relative_information_score: 207.3415, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7551, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8454, scimark_benchmark: 1756.2894, usercpu_time_millis: 15.31, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 12.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7646, kappa: 0.4797, kb_relative_information_score: 250.6008, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7638, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 1869.7524, usercpu_time_millis: 8.305, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 7.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5134, kb_relative_information_score: -1.9026, mean_absolute_error: 0.4542, 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: 0.9994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0005, scimark_benchmark: 1867.4545, usercpu_time_millis: 0.061, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.029,

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