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: 0.8187, f_measure: 0.7506, kappa: 0.4424, kb_relative_information_score: 213.0546, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7503, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.849, scimark_benchmark: 1284.3257, usercpu_time_millis: 29.916, usercpu_time_millis_testing: 3.595, usercpu_time_millis_training: 26.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 247.5403, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7691, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1274.2743, usercpu_time_millis: 41.134, usercpu_time_millis_testing: 3.579, usercpu_time_millis_training: 37.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7128, kappa: 0.3588, kb_relative_information_score: 131.6655, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.711, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.916, scimark_benchmark: 1282.5196, usercpu_time_millis: 7.073, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 6.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7568, kappa: 0.4558, kb_relative_information_score: 239.092, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1276.9529, usercpu_time_millis: 5.433, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 5.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.763, kappa: 0.472, kb_relative_information_score: 253.3968, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7621, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1278.9946, usercpu_time_millis: 28.911, usercpu_time_millis_testing: 2.028, usercpu_time_millis_training: 26.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7678, kappa: 0.4819, kb_relative_information_score: 236.8973, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8284, scimark_benchmark: 1262.4756, usercpu_time_millis: 32.095, usercpu_time_millis_testing: 3.309, usercpu_time_millis_training: 28.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.6172, kappa: 0.1708, kb_relative_information_score: 96.1358, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9104, scimark_benchmark: 1292.6053, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7472, kappa: 0.4316, kb_relative_information_score: 177.6752, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593, scimark_benchmark: 1284.7503, usercpu_time_millis: 0.775, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 221.4029, mean_absolute_error: 0.3301, 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: 0.7263, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8416, scimark_benchmark: 1279.1229, usercpu_time_millis: 1.221, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: -0.1285, 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: 1279.1883, usercpu_time_millis: 4.917, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 4.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 237.1955, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1262.7856, usercpu_time_millis: 25.309, usercpu_time_millis_testing: 2.577, usercpu_time_millis_training: 22.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7675, kappa: 0.4798, kb_relative_information_score: 231.9599, mean_absolute_error: 0.3249, 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: 0.7148, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8277, scimark_benchmark: 1277.3801, usercpu_time_millis: 20.24, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 18.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7514, kappa: 0.4484, kb_relative_information_score: 259.3936, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1276.6815, usercpu_time_millis: 39.858, usercpu_time_millis_testing: 2.64, usercpu_time_millis_training: 37.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 234.8282, mean_absolute_error: 0.323, 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: 0.7108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1290.0688, usercpu_time_millis: 24.398, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 22.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7676, kappa: 0.4831, kb_relative_information_score: 250.5942, mean_absolute_error: 0.3111, 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: 0.6845, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1270.2085, usercpu_time_millis: 25.936, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 23.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7494, kappa: 0.4378, kb_relative_information_score: 210.2776, mean_absolute_error: 0.3388, 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: 0.7455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8374, scimark_benchmark: 1276.9399, usercpu_time_millis: 7.865, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 7.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 243.4724, mean_absolute_error: 0.3172, 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: 0.6979, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1276.9181, usercpu_time_millis: 20.227, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 18.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7753, kappa: 0.5018, kb_relative_information_score: 260.4421, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7743, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1292.8911, usercpu_time_millis: 45.159, usercpu_time_millis_testing: 3.49, usercpu_time_millis_training: 41.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7457, kappa: 0.4271, kb_relative_information_score: 167.1487, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8588, scimark_benchmark: 1280.8234, usercpu_time_millis: 10.895, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 9.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7524, kappa: 0.4448, kb_relative_information_score: 222.868, mean_absolute_error: 0.3309, 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: 0.728, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1292.9613, usercpu_time_millis: 25.862, usercpu_time_millis_testing: 2.589, usercpu_time_millis_training: 23.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7538, kappa: 0.4532, kb_relative_information_score: 259.4161, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7525, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.856, scimark_benchmark: 1269.7114, usercpu_time_millis: 1.883, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 247.0257, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1286.5522, usercpu_time_millis: 26.572, usercpu_time_millis_testing: 2.649, usercpu_time_millis_training: 23.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1319, 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: 1270.4928, usercpu_time_millis: 3.552, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 2.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 247.5373, mean_absolute_error: 0.3117, 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: 0.6858, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8416, scimark_benchmark: 1265.5916, usercpu_time_millis: 37.151, usercpu_time_millis_testing: 3.765, usercpu_time_millis_training: 33.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7683, kappa: 0.4838, kb_relative_information_score: 254.2229, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8349, scimark_benchmark: 1280.3782, usercpu_time_millis: 65.408, usercpu_time_millis_testing: 3.826, usercpu_time_millis_training: 61.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 250.811, mean_absolute_error: 0.3115, 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: 0.6853, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1278.0442, usercpu_time_millis: 48.094, usercpu_time_millis_testing: 2.977, usercpu_time_millis_training: 45.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0516, 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: 1280.0524, usercpu_time_millis: 4.728, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 4.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 264.2212, mean_absolute_error: 0.2989, 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: 0.6577, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8452, scimark_benchmark: 1281.6674, usercpu_time_millis: 64.866, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 61.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 248.8474, mean_absolute_error: 0.3131, 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: 0.6889, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8276, scimark_benchmark: 1256.7153, usercpu_time_millis: 18.69, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 17.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7264, kappa: 0.3842, kb_relative_information_score: 149.5793, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7315, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.886, scimark_benchmark: 1279.2266, usercpu_time_millis: 4.789, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 4.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -0.2713, 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: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1295.4439, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 210.8987, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8456, scimark_benchmark: 1290.7523, usercpu_time_millis: 18.055, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 16.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7548, kappa: 0.4478, kb_relative_information_score: 170.1036, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8583, scimark_benchmark: 1297.3181, usercpu_time_millis: 7.444, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 6.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.761, kappa: 0.4653, kb_relative_information_score: 239.3667, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8277, scimark_benchmark: 1301.4976, usercpu_time_millis: 26.714, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 24.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7707, kappa: 0.4887, kb_relative_information_score: 241.2661, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7701, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1317.6237, usercpu_time_millis: 25.69, usercpu_time_millis_testing: 2.688, usercpu_time_millis_training: 23.002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 233.1636, mean_absolute_error: 0.324, 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: 0.7129, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1297.5837, usercpu_time_millis: 11.055, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 10.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 255.4768, mean_absolute_error: 0.3074, 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: 0.6765, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1307.423, usercpu_time_millis: 31.5, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 28.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 240.6012, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7742, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1314.82, usercpu_time_millis: 47.54, usercpu_time_millis_testing: 4.591, usercpu_time_millis_training: 42.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7541, kappa: 0.4542, kb_relative_information_score: 265.1172, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1305.272, usercpu_time_millis: 57.856, usercpu_time_millis_testing: 3.446, usercpu_time_millis_training: 54.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 233.5857, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1302.5962, usercpu_time_millis: 21.19, usercpu_time_millis_testing: 2.266, usercpu_time_millis_training: 18.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 255.1234, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1309.6093, usercpu_time_millis: 29.31, usercpu_time_millis_testing: 2.158, usercpu_time_millis_training: 27.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 256.0993, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1286.4081, usercpu_time_millis: 17.233, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 16.342,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7404, kappa: 0.4154, kb_relative_information_score: 165.5622, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 1314.9224, usercpu_time_millis: 11.487, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 10.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7621, kappa: 0.4678, kb_relative_information_score: 240.3224, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1304.0965, usercpu_time_millis: 9.816, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 8.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 247.9909, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1299.0001, usercpu_time_millis: 13.371, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 12.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7577, kappa: 0.4602, kb_relative_information_score: 252.7886, mean_absolute_error: 0.31, 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: 0.6821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8282, scimark_benchmark: 1314.894, usercpu_time_millis: 26.705, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 24.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 248.2618, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1312.981, usercpu_time_millis: 22.866, usercpu_time_millis_testing: 1.895, usercpu_time_millis_training: 20.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.5298, kappa: 0.0237, kb_relative_information_score: 66.395, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6883, predictive_accuracy: 0.6563, prior_entropy: 0.9335, recall: 0.6563, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9371, scimark_benchmark: 1290.1145, usercpu_time_millis: 6.21, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 5.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7156, kappa: 0.3597, kb_relative_information_score: 128.4938, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7212, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8994, scimark_benchmark: 1307.3811, usercpu_time_millis: 5.067, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 4.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 263.4583, mean_absolute_error: 0.3005, 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: 0.6611, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8361, scimark_benchmark: 1294.7588, usercpu_time_millis: 30.755, usercpu_time_millis_testing: 2.058, usercpu_time_millis_training: 28.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7727, kappa: 0.494, kb_relative_information_score: 244.653, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7718, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 1312.0549, usercpu_time_millis: 20.055, usercpu_time_millis_testing: 2.023, usercpu_time_millis_training: 18.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7683, kappa: 0.4838, kb_relative_information_score: 247.0031, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, 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: 0.3933, root_relative_squared_error: 0.8252, scimark_benchmark: 1292.8719, usercpu_time_millis: 26.065, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 23.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 253.9437, mean_absolute_error: 0.3093, 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: 0.6805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8247, scimark_benchmark: 1292.0635, usercpu_time_millis: 27.85, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 25.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7741, kappa: 0.4974, kb_relative_information_score: 249.5581, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8301, scimark_benchmark: 1292.5388, usercpu_time_millis: 37.007, usercpu_time_millis_testing: 2.765, usercpu_time_millis_training: 34.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0079, 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: 1306.0153, usercpu_time_millis: 3.266, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 2.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 246.4325, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1299.3705, usercpu_time_millis: 13.584, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 11.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1371, 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: 1290.2895, usercpu_time_millis: 5.509, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 4.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7768, kappa: 0.5032, kb_relative_information_score: 246.2469, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.776, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1299.9344, usercpu_time_millis: 6.967, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 6.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7648, kappa: 0.4738, kb_relative_information_score: 234.0512, mean_absolute_error: 0.323, 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: 0.7108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1314.3448, usercpu_time_millis: 28.122, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 24.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7645, kappa: 0.4728, kb_relative_information_score: 241.8967, mean_absolute_error: 0.3183, 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: 0.7004, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1291.4433, usercpu_time_millis: 33.564, usercpu_time_millis_testing: 2.621, usercpu_time_millis_training: 30.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7265, kappa: 0.3837, kb_relative_information_score: 134.2779, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8936, scimark_benchmark: 1312.7803, usercpu_time_millis: 2.448, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 2.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1844, 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: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1305.6139, usercpu_time_millis: 3.846, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 3.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 252.3107, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1308.5145, usercpu_time_millis: 10.038, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 9.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7651, kappa: 0.4794, kb_relative_information_score: 260.6208, mean_absolute_error: 0.3024, 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: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8406, scimark_benchmark: 1303.569, usercpu_time_millis: 72.787, usercpu_time_millis_testing: 4.839, usercpu_time_millis_training: 67.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7603, kappa: 0.4615, kb_relative_information_score: 195.1809, mean_absolute_error: 0.3476, 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: 0.7647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 1304.4836, usercpu_time_millis: 26.723, usercpu_time_millis_testing: 2.713, usercpu_time_millis_training: 24.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0542, 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: 1308.2038, usercpu_time_millis: 3.751, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 3.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7571, kappa: 0.4549, kb_relative_information_score: 208.9312, mean_absolute_error: 0.3398, 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: 0.7476, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8374, scimark_benchmark: 1302.668, usercpu_time_millis: 7.32, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 6.5,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs