OpenML
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: 0.6818, f_measure: 0.7298, kappa: 0.3918, kb_relative_information_score: 316.6616, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7361, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0626, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7404, kappa: 0.4154, kb_relative_information_score: 334.9783, mean_absolute_error: 0.2461, 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: 0.5415, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0408, usercpu_time_millis: 87.161, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 86.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.7409, kappa: 0.4217, kb_relative_information_score: 321.2408, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0572, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 364.7429, mean_absolute_error: 0.2292, 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: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043, usercpu_time_millis: 7.663, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 7.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 351.0054, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213, usercpu_time_millis: 6.68, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 5.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 307.5032, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0733, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7505, kappa: 0.4408, kb_relative_information_score: 341.8471, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0325, usercpu_time_millis: 6.781, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 6.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 355.5846, mean_absolute_error: 0.2344, 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: 0.5157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0157, usercpu_time_millis: 43.183, usercpu_time_millis_testing: 9.07, usercpu_time_millis_training: 34.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7453, kappa: 0.4378, kb_relative_information_score: 321.2408, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0572, usercpu_time_millis: 405.421, usercpu_time_millis_testing: 6.326, usercpu_time_millis_training: 399.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.774, kappa: 0.4942, kb_relative_information_score: 380.77, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7751, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9842, usercpu_time_millis: 42.501, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 42.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, 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: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.76, kappa: 0.4624, kb_relative_information_score: 357.8742, mean_absolute_error: 0.2331, 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: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1805, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.1218, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928, usercpu_time_millis: 0.594, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.754, kappa: 0.4484, kb_relative_information_score: 348.7158, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.698, kappa: 0.3243, kb_relative_information_score: 250.2635, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6961, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.1381, usercpu_time_millis: 1.517, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7276, kappa: 0.392, kb_relative_information_score: 298.3449, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7262, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0839, usercpu_time_millis: 17.059, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 16.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.771, kappa: 0.4917, kb_relative_information_score: 369.3221, mean_absolute_error: 0.2266, 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: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986, usercpu_time_millis: 12.157, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 9.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.695, kappa: 0.3283, kb_relative_information_score: 231.2775, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6948, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.1564, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 267.1471, mean_absolute_error: 0.3001, 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: 0.6603, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8519, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7351, kappa: 0.4113, kb_relative_information_score: 243.1043, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7335, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8723, scimark_benchmark: 1336.8944, usercpu_time_millis: 156.001, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 124.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 267.1471, mean_absolute_error: 0.3001, 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: 0.6603, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8519, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 267.1471, mean_absolute_error: 0.3001, 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: 0.6603, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8519, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 1851.1033, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.695, kappa: 0.3283, kb_relative_information_score: 231.2775, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6948, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.1564, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 257.3874, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343, scimark_benchmark: 1851.1033, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 140.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7351, kappa: 0.4113, kb_relative_information_score: 243.1043, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7335, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8723, scimark_benchmark: 1850.8887, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 140.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7355, kappa: 0.4057, kb_relative_information_score: 243.7706, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.883, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.7583, kappa: 0.4575, kb_relative_information_score: 357.8742, mean_absolute_error: 0.2331, 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: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129, usercpu_time_millis: 1.16, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 236.4824, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 236.4824, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 236.4824, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 236.3946, mean_absolute_error: 0.316, 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: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8674, usercpu_time_millis: 0.63, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 236.4824, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 236.3946, mean_absolute_error: 0.316, 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: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8674, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 236.4824, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 236.3946, mean_absolute_error: 0.316, 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: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8674, usercpu_time_millis: 0.144, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7339, kappa: 0.4071, kb_relative_information_score: 236.4824, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7324, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 236.3946, mean_absolute_error: 0.316, 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: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8674, usercpu_time_millis: 0.16, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.7506, kappa: 0.4397, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7406, kappa: 0.4223, kb_relative_information_score: 318.9512, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7392, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 271.7697, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9253, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7666, kappa: 0.4769, kb_relative_information_score: 283.7629, mean_absolute_error: 0.2898, 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: 0.6376, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8585, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7572, kappa: 0.4545, kb_relative_information_score: 241.6435, mean_absolute_error: 0.319, 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: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1732.2066, usercpu_time_millis: 265.2017, usercpu_time_millis_training: 265.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7448, kappa: 0.4383, kb_relative_information_score: 248.9873, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7448, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8814, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7306, kappa: 0.399, kb_relative_information_score: 233.2368, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7291, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8951, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, 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: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7684, kappa: 0.4826, kb_relative_information_score: 369.3221, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.7562, kappa: 0.4567, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, 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: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 355.5846, mean_absolute_error: 0.2344, 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: 0.5157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7354, kappa: 0.4105, kb_relative_information_score: 232.0529, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9009, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7336, kappa: 0.406, kb_relative_information_score: 232.9607, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7321, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.905, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7056, kappa: 0.3374, kb_relative_information_score: 219.5658, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7091, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7503, kappa: 0.4381, kb_relative_information_score: 246.4142, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8561, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6888, kappa: 0.3, kb_relative_information_score: 248.5867, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7105, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9779, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.6734, kappa: 0.2652, kb_relative_information_score: 214.9053, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6908, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.006, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 201.2167, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9022, scimark_benchmark: 835.1302, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7592, kappa: 0.4581, kb_relative_information_score: 364.7429, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, 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: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1232.7712, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7674, kappa: 0.4785, kb_relative_information_score: 239.8015, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.841, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7698, kappa: 0.486, kb_relative_information_score: 244.9049, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8443, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7523, kappa: 0.4498, kb_relative_information_score: 204.8967, mean_absolute_error: 0.3438, 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: 0.7564, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9015, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7538, kappa: 0.4489, kb_relative_information_score: 269.9197, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8446, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7559, kappa: 0.4543, kb_relative_information_score: 252.9225, mean_absolute_error: 0.3134, 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: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8488, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7482, kappa: 0.4374, kb_relative_information_score: 271.2889, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7477, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8525, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 271.7697, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9253, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7705, kappa: 0.4899, kb_relative_information_score: 258.1314, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7695, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7458, kappa: 0.4397, kb_relative_information_score: 252.8852, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7454, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8788, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7365, kappa: 0.4147, kb_relative_information_score: 193.0174, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.735, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9118, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7482, kappa: 0.4374, kb_relative_information_score: 271.2889, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7477, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8525, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.151, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7559, kappa: 0.4543, kb_relative_information_score: 252.9225, mean_absolute_error: 0.3134, 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: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8488, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, 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: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, 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: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 271.7697, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9253, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7663, kappa: 0.4818, kb_relative_information_score: 255.0049, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8406, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 171.875,

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