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João Freitas
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João's runs

João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(knei ... ation.KNeighborsClassifier)(2) on task Supervised Classification on data set mozilla4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9303, kappa: 0.8424, kb_relative_information_score: 12026.4397, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9305, predictive_accuracy: 0.9301, prior_entropy: 0.9135, recall: 0.9301, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.492,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(oneh ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3859, kappa: -0.0001, kb_relative_information_score: -123.848, mean_absolute_error: 0.5179, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5008, predictive_accuracy: 0.4822, prior_entropy: 0.9986, recall: 0.4822, relative_absolute_error: 1.0379, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4369,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(oneh ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3859, kappa: -0.0001, kb_relative_information_score: -115.2809, mean_absolute_error: 0.5164, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5008, predictive_accuracy: 0.4822, prior_entropy: 0.9986, recall: 0.4822, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7026, root_relative_squared_error: 1.4066,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(deci ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 3099.9817, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.1892,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(oneh ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -150.7558, mean_absolute_error: 0.5221, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7201, root_relative_squared_error: 1.4417,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(oneh ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4705, kappa: 0.0002, kb_relative_information_score: -73.7598, mean_absolute_error: 0.5103, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5011, predictive_accuracy: 0.4912, prior_entropy: 0.9986, recall: 0.4912, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6984, root_relative_squared_error: 1.3982,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(deci ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 3100.136, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.094, root_relative_squared_error: 0.1881,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.4153, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0307, root_relative_squared_error: 0.0619,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1363.2502, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.0887,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 1284.6695, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9698, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3509,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(robu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.9255, kappa: 0.3332, kb_relative_information_score: -263.277, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9261, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.8858,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(stac ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7991, kappa: 0.1128, kb_relative_information_score: 110.7542, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8506, predictive_accuracy: 0.8544, prior_entropy: 0.622, recall: 0.8544, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9036,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8078, kappa: 0.1528, kb_relative_information_score: 122.6941, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8566, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9008,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8019, kappa: 0.1256, kb_relative_information_score: 125.3298, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8501, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.903,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7954, kappa: 0.3106, kb_relative_information_score: 101.737, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8536,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(bina ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7749, kappa: 0.237, kb_relative_information_score: 43.7754, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9122,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(feat ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.8484, kappa: 0.5108, kb_relative_information_score: 135.5746, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8483, predictive_accuracy: 0.8582, prior_entropy: 0.734, recall: 0.8582, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.8732,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(rfe= ... earn.svm.classes.LinearSVC)(1) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.867, kappa: 0.1463, kb_relative_information_score: 414.4298, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8665, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0522,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(logi ... ogistic.LogisticRegression)(3) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8746, kappa: 0.2135, kb_relative_information_score: -91.3585, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9228,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(logi ... ogistic.LogisticRegression)(3) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8746, kappa: 0.2135, kb_relative_information_score: -92.7911, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.28, root_relative_squared_error: 0.9238,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(robu ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8584, kappa: 0.2247, kb_relative_information_score: -37.0176, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.894, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.8495,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(stac ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.7933, kappa: 0.6048, kb_relative_information_score: 5.8255, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8563, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9919,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(stac ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8892, kappa: 0.7812, kb_relative_information_score: 8.2678, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9078, predictive_accuracy: 0.8899, prior_entropy: 0.9989, recall: 0.8899, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9888,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(stac ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8892, kappa: 0.7812, kb_relative_information_score: 8.2791, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9078, predictive_accuracy: 0.8899, prior_entropy: 0.9989, recall: 0.8899, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9888,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(knei ... ation.KNeighborsClassifier)(2) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8475, kappa: 0.6526, kb_relative_information_score: 326.5608, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8817, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6558,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(deci ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 383.1202, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8095, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.5964,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(deci ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.811, kappa: 0.6223, kb_relative_information_score: 385.242, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8118, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5932,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(deci ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.7985, kappa: 0.5971, kb_relative_information_score: 371.8276, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7987, predictive_accuracy: 0.7986, prior_entropy: 1, recall: 0.7986, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6135,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(feat ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 906.8527, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2403,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8485, kappa: 0.6796, kb_relative_information_score: 1458.3385, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8773, predictive_accuracy: 0.8559, prior_entropy: 0.9674, recall: 0.8559, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7666,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(nyst ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.3092, kappa: -0.0021, kb_relative_information_score: -258.4309, mean_absolute_error: 0.5742, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.542, predictive_accuracy: 0.3854, prior_entropy: 0.9335, recall: 0.3854, relative_absolute_error: 1.2633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.4311,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(nyst ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.5401, kappa: 0.0068, kb_relative_information_score: -37.7957, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5487, predictive_accuracy: 0.5339, prior_entropy: 0.9335, recall: 0.5339, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6466, root_relative_squared_error: 1.3566,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(oneh ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -134.2624, mean_absolute_error: 0.5192, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0405, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6919, root_relative_squared_error: 1.3852,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(oneh ... GradientBoostingClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4371, kappa: 0.0004, kb_relative_information_score: -82.0834, mean_absolute_error: 0.511, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5013, predictive_accuracy: 0.4869, prior_entropy: 0.9986, recall: 0.4869, relative_absolute_error: 1.024, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6832, root_relative_squared_error: 1.3678,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(deci ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 3100.8029, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.1878,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1363.9524, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.0875,
João Freitas 6 years ago
ran flow sklearn.pipeline.Pipeline(grad ... GradientBoostingClassifier)(3) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 1362.9436, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9912, recall: 0.9971, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.049, root_relative_squared_error: 0.0986,