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Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8557, kappa: 0.8503, kb_relative_information_score: 0.8179, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.074, weighted_recall: 0.8561, number_of_instances: 20000, precision: 0.857, predictive_accuracy: 0.8561, prior_entropy: 4.6998, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.5533, unweighted_recall: 0.855,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9646, kappa: 0.6306, kb_relative_information_score: 0.306, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9639, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7766,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8475, kappa: 0.6583, kb_relative_information_score: 0.5312, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.229, weighted_recall: 0.8536, number_of_instances: 1728, precision: 0.848, predictive_accuracy: 0.8536, prior_entropy: 1.2058, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7358, unweighted_recall: 0.749,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8899, kappa: 0.8722, kb_relative_information_score: 0.8212, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8905, number_of_instances: 2310, precision: 0.8905, predictive_accuracy: 0.8905, prior_entropy: 2.8074, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4702, unweighted_recall: 0.8905,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.613, kappa: 0.0332, kb_relative_information_score: 0.0603, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.669, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9446, unweighted_recall: 0.512,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9043, kappa: 0.8057, kb_relative_information_score: 0.7078, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9046, number_of_instances: 11055, precision: 0.9048, predictive_accuracy: 0.9046, prior_entropy: 0.9906, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.5482, unweighted_recall: 0.901,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9668, kappa: 0.9336, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.499, weighted_recall: 0.9668, number_of_instances: 3196, precision: 0.9671, predictive_accuracy: 0.9668, prior_entropy: 0.9986, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3309, unweighted_recall: 0.9673,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.18, weighted_recall: 0.9842, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, unweighted_recall: 0.9841,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9148, kappa: 0.8419, kb_relative_information_score: 0.7668, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9289, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4768, unweighted_recall: 0.8764,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8399, kappa: 0.8233, kb_relative_information_score: 0.7543, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, weighted_recall: 0.841, number_of_instances: 2000, precision: 0.8409, predictive_accuracy: 0.841, prior_entropy: 3.3219, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5743, unweighted_recall: 0.841,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9442, kappa: 0.9379, kb_relative_information_score: 0.8481, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, weighted_recall: 0.9441, number_of_instances: 1593, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 3.3218, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.126, root_relative_squared_error: 0.4199, unweighted_recall: 0.9439,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9491, kappa: 0.8753, kb_relative_information_score: 0.8192, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9492, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9492, prior_entropy: 0.863, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4264, unweighted_recall: 0.9371,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9177, kappa: 0.1594, kb_relative_information_score: -0.2382, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9376, number_of_instances: 2534, precision: 0.9169, predictive_accuracy: 0.9376, prior_entropy: 0.3398, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.877, unweighted_recall: 0.55,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.3857, kappa: 0.1773, kb_relative_information_score: 0.1524, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4743, number_of_instances: 6118, precision: 0.45, predictive_accuracy: 0.4743, prior_entropy: 2.3, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9594, unweighted_recall: 0.2615,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 0.9426, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9847, number_of_instances: 1372, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9911, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.2019, unweighted_recall: 0.9861,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.689, kappa: 0.0765, kb_relative_information_score: 0.048, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.363, weighted_recall: 0.7647, number_of_instances: 748, precision: 0.7173, predictive_accuracy: 0.7647, prior_entropy: 0.7916, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9636, unweighted_recall: 0.5269,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8666, kappa: 0.8402, kb_relative_information_score: 0.7832, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8711, number_of_instances: 6430, precision: 0.8648, predictive_accuracy: 0.8711, prior_entropy: 2.4834, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5141, unweighted_recall: 0.831,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9032, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3057, unweighted_recall: 0.9785,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.8959, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, weighted_recall: 0.976, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3257, unweighted_recall: 0.976,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.555, kappa: 0.11, kb_relative_information_score: 0.021, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, weighted_recall: 0.555, number_of_instances: 2600, precision: 0.555, predictive_accuracy: 0.555, prior_entropy: 1, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, unweighted_recall: 0.555,
Nicolas Hug 5 years ago
ran flow sklearn.calibration.Calibrated ... =sklearn.svm._classes.SVC))(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9159, kappa: 0.9052, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9157, number_of_instances: 1080, precision: 0.9176, predictive_accuracy: 0.9157, prior_entropy: 3.1699, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.4131, unweighted_recall: 0.9157,