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VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7025, kappa: 0.6744, kb_relative_information_score: 0.6936, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7088, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8069, unweighted_recall: 0.707,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, weighted_recall: 0.8048, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9075, unweighted_recall: 0.6517,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.718, kappa: 0.1828, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, weighted_recall: 0.738, number_of_instances: 748, precision: 0.708, predictive_accuracy: 0.738, prior_entropy: 0.7916, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0752, unweighted_recall: 0.5808,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 0.1257, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, unweighted_recall: 0.6047,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0064, unweighted_recall: 0.5975,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 0.0523, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.363, weighted_recall: 0.7139, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7916, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, unweighted_recall: 0.5727,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7116, kappa: 0.1556, kb_relative_information_score: 0.1898, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.363, weighted_recall: 0.7393, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7393, prior_entropy: 0.7916, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.199, unweighted_recall: 0.5662,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9338, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 0.9924, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5246, unweighted_recall: 0.9312,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9338, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 0.9924, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5246, unweighted_recall: 0.9312,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9338, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 0.9924, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5246, unweighted_recall: 0.9312,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
Laurens Krudde 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ation.KNeighborsClassifier)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.6034, kappa: 0.0286, kb_relative_information_score: -0.031, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4202, weighted_recall: 0.62, number_of_instances: 1000, precision: 0.5924, predictive_accuracy: 0.62, prior_entropy: 0.8813, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.1278, unweighted_recall: 0.5133,