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sri ranga sai
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sri ranga sai 4 years ago
ran flow sklearn.naive_bayes.GaussianNB(19) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9165,
sri ranga sai 4 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(4) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9191,
sri ranga sai 4 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(4) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9191,
sri ranga sai 4 years ago
ran flow sklearn.tree._classes.ExtraTreeClassifier(2) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.202, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9242,
sri ranga sai 4 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8604,
sri ranga sai 4 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8902,
sri ranga sai 4 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Learning Curve on data set zoo
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9602, kappa: 0.9503, kb_relative_information_score: 0.9277, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2188, weighted_recall: 0.9624, number_of_instances: 1010, precision: 0.9615, predictive_accuracy: 0.9624, prior_entropy: 2.3926, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2577, unweighted_recall: 0.9007,
sri ranga sai 4 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Learning Curve on data set zoo
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9562, kappa: 0.9462, kb_relative_information_score: 0.9241, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2188, weighted_recall: 0.9594, number_of_instances: 1010, precision: 0.9569, predictive_accuracy: 0.9594, prior_entropy: 2.3926, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2647, unweighted_recall: 0.8921,