From d4f6cf005d4475fecc8ba2e71efb28c3404f77b4 Mon Sep 17 00:00:00 2001 From: ulusoy Date: Wed, 26 Jun 2024 13:36:10 +0200 Subject: [PATCH] update --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index de929db..c2e5778 100644 --- a/README.md +++ b/README.md @@ -163,6 +163,7 @@ The following two hypotheses were applied in this project: Result: - For the first hypothesis, an accuracy of 83 % was achieved with the XGBoost classifier. The detailed procedure can be found in the following notebook: [ml_xgboost.ipynb](notebooks/ml_xgboost.ipynb) - Also a 82 % accuracy was achieved with a Gradient Boosting Tree Classifier. The detailed procedure can be found in the following notebook: [ml_grad_boost_tree.ipynb](notebooks/ml_grad_boost_tree.ipynb) +- An 80 % accuracy was achieved with a Decision Tree Classifier. The detailed procedure can be found in the following notebook: [ml_decision_tree.ipynb](notebooks/ml_decision_tree.ipynb) With those Classifiers, the hypothesis can be proven, that a classifier is able to classify the diagnostic Groups with a accuracy of at least 80%.