Network Activity Anomaly Detection

I used K-Nearest Neighbors (KNN) , Logistic Regression, Decision Tree, Random Forest, Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGBM), AdaBoost, LightGBM, CatBoost, Naive Bayes, Voting Classifier, Support Vector Machine (SVM) among which i find Random Forest model best for this dataset with accuracy 99.7%