part of class (DD2421) work.

Lab1: dtrees
Lab2: svm
Lab3: bayesian learning and boosting

ML algrithms: Employed the following machine learning algorithms on a train and a test set:

• Logistic Regression: 0.809234 (0.029373)
  
• Linear Discriminant Analysis: 0.811847 (0.034421)
  
• K Nearest Neighbor: 0.816975 (0.041719)
  
• Decesion Tree Classifier: 0.784940 (0.035352)
  
• Gaussien Naive Bayes: 0.842535 (0.043951)
  
• Support Vector Machine: 0.850227 (0.030152)
  
• Random Forest: 0.859153 (0.020679)
  

the best model performer is: Random Forest