Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
Classification Report, Confusion Matrix The results indicate an accuracy and f1-score of 0.87, which is below satisfactory levels. To take advantage of data compression, we use the LDA technique. However, it’s important to make sure that the data has a normal distribution, which is a requirement