Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
for LDA. We can verify this by looking at the histogram provided. plt.hist(X_train_std[3], alpha=0.5, label='f3', bins=10) plt.legend(loc='upper right') plt.show() Checking the distribution Based on the second assumption, it can be argued that the covariance matrices are identical. While the