Fruit Image Classification Using HOG Features and Logistic Regression

The confusion matrix shows a perfectly diagonal structure, indicating that the model correctly classified all test samples. This suggests that the HOG feature representation combined with Logistic Regression is highly effective for this dataset. The high accuracy can also be attributed to the controlled nature of the dataset, where fruits appear on a uniform background with minimal variation.