Classifier

• knn
• parzen-window
• bayes
• mlp
• rbf
• svm
• random forest
• decision tree

Feature Extractor

• PCA
• HOG
• RESIZE

Report

Algorithm	Feature-Selector	Accuracy
KNN	PCA	0.9926
KNN	HOG	0.9889
KNN	RESIZE	0.9933
parzen-window	PCA	0.9852
parzen-window	HOG	0.9927
parzen-window	RESIZE	1
bayes	PCA	0.9114
bayes	HOG	0.8923
bayes	RESIZE	0.9704
mlp	PCA	0.9926
mlp	HOG	0.9963
mlp	RESIZE	0.20
rbf	PCA	0.9926
rbf	HOG	0.9926
rbf	RESIZE	0.9852
svm	PCA	0.9926
svm	HOG	0.9852
svm	RESIZE	0.9926
random forest	PCA	0.9926
random forest	HOG	0.9963
random forest	RESIZE	0.9963
decision tree	PCA	0.9889
decision tree	HOG	1
decision tree	RESIZE	0.9926

Usage

python3 PHDR.py -c [classifier] -f [feature-selector]

Help

 -h, --help            show this help message and exit
  -c CLASSIFIER, --classifier CLASSIFIER
                        knn parzen bayes mlp rbf rforest dtree svm
  -f FEATUESELECT, --featueselect FEATUESELECT
                        pca hog resize
  -v, --version         show program's version number and exit