Binary-Classification

1. 'Python' folder contains:

-'FNN' folder: Feedforward Neural Network (FNN)

-'1DCNN' folder: Convolutional Neural Network (1D CNN)

-'med_node' folder: med_nod.csv (features dataset) + testing results (test_fnn_med_node.py + test_cnn_med_node.py)

-'n7point' folder: n7point.csv (features dataset) + testing results (test_fnn_n7point.py + test_cnn_n7point.py)

-'PAD-EFES-20' folder: PAD-EFES-20.csv (features dataset) + testing results (test_fnn_PAD-EFES-20.py + test_cnn_PAD-EFES-20.py)

-'Classifiers' folder: features_classifiers.py (contains classifiers as RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, GaussianNB, DecisionTreeClassifier and Support Vector Machine)

1. 'Matlab' folder:

superpix3_up.m - script for loading all images from 'image_sample' folder and for generating 2 files: file1.xlsx (array with features) and file2.xlsx (one column array with labels - the images which correspond to the features from file1.xlsx)

PR_nn.m - PRNN neural network