main_binary_class_low_training_sample.py

"""
This is the main file for low training sample regime for binary classification problem.
In this we use the larger binary classification data. In order edit the function file - go to Codes.py and edit the function low_training_sample_binary_class


Author: Harikrishnan N B
Email: harikrishnannb07@gmail.com
"""
from Codes import low_training_sample_binary_class
CLASSIFICATION_TYPE = "larger_binary_class"
TRIALS = 1000
MAX_SAMPLES = 20
INITIAL_NEURAL_ACTIVITY = 0.34
DISCRIMINATION_THRESHOLD = 0.499
EPSILON = 0.183


FSCORE_NEUROCHAOS, STANDARD_DEVIATION_FSCORE_NEUROCHAOS, FSCORE_SVM, STANDARD_DEVIATION_FSCORE_SVM = low_training_sample_binary_class(CLASSIFICATION_TYPE, TRIALS, MAX_SAMPLES, INITIAL_NEURAL_ACTIVITY, DISCRIMINATION_THRESHOLD, EPSILON)

print("Average F1-score of Neurochaos = ", FSCORE_NEUROCHAOS)
print("Average F1-score of SVM = ", FSCORE_SVM)