def main():
fileDir = 'trainingData.csv'
print("Parsing the training data from \'" + fileDir +"\'")
trainingSamples = parseFile(fileDir)
fileDir = 'Test01.csv'
print("Parsing the testing data from \'" + fileDir + "\'")
testingSamples = parseFile(fileDir)
c = Classifier()
print("Extracting features from the training samples")
c.extractTrainingFeatures(trainingSamples)
print("Extracting features from the testing samples")
c.extractTestingFeatures(testingSamples)
# testing number of samples correctly predicted
for i in range(1, 26) :
print("Training the model using a kNeighborsClassifier with k = " + str(i))
c.trainKNeighbors(i, 'distance')
out = c.testData()
percent = out[1] * 100
print("Accuracy: " + "{0:.2f}".format(percent) + "%\n")
