gistfile1.txt

# test the new generatd machine learning algorithm
def testAlgorithm(algorithm, trainSet, trainSetAnswers):
    print("Type of trainSetAnswers is " + str(type(trainSetAnswers)))
    for i in range(len(trainSetAnswers)):
        y_predicted = algorithm.predict(trainSet[index])
        correctAnswer = trainSetAnswers[index]
        print("Correct Answer is " + str(correctAnswer))
        
        correctAnswer = correctAnswer.reshape(1,-1)
        print("Shape of CorrectAnswer is " + str(correctAnswer.shape))
        print("Y Predicted Value is from the trainSetAnswers is" + str(y_predicted))
        meanSquaredError = mean_squared_error(y_predicted, correctAnswer)


    

# This function will call the routine and validate the 

# Train the testing set
classifier = RandomForestClassifier()
classifier.fit(testSet, testSetAnswers)

# Validate the testing set
# trainSet = trainSet.reshape(1,-1)
print("Set of Training Data is " + str(trainSet.shape))
print("Set of Training Ansers are " + str(trainSetAnswers.shape))
testAlgorithm(classifier, trainSet, trainSetAnswers)