import Classification
import Classification_Testing
import Data_Preprocessing
import numpy as np
from sklearn.metrics import confusion_matrix
from sklearn.preprocessing import StandardScaler
print("Appstore games Classification")
input = int(input("Press 1 To Train Models Or 2 To Test Model :: "))
if input == 1:
Classification.Trainig()
else:
pre_processing = Data_Preprocessing.Pre_Processing()
X, Y = pre_processing.PreProcessing_Testing()
print("Testing Before PCA Algorithm")
Testing = Classification_Testing.Classification_Testing(X, Y)
Testing.OneVsOnelinear(0)
Testing.OneVsOne_LinearSVC(0)
Testing.OneVsOne_ploy(0)
Testing.OneVsOne_rbf(0)
Testing.adaBoost(0)
Testing.decisionTree(0)
Testing.KNN(0)
xtrain = np.load('modelsPCA/traindata.npy', allow_pickle=True)
ytrain = np.load('modelsPCA/trainlabel.npy', allow_pickle=True)
Testing.PCA_algorithm(xtrain, ytrain)
