ium_z444439/predictions.py

import keras
import numpy as np
import tensorflow as tf
import pandas as pd

data = tf.keras.models.load_model('model')

x_to_test = pd.read_csv('./X_test.csv')
y_to_test = pd.read_csv('./Y_test.csv')

accu = data.evaluate(x_to_test, y_to_test)


with open('metrics.csv', 'a') as file:
    file.write(f'1,{accu}\n')

pre = data.predict(x_to_test)

pre.tofile('prediction.csv', sep=',', format='%s')