ium_444386/evaluation.py

import tensorflow as tf
import os
import pandas as pd
import numpy as np
import csv
from sklearn.model_selection import train_test_split
from matplotlib import pyplot as plt

x_test = pd.read_csv('xtest.csv')
y_test = pd.read_csv('ytest.csv')

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

res = model.evaluate(x_test, y_test,verbose=0)

with open('evaluation_acuraccy.txt', 'a+') as f:
    f.write(str(res[1])+'\n')
with open('evaluation_acuraccy.txt') as f:  
    scores = [float(line) for line in f if line]
    print(scores)
    builds = list(range(1, len(scores) + 1))
    plot = plt.plot(builds, scores)
    plt.xlabel('Build')
    plt.xticks(range(1, len(scores) + 1))
    plt.ylabel('Accuraccy')
    plt.show()
    plt.savefig('accuraccy.png')