add accuracy

evaluate/Jenkinsfile

@@ -30,7 +30,7 @@ pipeline {
             steps {
                 sh "chmod +x ./predict.py"
                 sh "python ./predict.py"
-                archiveArtifacts artifacts: 'predictions.txt', onlyIfSuccessful: true
+                archiveArtifacts artifacts: 'predictions.txt,accuracy.txt', onlyIfSuccessful: true
             }
         }
     }

predict.py

@@ -1,6 +1,7 @@
 import pandas as pd
 from tensorflow import keras
 import numpy as np
+from sklearn.metrics import accuracy_score
 np.set_printoptions(threshold=np.inf)
 
 data = pd.read_csv("df_test.csv")
@@ -13,3 +14,7 @@ predictions = model.predict(X_test)
 
 with open("predictions.txt", "w") as f:
     f.write(str(predictions))
+
+accuracy = accuracy_score(y_test, predictions)
+with open("accuracy.txt", 'a') as file:
+    file.write(str(accuracy))