IUM_05

predict.py

@@ -5,6 +5,7 @@ os.environ["TF_ENABLE_ONEDNN_OPTS"] = "0"
 from keras.models import load_model
 import pandas as pd
 from sklearn.metrics import confusion_matrix
+import numpy as np
 
 
 def main():
@@ -13,7 +14,8 @@ def main():
     y_test = pd.read_csv("data/y_test.csv")
 
     y_pred = model.predict(X_test)
-    y_pred = y_pred > 0.5
+    y_pred = y_pred >= 0.5
+    np.savetxt("data/y_pred.csv", y_pred, delimiter=",")
 
     cm = confusion_matrix(y_test, y_pred)
     print(