| import joblib | |
| import numpy as np | |
| model = joblib.load("model.pkl") | |
| # Example input (5 features) | |
| sample = np.array([[0.5, 0.2, 0.1, 0.7, 0.3]]) | |
| pred = model.predict(sample) | |
| if pred[0] == 1: | |
| print("Malicious") | |
| else: | |
| print("Benign") |
| import joblib | |
| import numpy as np | |
| model = joblib.load("model.pkl") | |
| # Example input (5 features) | |
| sample = np.array([[0.5, 0.2, 0.1, 0.7, 0.3]]) | |
| pred = model.predict(sample) | |
| if pred[0] == 1: | |
| print("Malicious") | |
| else: | |
| print("Benign") |