Upload New File

DUMP.py

+# Importing the libraries
+import numpy as np
+import joblib
+from sklearn.preprocessing import StandardScaler
+
+# Load the trained model
+loaded_model = joblib.load('random_forest_model.joblib')
+scaler = joblib.load('standard_scaler.joblib')
+
+# Accept user inputs for two numerical parameters
+param1 = float(input("Enter the file size: "))
+param2 = float(input("Enter the header size: "))
+
+user_input = scaler.transform(np.array([[param1, param2]]))
+
+# Make predictions based on the user inputs
+prediction = loaded_model.predict(user_input)
+
+# Display the prediction
+print("Predicted class:", prediction[0])
+
+
+
+## 205824   1024
+## 241664   4096
+
+
+## 405504   512
+## 30208    512
+       
+
+
+