# This script shows how one can use the model we provided 

import pickle
from sklearn.ensemble import RandomForestClassifier

# Later, load the model
with open("model_file", 'rb') as file:
    loaded_model = pickle.load(file)

# Use the loaded model for predictions
X_test = [[0 for i in range(50)]] # TODO: change with your data you want to test the model with
predictions = loaded_model.predict(X_test)
print(f"Predictions: {predictions}")