8    data = pd.read_csv(file_path)
 9    return data
10
11def visualize_results(data):12    """
13    Visualize the analysis results
14    """

 1import matplotlib.pyplot as plt
 2import pandas as pd
 3
 4def load_data(file_path): 5    """
 6    Load data from a CSV file
 7    """

20    model.fit(X_train, y_train)
21    return model
22
23def save_model(model, file_path):24    """
25    Save the trained model to a file
26    """

 9    data = pd.read_csv(file_path)
10    return data
11
12def train_model(data):13    """
14    Train a random forest model
15    """

 2from sklearn.ensemble import RandomForestClassifier
 3from sklearn.model_selection import train_test_split
 4
 5def load_data(file_path): 6    """
 7    Load data from a CSV file
 8    """