def visualize_expected_score_distribution(scores: List[float]):
    """
    Visualize the distribution of expected scores in the generated sample set.

    Args:
        scores (List[float]): List of expected scores.
    Returns:
        None: Displays the histogram of the expected score distribution.
    """

    # Plot the histogram of the expected scores
    plt.figure(figsize=(8, 6))
    sns.histplot(scores, bins=10, kde=True, color="skyblue")
    plt.title("Distribution of Expected Scores")
    plt.xlabel("Expected Score")
    plt.ylabel("Frequency")
    plt.grid(True)
    plt.show()

    Visualize the distribution of expected scores in the generated sample set.

    Args:
        scores (List[float]): List of expected scores.
    Returns:
        None: Displays the histogram of the expected score distribution.
    
src/benchmark/trulens/benchmark/benchmark_frameworks/experiments/dataset_preprocessing.py