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Home
Python 3
Comparing Evaluation Metrics

Comparing Evaluation Metrics

Comparing Evaluation Metrics
Code
Explanation

Comparing Evaluation Metrics

Visualizing the evaluation metrics helps compare their values more effectively.

Code

metrics = ['Precision', 'Recall', 'F1 Score']

scores = [precision, recall, f1]

plt.figure(figsize=(7,5))

plt.bar(metrics, scores)

plt.ylim(0,1)

plt.ylabel("Score")

plt.title("Evaluation Metrics")

plt.show()

Explanation

The bar chart provides a visual comparison of the model's Precision, Recall, and F1-Score.

Ideally, all three values should be close to 1.0, indicating strong performance.

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Comparing Evaluation Metrics

Contents

Comparing Evaluation Metrics

Code

Explanation

Fake Review Detection System using Machine Learning

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