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October 23, 2024 21:36
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<title>NYC Air Quality Classification Results</title> | |
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<h1>NYC Air Quality Classification Results</h1> | |
<h2>Model Performance</h2> | |
<p>Our Random Forest classifier achieved 84% accuracy in predicting areas with high vs low PM2.5 pollution levels.</p> | |
<pre> | |
Classification Report: | |
precision recall f1-score support | |
0 0.82 0.87 0.84 595 | |
1 0.86 0.81 0.83 590 | |
accuracy 0.84 1185 | |
macro avg 0.84 0.84 0.84 1185 | |
weighted avg 0.84 0.84 0.84 1185 | |
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<h2>Confusion Matrix</h2> | |
<p>The confusion matrix shows the model's prediction accuracy:</p> | |
<img src="confusion_matrix.png" alt="Confusion Matrix"> | |
<h2>Feature Importance</h2> | |
<p>The following graph shows which features were most important in making predictions:</p> | |
<img src="feature_importance.png" alt="Feature Importance"> | |
<h2>PM2.5 Trends Over Time</h2> | |
<p>This graph shows how PM2.5 levels have changed over the years:</p> | |
<img src="pm25_trend.png" alt="PM2.5 Trends"> | |
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