Comparing the performance of Random Forest Classifier and SGD Classifier before and after applying dimensionality reduction algorithm (PCA) on the MNIST dataset.
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Random Forest Classifier:
- Training Time (seconds):
- Before PCA: 55
- After PCA: 131
- Accuracy:
- Before PCA: 97%
- After PCA: 95%
- Training Time (seconds):
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SGD Classifier:
- Training Time (seconds):
- Before PCA: 175
- After PCA: 38
- Accuracy:
- Before PCA: 90
- After PCA: 88
- Training Time (seconds):