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ClassificationAdvancedPCAGaussian Naive Bayes

PCA + Naive Bayes Faces

Classifies Olivetti faces using PCA + Gaussian Naive Bayes.

Key highlights

  • Reduces 4096 features to 50
  • Evaluates accuracy on holdout set
  • Shows sample predictions

Metrics

Accuracy

Dataset

Olivetti Faces

View full codeDownload dataset

Outputs

Face prediction sample
Sample prediction visual
Face prediction sample
Additional sample prediction

Code snapshot

Key lines that anchor the experiment workflow.

pca = PCA(n_components=50)
X_pca = pca.fit_transform(X)
nb_classifier.fit(X_train, y_train)

Next steps

Want to explore further? Try the full gallery or open the raw script to tweak parameters.

Back to galleryOpen code on GitHub