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pca_full = PCA() pca_full.fit(scaled_features) # Calculate the cumulative explained variance ratio explained_variance_ratio = pca_full.explained_variance_ratio_ cumulative_explained_variance = explained_variance_ratio.cumsum() # Plot the cumulative explained variance ratio to find the optimal