query: How to calculate accuracy of PCA?
positive_passages.docid: 16523
positive_passages.text: How to compute classification accuracy of PCA?
negative_passages.docid: 70245
negative_passages.text: Why is the eigenvector in PCA taken to be unit norm?
negative_passages.docid: 158823
negative_passages.text: Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
negative_passages.docid: 6058
negative_passages.text: Visualizing a million, PCA edition
negative_passages.docid: 90089
negative_passages.text: Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
negative_passages.docid: 64175
negative_passages.text: How to estimate confidence level for SVM or Random Forest?
negative_passages.docid: 25745
negative_passages.text: How do you calculate precision and recall for multiclass classification using confusion matrix?
negative_passages.docid: 85031
negative_passages.text: How to interpret this PCA biplot to determine which attributes to pick?
negative_passages.docid: 156676
negative_passages.text: How to compare features and classifiers which achieve perfect accuracy?
negative_passages.docid: 112934
negative_passages.text: Is PCA followed by a rotation (such as varimax) still PCA?
negative_passages.docid: 152420
negative_passages.text: Robust PCA vs. robust Mahalanobis distance for outlier detection
negative_passages.docid: 46319
negative_passages.text: How to perform orthogonal regression (total least squares) via PCA?
negative_passages.docid: 53988
negative_passages.text: How to compute sample variance?
negative_passages.docid: 9286
negative_passages.text: Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
negative_passages.docid: 9676
negative_passages.text: How to interpret error measures?
negative_passages.docid: 12658
negative_passages.text: Tool to confirm Gaussian fit
negative_passages.docid: 154899
negative_passages.text: Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?