query: Is it realistic to achieve better results when doing PCA before neural network classification?
positive_passages.docid: 52047
positive_passages.text: How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
negative_passages.docid: 68765
negative_passages.text: How do I make my neural network better at predicting sine waves?
negative_passages.docid: 3089
negative_passages.text: Why PCA of data by means of SVD of the data?
negative_passages.docid: 143724
negative_passages.text: Is it possible to use kernel PCA for feature selection?
negative_passages.docid: 82178
negative_passages.text: Does it make sense to combine PCA and LDA?
negative_passages.docid: 102449
negative_passages.text: Weighting features prior to SVM
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: 107224
negative_passages.text: Why you shouldn't upsample before cross validation
negative_passages.docid: 38075
negative_passages.text: What is the trade-off between batch size and number of iterations to train a neural network?
negative_passages.docid: 11188
negative_passages.text: Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
negative_passages.docid: 46319
negative_passages.text: How to perform orthogonal regression (total least squares) via PCA?
negative_passages.docid: 36477
negative_passages.text: Is there any required amount of variance captured by PCA in order to do later analyses?
negative_passages.docid: 58845
negative_passages.text: Neural networks output probability estimates?
negative_passages.docid: 111170
negative_passages.text: Testing large dataset for normality - how and is it reliable?
negative_passages.docid: 2632
negative_passages.text: PCA and the train/test split
negative_passages.docid: 14605
negative_passages.text: Why use gradient descent with neural networks?
negative_passages.docid: 45832
negative_passages.text: What is the relation between k-means clustering and PCA?