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Results tagged with hyperparameter-optimization
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user 36657
For questions related to the concept of hyper-parameter optimization, that is, the task of finding the best hyper-parameters for a particular learning algorithm (e.g. gradient descent) or model (e.g. a multi-layer neural network) using an optimization method (e.g. Bayesian optimization or genetic algorithms).
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Is it theoretically possible (or impossible) that principal component analysis worsens the p...
PCA works well where data sample space is linear. If data sample space is not linear or it is manifold data then model without PCA may perform better than model using PCA.
In the given image you ca …
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