In k-fold cross-validation, the original sample is randomly partitioned into k equal sized sub-samples of the k subsamples, A single sub-sample is retained as the validation data for testing the model, and the remaining k − 1 subsamples are used as training data. The cross-validation process is then repeated k times (the folds), with each of the k subsamples used exactly once as the validation … Continue reading K- Fold Cross Validation for reducing over-fit issue on classifiers

Regression and Classifications are two major area in Classification Technique in Data Mining. Toady I heared a question what is regression and what is classification and where am i use which condition. The Image says lots of word than I write. The key point is if you have large data and you want to : Find the Catagories of that You shoud follow the path … Continue reading Regression and Classification