Today I learned about the 5 fold Cross-validation, in today’s morning session we performed this 5-Fold Cross-validation to the dataset that has 354 data points for this we initially split the dataset randomly into five roughly equal-sized parts, or “folds.” now each fold has 71 data points and the last fold has 70 datapoints. In this process we perform five iterations and In each iteration, one fold is held out as the test set, while the other four folds are used for training the model. This process involves training a polynomial regression model and measure average performance of the model.
In the mondays class update I will post about what progress we made on the dataset.