After today’s class session i have understood about the topics ,Estimating prediction error and Validation set approach. For validation set approach the provided data is divided into two sets i.e training data which is 80% and validation data of 20%. Here the validation test is used to estimate the model’s prediction error which also known as test error. with this model we make predictions and test the predicted value the actual value and get the accuracy of the data set and then we try to increase the percentage of accuracy by using the suitable algorithm .
i have also worked on K-fold cross validation with few examples and have applied it to the provided data, I will be updating you the progress that i obtained in the following sessions.