KFold Cross-validation Random Forest Binary Classification

This is a Supervised Learning using the random forest. The distinctive part of this example in contrast to the previous one ( Random Forest Example) is the split of data. In this example, we apply more extensive validation of the model using the KFold Cross-validation. In this validation approach, the model is trained and tested K-times with different training and testing data for each time. In the end, we will have 5 results for 5 models. To report the results, the average or the median of performance
...

Statistics : Posted by DrRakha • on Mon Oct 28, 2019 5:41 am • Replies 0 • Views 616

---