Starting with all 200 training items, the decision tree algorithm scans the data and finds the one value of the one predictor variable that splits the data into two sets in such a way that the most ...

Because selection is made with replacement, the new training dataset will likely have duplicates, which is what is needed to train the next decision tree on difficult-to-train data items. Making ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...