Bank-Boosted Decision Tree - Trained

November 19, 2017
The experiment used Boosted decision tree , to classify the fake notes from real notes
This dataset presents an example of classification problem (authentic vs. counterfeit bank notes) using continuous predictors derived from image processing. More details about underlying data can be found in corresponding dataset description at UCI ML website. The data is loaded in the form of csv file.