Implement a classifier using any programming language $($Java$,$ Python$)$ and test it with benchmark

datasets from the UCI Machine Learning Repository. Split the dataset into two parts: use $90\%$ for training

the classifier and the remaining $10\%$ for testing it$.$ Note down the test and training accuracies. Explain the

algorithm and the corresponding code in the assignment on

Artificial Neural

Networks and adult