Python practice for KNN classification

Use the following data, and run KNN to find the best parameters and performance

$$ Use Malware detection data set $($malware$\_$Binary.csv$)$ to run KNN by using $10-$fold cross validation

$$ Read the description and ReadMe document in the malware detection data

Note:

$$ You need to change different$/$multiple hyper$-$parameters to find the best KNN model.

$$ Use accuracy, precision, recall, AUC as metrics

$$ You can find data sets from $$slide & data$$ on blackboard system