Using a decision tree model, predict and evaluate whether applicants will be interviewed or not.

$$ Dataset

$$ decision$\_$tree$\_$data dataset with $30$ records

$$ attributes: level, lang, tweets, phd$,$ interview$($target$)$

$$ Training and Testing

$$ Split the dataset into $9/10($then $8/10,7/10)$ for

training and $1/10($then $2/10,3/10)$ for testing.

$$ Evaluate the model using the holdout method, with the shuffle and stratify options in dataset split