In a given dataset, there are $n$ features$($numerical$)$ and one target$($categorical$).$ The target has n classes. Write a python code using sklearn libraries to load the dataset$($data$.$csv$),$ preprocess the dataset, split the dataset and train a binary classifier to determine if the given new instance belongs to a particular class or not along with classification report.