The products are classified as “Hot” and “Normal” based on their total annual sales.
I want to detect what are the possible causes / attributes that make a product “hot”, so to detect if a new product will be hot or Normal, before rolling out that product.
What methods do you suggest for this problem?
My current thought: This is a classification problem. Make a decision tree, and then check what are the decision points / rules and pick those as the “cause”. Another idea: go with neural nets and deep learning though can I detect cause though this?
I appreciate if you give me some advice and some tips for approaching this problem.
Important: The main goal is not classification of the products (although that will be the side effect) the main goal is to detect the “causes”.