Learn a model

[aseempatni]

The task is to find the appropriate classifier and implement it on the dataset. We can either use a multi class classifier or decompose the problem into binary classifier using one vs all or one vs one approach.

The options are

• Naive Bayes
• Decision Tree
• Random Forest
• Nearest neighbors
• Logistic Regression
• SVM / SVC
• Neural Network

We need to figure out which one of these works out best for our use case.