This system proposed for a hybrid solution of spam email classifier using context based email classification model as main algorithm complimented by information gain calculation to increase spam classification accuracy and Machine Learning algorithms. Previous solution consists of three stages email pre-processing, feature extraction and email classification. We use Naives Bayesian classification and k-mean clustering algorithm to classify the data in the mails. The study has shown that implementing the spam filter in the context –based email classification model is feasible and can be improved.
