Spam Detection using R integrated with java
Spam classification is successfully implemented using logistic regression with an accuracy of 94% approximately. The data set consists of a total of 5728 emails which is split into two parts ie 70% for training our algorithm and 30% for testing it.
Spam classification is successfully implemented using logistic regression with an accuracy of 94% approximately. The data set consists of a total of 5728 emails which is split into two parts ie 70% for training our algorithm and 30% for testing it.