Additionally , the train - test split is implemented with 75 % of the data used for training and 25 % for testing .
The above image represents the vectorisation of the message column with the help of CountVectorizer from Scikit - learn .
The train - test split is implemented with 75 % of the data used for training and 25 % for testing .
The above image represents the vectorisation of the message column with the help of CountVectorizer from Scikit - learn .