In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.

Example Input: WELL DONE! Your 4* Costa Del Sol Holiday or £5000 await collection. Call 09050090044 Now toClaim. SAE, TCs, POBox334, Stockport, SK38xh, Cost£1.50/pm, Max10mins
Example Output: spam

Example Input: Not sure yet, still trying to get a hold of him
Example Output: ham

Example Input: Finally the match heading towards draw as your prediction.
Example Output:
ham