Loy Spam

# Problem<br> Our goal here is to predict whether a text message is spam (an irrelevant/unwanted message). We will use the SMS Spam Collection Data Set from UCI, which contains close to 6000 messages that have been classified as being "spam" or "ham" (not spam). We will use this dataset to train a model that can take in new message and predict whether they are spam or not. <br><br> This is an example of binary classification, as we are classifying the text messages into one of two categories. <br><br> Dataset: Train https://raw.githubusercontent.com/laploy/ML.NET/master/Spam/spam-train.tsv Score https://raw.githubusercontent.com/laploy/ML.NET/master/Spam/spam-score.tsv Test https://raw.githubusercontent.com/laploy/ML.NET/master/Spam/spam-test.tsv <br><br>![enter image description here][1] ![enter image description here][2] [1]: https://raw.githubusercontent.com/laploy/ML.NET/master/Spam/spam-azure-model.JPG [2]: https://raw.githubusercontent.com/laploy/ML.NET/master/Spam/spam-azure-eval.JPG