In this recipe, we created an RNN-to-category model to predict whether SMS text is spam or ham. We achieved about 86% accuracy on the test set. The following are accuracy and loss plots on both the test and training sets:
How it works...
Figure 3: The accuracy (left) and loss (right) of the training and test sets
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