Deep Learning, Neural Networks, Keras, Python.
approved) exceeds 0.7, should you choose to approve the loan application. Alternatively, you could pick the class with the highest probability as the final prediction. For instance, based on the above screenshot the model predicts a loan will be approved with a 2% probability but will be rejected