Neural network as challenger in classification tasks

thumbnail of Neural_networks_as_challenger_in_classification_tasks Original by DataQuest, 2017, 6 pages 

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  • Can use single neuron to do logistic regression (use logit as a smooth function)
  • Use python’s Kera package (keras.io)
  • Challenge model with a small neural network of two connected hidden layers with each 10 neurons
  • Identify possible non linearities by looking at default rate occurrence per driver
  • Examine gini as a function of driver threshold
  • For bigger datasets use Python Theano or Tensorflow