Machine Learning with Kaggle Kernels - Part 3 - Dr. Shahin Rostami

In the last article we covered a number of experimental design issues and made some decisions for our experiments. We decided to compare the performance of two simple artificial neural networks on the Iris Flower dataset. The first neural network will be the control arm, and it will consist of a single hidden layer of four neurons. The second neural network will be the experimental arm, and it will consist of a single hidden layer of five neurons. We will train both of these using default configurations supplied by the Keras library and collect thirty accuracy samples per arm. We will then apply the Wilcoxon Rank Sums test to test the significance of our results.