Question: EXPERIMENT 5 : We use a Random Forest classifier to get the relative importance of the 7 8 4 features ( pixels ) of the

EXPERIMENT 5: We use a Random Forest classifier to get the relative importance of the 784 features (pixels) of the 28x28 dimensional images in training set of MNIST images and select the top 70 features (pixels). We train our 'best' dense neural network using these 70 features and compare its performance to the the dense neural network models from EXPERIMENTS 3 and 4.

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