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Effect of the weight regularization in the neural network/multinomial regression model on the training set error. The x-axis shows the regularization weight. The top row is for the neural network utilizing the raw input features while the bottom row is for using two-way interactions. The 3 columns show the results for the weight regularization penalty term formulated as an elastic net, L1 norm, and L2 norm.
