Working on a neural network model

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A data specialist was working on a neural network model. She normalized all numeric input variables and created dummy variables for categorical input. She first specified 1 hidden layer with 1 hidden nodes in it nn <- neuralnet(Like + Dislike ~ Salt + Fat, data = df, linear.output = F, hidden = 1)

The predicted results were not very good. Next, how should she improve the neural network model's performance? Why?

Reference no: EM133086614

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