Figure 3 | Scientific Reports

Figure 3

From: Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Figure 3

ROC AUC scores for Non-Linear models. Black dots, error bars and red diamonds are as in Fig. 2, with preselected SNP at \(p < {10}^{-4}\) and \({\rm{MAF}} > 0.01\). We show the AUC scores for: (A) different numbers of neurons in the hidden layer of a dense NN with only one hidden layer; (B) different number of layers of 64 neurons, for a dense NN with multiple hidden layers; (C) different number of layers of 64 neurons, for a dense residual NN with pre-activation variant of residual block; (D) different gradient boosting for three kind of decision trees algorithms.

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