Fig. 8 | npj Climate and Atmospheric Science

Fig. 8

From: Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

Fig. 8

Sample of a decision tree grown by the ML model in the ensemble classifier. In this example, the maximum depth of the tree is set to 3 and subset 1 is used as the training set. The prediction score at each leaf would be assigned to its associated observations. The model then combines the prediction scores for each sample to predict its class as whether lightning active or lightning-inactive

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