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Fig. 4 | Parasites & Vectors

Fig. 4

From: Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data

Fig. 4

Feature importances of the random forest model determined on the train set in descending order. Each dot is a data point. The SHAP value indicates how much that feature contributes to the prediction of that data point, where large deviations from zero mean a larger contribution and positive values contribute toward a positive prediction of B. canis. Red (blue) colored dots refer to high (low) feature values. For instance, high values (red dots) of the feature %LUC(%) make it more likely a dog is infected with B. canis (positive SHAP value)

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Parasites & Vectors

ISSN: 1756-3305

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