I'm training an unsupersived isolation forest model with a dataframe that contains 10 features , the model performs well and detect anomalies. My question is if an anomaly is catched i want to know which feature(s) has caused that anomaly. Is there any way to do it ? If not , is there an other model that allows me to do it

CodePudding user response：

SHAP values and the