Creating LIME explanations from a lgbm model, the model prediction gives Class 1 probability as 99.99% and LIME explanations shows all positive values, when the model prediction gives Class 1 probability as 0.01% then also LIME explanations showing all positive values, I am trying to understand that to explain
Model Prediction for Class 1 with 99.99%
Model Prediction for Class 1 with 0.001%
Model Prediction for Class 1 with 75.23%
Model Prediction for Class 1 with 34.48%
How to explain this interpretation of LIME? It gives explanation for Class 1, but how to explain the explanation values for 99% and 0.1% probability are positives?
Creating LIME explanations from a lgbm model, the model prediction gives Class 1 probability as 99.99% and LIME explanations shows all positive values, when the model prediction gives Class 1 probability as 0.01% then also LIME explanations showing all positive values, I am trying to understand that to explain
Model Prediction for Class 1 with 99.99%
Model Prediction for Class 1 with 0.001%
Model Prediction for Class 1 with 75.23%
Model Prediction for Class 1 with 34.48%
How to explain this interpretation of LIME? It gives explanation for Class 1, but how to explain the explanation values for 99% and 0.1% probability are positives?