Need to evaluate the two way interaction between two variables after regressor model.
Used PartialDependenceDisplay.from_estimator to plot but the contour lines inside the plot all have value 0.Not sure what might cause this.
Checked the data and model and there are no problems while loading the model and data.
Checked the other two variable combinations and they have same issue.

Need to evaluate the two way interaction between two variables after regressor model.
Used PartialDependenceDisplay.from_estimator to plot but the contour lines inside the plot all have value 0.Not sure what might cause this.
Checked the data and model and there are no problems while loading the model and data.
Checked the other two variable combinations and they have same issue.

Need to evaluate the two way interaction between two variables after regressor model.
Used PartialDependenceDisplay.from_estimator to plot but the contour lines inside the plot all have value 0.Not sure what might cause this.
Checked the data and model and there are no problems while loading the model and data.
Checked the other two variable combinations and they have same issue.

Need to evaluate the two way interaction between two variables after regressor model.
Used PartialDependenceDisplay.from_estimator to plot but the contour lines inside the plot all have value 0.Not sure what might cause this.
Checked the data and model and there are no problems while loading the model and data.
Checked the other two variable combinations and they have same issue.

I have trained a random forest regression model using sklearn, and used it to make some predictions on a test dataset. Naturally there are errors where the values predicted by the model are not the same as the actual values; in this case, the model’s Mean Average Error and Mean Squared Error are quite high.