Model Explainer

Feature Importances

Feature Importances

Model Summary

metric Score
mean-squared-error 11.132
root-mean-squared-error 3.336
mean-absolute-error 2.446
mean-absolute-percentage-error 0.005
R-squared 0.963

Predicted vs Actual

Residuals

Plot vs feature

Are predictions and residuals correlated with features?

Individual Predictions

Select Index

Selected index: 717

Prediction

Enerji
Predicted 440.313
Observed 438.820
Residual -1.493

Contributions Plot

How has each feature contributed to the prediction?

Partial Dependence Plot

Contributions Table

How has each feature contributed to the prediction?
Reason Effect
Average of population 454.31
MotorSıcaklığı = 26.56 -15.38
EgzozVakumu = 49.02 +2.12
OrtamBasıncı = 1007.65 -0.77
BağılNem = 70.78 +0.03
Other features combined +0.0
Final prediction 440.31

What if...

Select Index

Selected index: 1694

Prediction

Enerji
Predicted 469.660

Feature Input

Adjust the feature values to change the prediction

Contributions Plot

How has each feature contributed to the prediction?

Partial Dependence Plot

Contributions Table

How has each feature contributed to the prediction?
Reason Effect
Average of population 454.31
MotorSıcaklığı = 14.57 +9.62
EgzozVakumu = 39.28 +3.94
BağılNem = 76.94 -0.06
OrtamBasıncı = 1015.1 +1.84
Other features combined +0.0
Final prediction 469.66

Feature Dependence

Shap Summary

Ordering features by shap value

Shap Dependence

Relationship between feature value and SHAP value

Feature Interactions

Interactions Summary

Ordering features by shap interaction value

Interaction Dependence

Relation between feature value and shap interaction value

Decision Trees

Select Index

Selected index: 613

Decision Trees

Displaying individual decision trees inside Random Forest

Decision path table

Decision path through decision tree
no tree selected