Lecture 4 Flashcards
1
Q
Model Comparison: Which model would you trust more?
A
2
Q
R², AIC, and Model Fitting
A
3
Q
Calibration in Models
A
4
Q
Why Calibration is Needed
A
5
Q
Parameter Sensitivity
A
6
Q
Calibration Techniques
A
7
Q
Measurement of Deviation
What are the key metrics used to measure deviation in model performance?
A
8
Q
Mean Absolute Error (MAE)
What does it represent?
A
9
Q
Mean Absolute Percent Error (MA%E)
What does it indicate?
A
10
Q
Root Mean Square Error (RMSE)
what does it emphasize?
A
11
Q
A
12
Q
Allometric Relationships
A
13
Q
Automatic Calibration Algorithms
A
14
Q
Nash-Sutcliffe Efficiency
A
15
Q
Model Optimization
A
16
Q
Efficiency and Model Usefulness
A
