Assessing the Predict Size ML classification model
The Predict Size ML model was an attempt at building an ML classification model to predict if the size of a wildlife strike was Small, Medium, or Large. The following table shows some key metrics about the initial version of the ML model:
|
Metric Name |
Metric Value |
Comments |
|
AUC |
60% |
The AUC indicates the performance of an ML model, with 100% being perfect. 60% is better than random guessing, but not very good! |
|
Row Count for Training |
11,368 |
Number of rows used to train the ML model |
|
Row Count for Testing |
2,841 |
Number of rows used to test against the trained ML model |
Figure 10.5 – Key metrics...
