Table 6.
Hyper-Parameter | List/Range of Values | |
---|---|---|
Flow Collector | window (s) | [5, 10, 20, 30, 60, 120] |
Feature Selection | importance | [0.001, 0.0005, 0.0002, 0.0001] |
Neural Network | First layer | [8, 10, 16] |
Second layer | [0, 4, 6] | |
Gaussian Naive Bayes | no parameters | |
Random Forest | estimators | [100, 200, 300] |