Table 1 ANN parameters used for classification
From: Prediction of measles patients using machine learning classifiers: a comparative study
Parameter | Value |
|---|---|
Training | 80% |
Testing | 10% |
Validation | 10% |
Hidden layer | 5 |
Input neurons | 5 |
Output neurons | 1 |
Algorithm | backpropagation |
Activation function | Sigmoid |
Repetitions | 2 |
Lifesign | minimal |
stepmax | 1000 |
Learningrate | 0.01 |
learningrate.limit | (0.1, 0.9) |