8.2.7 Evaluating the Supervised GraphWise Model Performance

You can evaluate various classification metrics for the model using the evaluateLabels method as described in the following code:

Evaluating the Supervised GraphWise Model Performance Using JShell

opg4j> model.evaluateLabels(fullGraph, testVertices).print();

Evaluating the Supervised GraphWise Model Performance Using Java

model.evaluateLabels(fullGraph,testVertices).print();

Evaluating the Supervised GraphWise Model Performance Using Python

model.evaluate_labels(full_graph, test_vertices).print()

The output will be similar to the following example output:

+------------------------------------------+
| Accuracy | Precision | Recall | F1-Score |
+------------------------------------------+
| 0.8488   | 0.8523    | 0.831  | 0.8367   |
+------------------------------------------+