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Step 25 Double-click on the Test and Score widget to view the evaluation metrics for all three algorithms.
Key metrics to observe include:
• Accuracy: The proportion of correctly classified instances.
• F1 Score: The harmonic mean of Precision and Recall.
• Precision: The ratio of true positive predictions to the total predicted positives.
• Recall: The ratio of true positive predictions to the total actual positives.
Stage 5 Evaluation
In this step, the performance of different algorithms is evaluated to determine the best model for the task.
The steps for model evaluation are as follows:
Step 26 Drag and drop the Confusion Matrix widget onto the canvas.
Step 27 Connect the Test and Score widget (where you previously evaluated the algorithms) to the
Confusion Matrix widget.
This will allow you to visualize the confusion matrix based on the results from the tested algorithms.
Step 28 Double-click on the Confusion Matrix widget to open it.
Computer Vision (Practical) 339

