CISCO 700-846 Cisco IoT Advantage for Account Managers (IOTAAM) 12 25Oct2024 - Practice Quiz

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Question 1 of 30

In a smart manufacturing environment, a company is implementing an IoT system that utilizes AI and machine learning to optimize production efficiency. The system collects data from various sensors monitoring temperature, humidity, and machine performance. The AI model predicts potential machine failures based on historical data and real-time sensor inputs. If the model has a precision of 85% and a recall of 75% in identifying machine failures, what is the F1 score of the model, and how does this metric help in evaluating the effectiveness of the AI system in this context?

The F1 score is approximately 0.80, indicating a balanced performance between precision and recall, which is crucial for minimizing both false positives and false negatives in failure predictions.

The F1 score is approximately 0.75, suggesting that the model is more focused on identifying true positives than avoiding false positives.

The F1 score is approximately 0.85, which implies that the model is highly effective in predicting machine failures but may overlook some instances.

The F1 score is approximately 0.90, indicating that the model has a very high accuracy in predicting machine failures.

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