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Related Questions
- A spam filter correctly identifies and blocks all instances of unwanted emails, but misses 20% of actual spam emails sent to the account. What happens in this scenario?
- In a medical imaging system, 99% of detected tumors are accurately identified, but 40% of actual tumors go undetected. What is happening in this system?
- A predictive model correctly predicts the buying behavior of 90% of existing customers, but fails to predict the behavior of 70% of new customers. What type of problem is this an example of?
- A natural language processing model accurately classifies 95% of positive sentiment comments, but fails to identify 50% of negative sentiment comments. What does this imply about the model's performance?
- A self-driving car detects and correctly identifies 98% of pedestrians, but fails to detect 60% of cyclists in the area. What kind of error is this?
- In a sentiment analysis system, 80% of accurately classified tweets are correctly labeled as positive or negative. However, 60% of all tweets go unlabeled by the system. What can be concluded from this performance?
- A customer service chatbot correctly handles 85% of simple customer queries, but is unable to address 55% of more complex issues. What limitations does this reveal about the chatbot's capabilities?
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