STAT-002Predictiontrack →90% of tickets are 'question', 10% are 'bug'. A model predicts 'question' for every ticket. What is its accuracy — and why is that number dangerous?
prerequisite: STAT-001
Context fixture{
"question": 90,
"bug": 10
}
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