{
  "week": 7,
  "title": "Classification Fundamentals",
  "questions": [
    {
      "q": "Classification predicts?",
      "options": [
        "A category",
        "A paragraph",
        "Only a graph",
        "Nothing"
      ],
      "answer": 0,
      "explanation": "Classification predicts classes or labels."
    },
    {
      "q": "Which split is commonly used to evaluate a model?",
      "options": [
        "Train-test split",
        "Upper-lower split",
        "String split",
        "Sort split"
      ],
      "answer": 0,
      "explanation": "Train-test split is standard."
    },
    {
      "q": "Precision is most important when?",
      "options": [
        "False positives are costly",
        "There are no labels",
        "All data is missing",
        "You only draw charts"
      ],
      "answer": 0,
      "explanation": "Precision matters when false positives are costly."
    }
  ]
}