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      date: Wed, 15 Apr 2026 13:52:22 GMT
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        create a riddle that incorporates data science concepts and terminology in
        a clever way. Let me think of something that would appeal to data scientists
        and uses their domain knowledge.\\n\\nHere's my riddle:\\n\\nI have no bias,
        yet I overfit with ease,\\nI branch out widely, but I'm not the trees.\\nPrune
        me back gently to help me generalize,\\nRandom forests need me, despite my
        size.\\n\\nWhat am I?\\n\\nAnswer: A Decision Tree\\n\\nLet me make sure this
        works:\\n- \\\"No bias\\\" - decision trees can have low bias\\n- \\\"Overfit
        with ease\\\" - they're prone to overfitting\\n- \\\"Branch out widely\\\"
        - they have branches/splits\\n- \\\"Not the trees\\\" - misdirection, but
        also referencing that a single tree isn't a forest\\n- \\\"Prune me back\\\"
        - pruning is a technique to reduce overfitting in decision trees\\n- \\\"Help
        me generalize\\\" - pruning helps with generalization\\n- \\\"Random forests
        need me\\\" - random forests are made of decision trees\\n\\nThis seems like
        a good riddle for data scientists! It uses their jargon and concepts in a
        playful way.\"}}},{\"text\":\"# A Data Science Riddle\\n\\n*I have no bias,
        yet overfit with ease,*  \\n*I branch out widely, but I'm not the trees.*
        \ \\n*Prune me back gently to help me generalize,*  \\n*Random forests need
        me, despite my size.*\\n\\n**What am I?**\\n\\n<details>\\n<summary>Click
        for answer</summary>\\n\\n**A Decision Tree** \U0001F333\\n\\n</details>\\n\\n---\\n\\n**Bonus
        riddle:**\\n\\n*I'm measured but never touched,*  \\n*Without me, your model's
        a crutch.*  \\n*Split me three ways if you're being cautious,*  \\n*Train,
        validate, test—though the order might nauseous.*\\n\\n<details>\\n<summary>Click
        for answer</summary>\\n\\n**Data/Dataset**\\n\\n</details>\"}],\"role\":\"assistant\"}},\"stopReason\":\"end_turn\",\"usage\":{\"cacheReadInputTokenCount\":0,\"cacheReadInputTokens\":0,\"cacheWriteInputTokenCount\":0,\"cacheWriteInputTokens\":0,\"inputTokens\":43,\"outputTokens\":459,\"serverToolUsage\":{},\"totalTokens\":502}}"
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