AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 525 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
2. 2.Which of these is training data? (a) old emails marked spam (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
5. 5.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
9. 9.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) the learned patterns
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
11. 11.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) recorded spoken words
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
14. 14.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
15. 15.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
18. 18.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
19. 19.True or false: “the learned patterns” is training data. (a) True (b) False
20. 20.True or false: “the trained program” is the model. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
23. 23.True or false: “flagging a new email” is training data. (a) True (b) False
24. 24.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
25. 25.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
26. 26.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
28. 28.True or false: “old emails marked spam” is a prediction. (a) True (b) False
29. 29.Which of these is training data? (a) flagging a new email (b) the trained program (c) past weather records (d) typing a new spoken word
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
31. 31.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
33. 33.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
35. 35.True or false: “the trained program” is a prediction. (a) False (b) True
36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
37. 37.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
40. 40.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email

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