AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 532 · 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.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
2. 2.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “recorded spoken words” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
8. 8.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) labelled fruit photos (d) tomorrow’s rain guess
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
13. 13.True or false: “naming a new fruit photo” is training data. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) past weather records (d) what training builds
19. 19.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
20. 20.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) naming a new leaf (d) labelled fruit photos
21. 21.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
22. 22.True or false: “flagging a new email” is training data. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
24. 24.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) labelled fruit photos (d) flagging a new email
25. 25.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) tomorrow’s rain guess (d) the trained program
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
28. 28.Which of these is the model? (a) flagging a new email (b) naming a new fruit photo (c) naming a new leaf (d) the learned patterns
29. 29.Which of these is a prediction? (a) past weather records (b) what training builds (c) typing a new spoken word (d) old emails marked spam
30. 30.True or false: “recorded spoken words” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
32. 32.Which of these is a prediction? (a) past weather records (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “what training builds” is the model. (a) False (b) True
35. 35.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
36. 36.True or false: “the learned patterns” is a prediction. (a) True (b) False
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.True or false: “past weather records” is the model. (a) False (b) True
39. 39.True or false: “naming a new fruit photo” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos

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