AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 888 · 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.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
2. 2.True or false: “the learned patterns” is a prediction. (a) True (b) False
3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) the learned patterns
4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
5. 5.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) flagging a new email
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
10. 10.True or false: “recorded spoken words” is training data. (a) False (b) True
11. 11.True or false: “the trained program” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
15. 15.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
16. 16.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
17. 17.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) what training builds
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
20. 20.True or false: “the learned patterns” is the model. (a) True (b) False
21. 21.True or false: “flagging a new email” is a prediction. (a) False (b) True
22. 22.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
26. 26.Which of these is training data? (a) flagging a new email (b) the trained program (c) tomorrow’s rain guess (d) old emails marked spam
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
30. 30.Which of these is the model? (a) past weather records (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
31. 31.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) recorded spoken words
32. 32.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
33. 33.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
35. 35.True or false: “past weather records” is a prediction. (a) True (b) False
36. 36.True or false: “past weather records” is training data. (a) False (b) True
37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
39. 39.True or false: “naming a new leaf” is training data. (a) False (b) True
40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False

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