AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 928 · 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: “tomorrow’s rain guess” is a prediction. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
3. 3.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
5. 5.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
6. 6.Which of these is training data? (a) past weather records (b) what training builds (c) the trained program (d) naming a new fruit photo
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
8. 8.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) the trained program (d) what training builds
9. 9.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
12. 12.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
13. 13.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) what training builds (d) naming a new fruit photo
14. 14.True or false: “old emails marked spam” is the model. (a) True (b) False
15. 15.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) old emails marked spam
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
18. 18.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
19. 19.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
20. 20.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
21. 21.True or false: “what training builds” is a prediction. (a) False (b) True
22. 22.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
23. 23.True or false: “labelled fruit photos” is training data. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “the learned patterns” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
28. 28.True or false: “what training builds” is the model. (a) False (b) True
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
30. 30.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) recorded spoken words
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
32. 32.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
33. 33.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
34. 34.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) naming a new leaf
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
37. 37.⏩ 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
38. 38.True or false: “past weather records” is the model. (a) False (b) True
39. 39.True or false: “recorded spoken words” is training data. (a) False (b) True
40. 40.True or false: “typing a new spoken word” is training data. (a) True (b) False

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