AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 291 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
2. 2.⏩ 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
3. 3.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
5. 5.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
6. 6.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
8. 8.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
11. 11.Which of these is the model? (a) past weather records (b) naming a new leaf (c) the trained program (d) labelled fruit photos
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
15. 15.True or false: “what training builds” is the model. (a) False (b) True
16. 16.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) what training builds (d) labelled fruit photos
17. 17.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
18. 18.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) labelled fruit photos
19. 19.⏩ 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
20. 20.True or false: “recorded spoken words” is the model. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
23. 23.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
25. 25.True or false: “flagging a new email” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
28. 28.True or false: “the trained program” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
30. 30.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) flagging a new email (d) what training builds
31. 31.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) naming a new fruit photo
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
34. 34.True or false: “old emails marked spam” is the model. (a) False (b) True
35. 35.⏩ 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
36. 36.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) labelled fruit photos (d) old emails marked spam
37. 37.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
38. 38.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
39. 39.True or false: “naming a new fruit photo” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

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