AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 876 · 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.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
2. 2.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
3. 3.True or false: “old emails marked spam” is a prediction. (a) True (b) False
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
5. 5.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
6. 6.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
7. 7.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
8. 8.True or false: “recorded spoken words” is a prediction. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
10. 10.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
12. 12.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) flagging a new email
13. 13.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) labelled fruit photos (d) past weather records
14. 14.Which of these is training data? (a) what training builds (b) the trained program (c) past weather records (d) naming a new fruit photo
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
16. 16.True or false: “past weather records” is the model. (a) True (b) False
17. 17.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
18. 18.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
19. 19.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) past weather records (d) old emails marked spam
20. 20.True or false: “old emails marked spam” is training data. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
23. 23.True or false: “what training builds” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
25. 25.True or false: “recorded spoken words” is the model. (a) False (b) True
26. 26.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
28. 28.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
29. 29.True or false: “the learned patterns” is a prediction. (a) True (b) False
30. 30.True or false: “flagging a new email” is a prediction. (a) False (b) True
31. 31.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) tomorrow’s rain guess (d) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
33. 33.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) tomorrow’s rain guess
34. 34.True or false: “flagging a new email” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
36. 36.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
38. 38.True or false: “past weather records” is training data. (a) False (b) True
39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds

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