AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 483 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) past weather records (d) what training builds
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
5. 5.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
6. 6.True or false: “recorded spoken words” is training data. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
8. 8.True or false: “labelled fruit photos” is the model. (a) False (b) True
9. 9.⏩ 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
10. 10.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
14. 14.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
15. 15.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “what training builds” is the model. (a) False (b) True
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
23. 23.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new leaf (d) past weather records
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
25. 25.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
27. 27.True or false: “recorded spoken words” is the model. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) the learned patterns (d) tomorrow’s rain guess
30. 30.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
31. 31.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
32. 32.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) naming a new fruit photo
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
37. 37.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
38. 38.True or false: “typing a new spoken word” is the model. (a) True (b) False
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) labelled fruit photos

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