AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 137 · 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.🧪 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
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
3. 3.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) past weather records
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
7. 7.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
8. 8.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
9. 9.True or false: “the trained program” is the model. (a) True (b) False
10. 10.True or false: “recorded spoken words” is the model. (a) True (b) False
11. 11.True or false: “past weather records” is training data. (a) True (b) False
12. 12.Which of these is the model? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) 500 labelled leaf photos
13. 13.True or false: “naming a new leaf” is a prediction. (a) False (b) True
14. 14.Which of these is training data? (a) what training builds (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
16. 16.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) the learned patterns
18. 18.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) past weather records (d) old emails marked spam
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
22. 22.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
23. 23.True or false: “old emails marked spam” is training data. (a) False (b) True
24. 24.Which of these is training data? (a) flagging a new email (b) what training builds (c) the learned patterns (d) labelled fruit photos
25. 25.Which of these is a prediction? (a) the trained program (b) past weather records (c) old emails marked spam (d) tomorrow’s rain guess
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
29. 29.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
30. 30.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
33. 33.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
38. 38.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) labelled fruit photos
39. 39.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos

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