AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 140 · 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.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
3. 3.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
4. 4.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) what training builds
5. 5.True or false: “the learned patterns” is the model. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
7. 7.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
9. 9.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
10. 10.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
11. 11.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
12. 12.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
16. 16.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
17. 17.True or false: “the trained program” is the model. (a) True (b) False
18. 18.True or false: “the trained program” is training data. (a) False (b) True
19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
20. 20.True or false: “naming a new leaf” is the model. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
22. 22.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
23. 23.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) past weather records
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
27. 27.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) naming a new leaf
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new leaf (d) recorded spoken words
37. 37.True or false: “past weather records” is training data. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) flagging a new email (d) 500 labelled leaf photos

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