AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 995 · 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 password (c) a label error (d) a prediction
2. 2.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “naming a new fruit photo” is training data. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) past weather records
7. 7.Which of these is training data? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “flagging a new email” is training data. (a) False (b) True
11. 11.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) typing a new spoken word (d) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
13. 13.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) tomorrow’s rain guess (d) labelled fruit photos
14. 14.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
15. 15.Which of these is the model? (a) recorded spoken words (b) past weather records (c) typing a new spoken word (d) what training builds
16. 16.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
18. 18.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.⏩ 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
21. 21.True or false: “old emails marked spam” is a prediction. (a) True (b) False
22. 22.Which of these is training data? (a) what training builds (b) naming a new leaf (c) naming a new fruit photo (d) old emails marked spam
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
26. 26.True or false: “naming a new leaf” is a prediction. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
28. 28.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
30. 30.⏩ 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
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.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
33. 33.True or false: “labelled fruit photos” is training data. (a) True (b) False
34. 34.True or false: “recorded spoken words” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
36. 36.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds

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