AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 72 · 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 a prediction? (a) recorded spoken words (b) naming a new leaf (c) the trained program (d) labelled fruit photos
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
3. 3.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
5. 5.True or false: “old emails marked spam” is the model. (a) True (b) False
6. 6.Which of these is training data? (a) what training builds (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
7. 7.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
10. 10.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) naming a new leaf
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
13. 13.⏩ 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
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
15. 15.True or false: “past weather records” is training data. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
17. 17.🧪 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
18. 18.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) what training builds
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
25. 25.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) flagging a new email
26. 26.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
28. 28.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
29. 29.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) old emails marked spam (d) the trained program
30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
31. 31.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) recorded spoken words
32. 32.Which of these is training data? (a) the learned patterns (b) the trained program (c) 500 labelled leaf photos (d) tomorrow’s rain guess
33. 33.True or false: “naming a new fruit photo” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
35. 35.True or false: “typing a new spoken word” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “labelled fruit photos” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) flagging a new email (d) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf

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