AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 511 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
9. 9.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
10. 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) tomorrow’s rain guess (d) the trained program
12. 12.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) what training builds
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
14. 14.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
15. 15.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
16. 16.True or false: “the trained program” is training data. (a) True (b) False
17. 17.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
18. 18.True or false: “old emails marked spam” is training data. (a) True (b) False
19. 19.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
20. 20.True or false: “naming a new fruit photo” is the model. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
22. 22.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) naming a new leaf (d) the trained program
23. 23.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
24. 24.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
26. 26.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
27. 27.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) the trained program
28. 28.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
29. 29.True or false: “labelled fruit photos” is training data. (a) True (b) False
30. 30.True or false: “what training builds” is training data. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
33. 33.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
35. 35.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) old emails marked spam
36. 36.True or false: “the learned patterns” is the model. (a) True (b) False
37. 37.⏩ 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
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) the trained program (d) recorded spoken words
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) old emails marked spam (d) naming a new fruit photo
40. 40.True or false: “the trained program” is the model. (a) False (b) True

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