AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 238 · 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) naming a new fruit photo (b) naming a new leaf (c) the trained program (d) recorded spoken words
2. 2.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the trained program (d) what training builds
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
4. 4.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
5. 5.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
7. 7.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) past weather records
8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
9. 9.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
10. 10.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) past weather records
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
13. 13.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
15. 15.True or false: “the trained program” is the model. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
17. 17.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
18. 18.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
19. 19.True or false: “recorded spoken words” is the model. (a) True (b) False
20. 20.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
21. 21.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
22. 22.🔮 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
23. 23.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) naming a new fruit photo
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
28. 28.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
30. 30.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) past weather records
31. 31.⏩ 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
32. 32.⏩ 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
33. 33.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
36. 36.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) the trained program (d) flagging a new email
37. 37.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.True or false: “the learned patterns” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam

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