AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 744 · 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.⏩ 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
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
4. 4.True or false: “past weather records” is the model. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
7. 7.True or false: “past weather records” is training data. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
9. 9.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
12. 12.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) naming a new leaf (d) flagging a new email
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
14. 14.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
15. 15.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) what training builds (d) tomorrow’s rain guess
16. 16.True or false: “the learned patterns” is training data. (a) True (b) False
17. 17.True or false: “the trained program” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
21. 21.⏩ 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
22. 22.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) flagging a new email (d) what training builds
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
24. 24.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
25. 25.True or false: “labelled fruit photos” is the model. (a) False (b) True
26. 26.True or false: “recorded spoken words” is a prediction. (a) False (b) True
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
28. 28.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
29. 29.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) the trained program
30. 30.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the learned patterns
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
32. 32.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) past weather records (d) old emails marked spam
33. 33.⏩ 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
34. 34.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
35. 35.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
36. 36.True or false: “naming a new fruit photo” is the model. (a) True (b) False
37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
38. 38.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) past weather records
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words

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