AI Worksheet: Training Data, Model, Prediction

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

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