AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 332 · 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.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
2. 2.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) what training builds (d) recorded spoken words
3. 3.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) past weather records
4. 4.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) naming a new leaf (d) recorded spoken words
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
6. 6.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
8. 8.True or false: “the learned patterns” is the model. (a) True (b) False
9. 9.🧪 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
10. 10.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
11. 11.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
12. 12.True or false: “naming a new leaf” is the model. (a) False (b) True
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
16. 16.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) recorded spoken words
17. 17.⏩ 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
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “the trained program” is training data. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
21. 21.⏩ 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
22. 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
24. 24.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) the trained program (d) 500 labelled leaf photos
25. 25.True or false: “naming a new fruit photo” is the model. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
33. 33.True or false: “the trained program” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
36. 36.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) past weather records (d) the trained program
37. 37.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
38. 38.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
39. 39.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) flagging a new email
40. 40.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) tomorrow’s rain guess (d) 500 labelled leaf photos

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