AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 745 · 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.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
2. 2.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
3. 3.True or false: “recorded spoken words” is training data. (a) True (b) False
4. 4.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) the learned patterns
5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
6. 6.🔮 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
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
8. 8.⏩ 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
9. 9.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
10. 10.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
11. 11.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
12. 12.⏩ 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
13. 13.True or false: “what training builds” is training data. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
15. 15.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) the learned patterns (d) past weather records
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
17. 17.⏩ 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
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
20. 20.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
21. 21.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) labelled fruit photos
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
23. 23.True or false: “the trained program” is the model. (a) False (b) True
24. 24.True or false: “labelled fruit photos” is the model. (a) False (b) True
25. 25.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) past weather records (d) what training builds
26. 26.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
27. 27.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
28. 28.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) flagging a new email (d) 500 labelled leaf photos
29. 29.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) tomorrow’s rain guess
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “naming a new fruit photo” is training data. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “past weather records” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
38. 38.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
39. 39.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model

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