AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 597 · 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: “what training builds” is a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
5. 5.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
6. 6.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
7. 7.Which of these is the model? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) typing a new spoken word
8. 8.True or false: “labelled fruit photos” is training data. (a) True (b) False
9. 9.⏩ 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
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
11. 11.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
13. 13.True or false: “naming a new leaf” is a prediction. (a) True (b) False
14. 14.True or false: “recorded spoken words” is training data. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) what training builds
18. 18.True or false: “old emails marked spam” is the model. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) past weather records (d) tomorrow’s rain guess
21. 21.🧪 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
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “what training builds” is training data. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
26. 26.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
27. 27.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
28. 28.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
30. 30.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) past weather records (d) 500 labelled leaf photos
31. 31.Which of these is training data? (a) what training builds (b) the trained program (c) 500 labelled leaf photos (d) naming a new leaf
32. 32.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
33. 33.True or false: “typing a new spoken word” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
35. 35.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) naming a new leaf (d) the trained program
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
37. 37.🔮 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
38. 38.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
39. 39.True or false: “naming a new leaf” is training data. (a) False (b) True
40. 40.⏩ 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

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