AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 389 · 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: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
2. 2.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
5. 5.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
7. 7.True or false: “labelled fruit photos” is training data. (a) True (b) False
8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
11. 11.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
12. 12.True or false: “labelled fruit photos” is the model. (a) False (b) True
13. 13.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) past weather records (d) flagging a new email
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
16. 16.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
18. 18.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
19. 19.Which of these is training data? (a) the learned patterns (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
20. 20.True or false: “naming a new leaf” is training data. (a) False (b) True
21. 21.Which of these is training data? (a) past weather records (b) what training builds (c) naming a new leaf (d) naming a new fruit photo
22. 22.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
23. 23.True or false: “recorded spoken words” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
25. 25.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) 500 labelled leaf photos (d) typing a new spoken word
26. 26.🧪 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
27. 27.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
28. 28.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
29. 29.⏩ 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
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the trained program (d) old emails marked spam
37. 37.⏩ 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
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “the learned patterns” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word

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