AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 555 · 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: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
2. 2.⏩ 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
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “labelled fruit photos” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
7. 7.🧪 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
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
11. 11.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) the trained program
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) recorded spoken words
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
16. 16.True or false: “flagging a new email” is the model. (a) True (b) False
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) past weather records (d) recorded spoken words
18. 18.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
19. 19.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
20. 20.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
23. 23.True or false: “the learned patterns” is the model. (a) False (b) True
24. 24.Which of these is the model? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
26. 26.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) past weather records (d) tomorrow’s rain guess
27. 27.True or false: “what training builds” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
29. 29.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
30. 30.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
33. 33.True or false: “old emails marked spam” is training data. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
35. 35.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) what training builds (d) the learned patterns
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
37. 37.True or false: “past weather records” is a prediction. (a) False (b) True
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
39. 39.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
40. 40.Which of these is training data? (a) the learned patterns (b) what training builds (c) the trained program (d) recorded spoken words

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