AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 310 · 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 naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
4. 4.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
5. 5.Which of these is training data? (a) what training builds (b) flagging a new email (c) past weather records (d) naming a new leaf
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
7. 7.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
8. 8.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
10. 10.True or false: “old emails marked spam” is a prediction. (a) False (b) True
11. 11.True or false: “what training builds” is a prediction. (a) False (b) True
12. 12.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) labelled fruit photos (d) what training builds
13. 13.⏩ 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
14. 14.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) recorded spoken words (d) typing a new spoken word
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
18. 18.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
21. 21.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
22. 22.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
24. 24.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
25. 25.True or false: “old emails marked spam” is the model. (a) False (b) True
26. 26.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
28. 28.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) labelled fruit photos (d) 500 labelled leaf photos
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
31. 31.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) the trained program (d) recorded spoken words
32. 32.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) naming a new leaf (d) the trained program
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.True or false: “labelled fruit photos” is training data. (a) True (b) False
37. 37.True or false: “naming a new leaf” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
40. 40.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) labelled fruit photos (d) tomorrow’s rain guess

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