AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 518 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
3. 3.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
5. 5.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) what training builds
6. 6.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
8. 8.⏩ 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
9. 9.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
10. 10.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
13. 13.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) past weather records
14. 14.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) typing a new spoken word
15. 15.True or false: “the trained program” is the model. (a) True (b) False
16. 16.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
17. 17.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
20. 20.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
21. 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
24. 24.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) recorded spoken words
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
26. 26.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is training data? (a) naming a new leaf (b) past weather records (c) tomorrow’s rain guess (d) naming a new fruit photo
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
31. 31.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) naming a new leaf
32. 32.True or false: “naming a new leaf” is a prediction. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
34. 34.True or false: “what training builds” is the model. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
36. 36.⏩ 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
37. 37.True or false: “old emails marked spam” is training data. (a) True (b) False
38. 38.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new leaf (d) old emails marked spam
39. 39.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
40. 40.True or false: “old emails marked spam” is a prediction. (a) True (b) False

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