AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 666 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
2. 2.True or false: “what training builds” is a prediction. (a) False (b) True
3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
5. 5.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) past weather records
6. 6.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
8. 8.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
9. 9.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
10. 10.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
11. 11.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) 500 labelled leaf photos (d) typing a new spoken word
12. 12.⏩ 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
13. 13.⏩ 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
14. 14.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
15. 15.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
16. 16.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
17. 17.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
18. 18.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) past weather records (d) naming a new leaf
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
20. 20.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is training data? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) the learned patterns
23. 23.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
24. 24.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
26. 26.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) flagging a new email (d) what training builds
27. 27.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
28. 28.True or false: “old emails marked spam” is training data. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
32. 32.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
35. 35.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
36. 36.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
37. 37.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
38. 38.True or false: “flagging a new email” is a prediction. (a) True (b) False
39. 39.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data

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