AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 161 · 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: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
2. 2.Which of these is training data? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) naming a new fruit photo
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “the learned patterns” is the model. (a) False (b) True
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
6. 6.True or false: “typing a new spoken word” is training data. (a) True (b) False
7. 7.True or false: “flagging a new email” is training data. (a) True (b) False
8. 8.True or false: “what training builds” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
11. 11.Which of these is training data? (a) what training builds (b) the trained program (c) typing a new spoken word (d) old emails marked spam
12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
13. 13.⏩ 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
14. 14.🧪 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
15. 15.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
18. 18.Which of these is the model? (a) naming a new leaf (b) what training builds (c) old emails marked spam (d) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
21. 21.True or false: “labelled fruit photos” is training data. (a) True (b) False
22. 22.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
24. 24.True or false: “typing a new spoken word” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
28. 28.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
29. 29.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
30. 30.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) past weather records (d) recorded spoken words
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
32. 32.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) 500 labelled leaf photos
33. 33.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
34. 34.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
35. 35.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
37. 37.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) past weather records (d) naming a new leaf
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model

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