AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 119 · 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.True or false: “the trained program” is training data. (a) False (b) True
2. 2.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
3. 3.⏩ 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
4. 4.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
7. 7.True or false: “naming a new leaf” is a prediction. (a) False (b) True
8. 8.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
11. 11.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) past weather records (d) typing a new spoken word
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
13. 13.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) past weather records (d) typing a new spoken word
14. 14.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) recorded spoken words (d) the trained program
15. 15.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
16. 16.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) the learned patterns (d) recorded spoken words
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
18. 18.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
19. 19.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) typing a new spoken word (d) what training builds
20. 20.True or false: “past weather records” is the model. (a) True (b) False
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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “the learned patterns” is the model. (a) False (b) True
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
25. 25.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
26. 26.True or false: “naming a new fruit photo” is training data. (a) True (b) False
27. 27.True or false: “what training builds” is training data. (a) False (b) True
28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
30. 30.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) tomorrow’s rain guess (d) what training builds
31. 31.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
32. 32.True or false: “recorded spoken words” is a prediction. (a) True (b) False
33. 33.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) past weather records
34. 34.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
35. 35.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
37. 37.True or false: “recorded spoken words” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
39. 39.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
40. 40.True or false: “the learned patterns” is training data. (a) True (b) False

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