AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 461 · 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: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
2. 2.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
3. 3.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
4. 4.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
5. 5.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) tomorrow’s rain guess
6. 6.True or false: “typing a new spoken word” is the model. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
8. 8.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
9. 9.🔮 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
10. 10.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
11. 11.True or false: “recorded spoken words” is a prediction. (a) False (b) True
12. 12.True or false: “labelled fruit photos” is training data. (a) False (b) True
13. 13.⏩ 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
14. 14.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
15. 15.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) old emails marked spam (d) past weather records
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
18. 18.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
19. 19.True or false: “what training builds” is training data. (a) False (b) True
20. 20.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) typing a new spoken word (d) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “recorded spoken words” is training data. (a) False (b) True
23. 23.True or false: “naming a new leaf” is training data. (a) False (b) True
24. 24.True or false: “what training builds” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
29. 29.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) flagging a new email (d) the learned patterns
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
32. 32.Which of these is training data? (a) past weather records (b) the trained program (c) naming a new fruit photo (d) naming a new leaf
33. 33.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) past weather records
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
37. 37.⏩ 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
38. 38.Which of these is the model? (a) naming a new leaf (b) past weather records (c) the learned patterns (d) typing a new spoken word
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
40. 40.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds

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