AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 254 · 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: “500 labelled leaf photos” is a prediction. (a) True (b) False
2. 2.True or false: “flagging a new email” is a prediction. (a) False (b) True
3. 3.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) labelled fruit photos (d) old emails marked spam
4. 4.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
5. 5.True or false: “recorded spoken words” is the model. (a) False (b) True
6. 6.True or false: “naming a new leaf” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
10. 10.True or false: “typing a new spoken word” is the model. (a) False (b) True
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) recorded spoken words
12. 12.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
13. 13.True or false: “past weather records” is training data. (a) False (b) True
14. 14.True or false: “labelled fruit photos” is training data. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
17. 17.True or false: “labelled fruit photos” is the model. (a) False (b) True
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
21. 21.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) what training builds (d) the trained program
22. 22.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
23. 23.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) typing a new spoken word (d) the learned patterns
24. 24.True or false: “naming a new fruit photo” is training data. (a) False (b) True
25. 25.Which of these is training data? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) naming a new leaf
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
28. 28.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) old emails marked spam
29. 29.🧪 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
30. 30.⏩ 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
31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
34. 34.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
36. 36.True or false: “old emails marked spam” is the model. (a) True (b) False
37. 37.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) what training builds
38. 38.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
40. 40.True or false: “old emails marked spam” is training data. (a) True (b) False

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