AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 912 · 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: “what training builds” is training data. (a) True (b) False
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
3. 3.True or false: “the trained program” is training data. (a) False (b) True
4. 4.True or false: “old emails marked spam” is the model. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
6. 6.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the trained program (d) naming a new fruit photo
7. 7.True or false: “recorded spoken words” is the model. (a) True (b) False
8. 8.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) old emails marked spam (d) past weather records
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
10. 10.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “naming a new leaf” is a prediction. (a) True (b) False
13. 13.True or false: “old emails marked spam” is training data. (a) True (b) False
14. 14.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) the trained program (d) recorded spoken words
15. 15.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
16. 16.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
20. 20.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
21. 21.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
23. 23.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
24. 24.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new leaf
25. 25.True or false: “past weather records” is a prediction. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
27. 27.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
28. 28.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
29. 29.True or false: “past weather records” is training data. (a) True (b) False
30. 30.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) typing a new spoken word (d) old emails marked spam
31. 31.True or false: “naming a new fruit photo” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
34. 34.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
35. 35.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
36. 36.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) the trained program (d) past weather records
37. 37.True or false: “what training builds” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
39. 39.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words

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