AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 812 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
2. 2.🧪 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
3. 3.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
6. 6.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
7. 7.True or false: “old emails marked spam” is training data. (a) False (b) True
8. 8.True or false: “flagging a new email” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
10. 10.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
12. 12.🔮 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
13. 13.Which of these is training data? (a) past weather records (b) what training builds (c) tomorrow’s rain guess (d) naming a new fruit photo
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) typing a new spoken word (d) the learned patterns
16. 16.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
18. 18.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
19. 19.True or false: “old emails marked spam” is a prediction. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
21. 21.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
23. 23.⏩ 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
24. 24.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the learned patterns (d) recorded spoken words
25. 25.Which of these is the model? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
26. 26.True or false: “what training builds” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “the learned patterns” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
35. 35.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) naming a new fruit photo
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
37. 37.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “what training builds” is training data. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction

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