AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 458 · 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 training data. (a) True (b) False
2. 2.⏩ 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
3. 3.True or false: “what training builds” is training data. (a) True (b) False
4. 4.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) old emails marked spam (d) typing a new spoken word
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “flagging a new email” is the model. (a) False (b) True
10. 10.True or false: “the learned patterns” is training data. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
12. 12.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
14. 14.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
15. 15.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
19. 19.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.True or false: “the trained program” is the model. (a) True (b) False
23. 23.🔮 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
24. 24.True or false: “naming a new fruit photo” is training data. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
27. 27.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
28. 28.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
30. 30.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
32. 32.🧪 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
33. 33.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
35. 35.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) labelled fruit photos
36. 36.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) what training builds (d) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
38. 38.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
40. 40.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam

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