AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 747 · 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: “recorded spoken words” is training data. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
3. 3.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
6. 6.True or false: “naming a new leaf” is the model. (a) True (b) False
7. 7.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
12. 12.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
13. 13.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
14. 14.⏩ 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
15. 15.True or false: “old emails marked spam” is a prediction. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
19. 19.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) 500 labelled leaf photos
20. 20.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) naming a new fruit photo
21. 21.True or false: “flagging a new email” is the model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
23. 23.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the trained program (d) naming a new leaf
24. 24.True or false: “old emails marked spam” is the model. (a) False (b) True
25. 25.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
26. 26.Which of these is training data? (a) the learned patterns (b) what training builds (c) past weather records (d) flagging a new email
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
29. 29.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
32. 32.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
33. 33.🔮 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
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
36. 36.Which of these is the model? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction

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