AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 568 · 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.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
2. 2.True or false: “naming a new fruit photo” is the model. (a) True (b) False
3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
6. 6.True or false: “old emails marked spam” is the model. (a) True (b) False
7. 7.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
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.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “the learned patterns” is a prediction. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
12. 12.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new fruit photo
13. 13.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
14. 14.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
15. 15.⏩ 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
16. 16.Which of these is a prediction? (a) past weather records (b) what training builds (c) recorded spoken words (d) naming a new fruit photo
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) recorded spoken words
21. 21.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) recorded spoken words (d) the trained program
22. 22.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) 500 labelled leaf photos (d) flagging a new email
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
24. 24.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
25. 25.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
26. 26.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
27. 27.True or false: “the trained program” is training data. (a) True (b) False
28. 28.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
29. 29.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) flagging a new email
30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
33. 33.True or false: “naming a new fruit photo” is training data. (a) False (b) True
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
37. 37.True or false: “the trained program” is a prediction. (a) False (b) True
38. 38.Which of these is training data? (a) past weather records (b) what training builds (c) flagging a new email (d) naming a new fruit photo
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
40. 40.⏩ 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

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