AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 172 · 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.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
2. 2.True or false: “naming a new fruit photo” is training data. (a) False (b) True
3. 3.Which of these is training data? (a) recorded spoken words (b) the trained program (c) what training builds (d) typing a new spoken word
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
6. 6.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
10. 10.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
15. 15.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
16. 16.True or false: “past weather records” is training data. (a) True (b) False
17. 17.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
21. 21.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
23. 23.True or false: “flagging a new email” is the model. (a) False (b) True
24. 24.True or false: “the learned patterns” is training data. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
27. 27.⏩ 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
28. 28.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
29. 29.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
30. 30.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) naming a new leaf (d) tomorrow’s rain guess
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
32. 32.True or false: “typing a new spoken word” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.⏩ 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
37. 37.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) old emails marked spam (d) the learned patterns
38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
39. 39.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) past weather records
40. 40.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo

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