AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 854 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) the trained program (d) naming a new leaf
4. 4.Which of these is training data? (a) past weather records (b) what training builds (c) the trained program (d) typing a new spoken word
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
6. 6.Which of these is the model? (a) naming a new leaf (b) past weather records (c) labelled fruit photos (d) what training builds
7. 7.True or false: “naming a new leaf” is the model. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
9. 9.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
10. 10.⏩ 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
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
12. 12.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
14. 14.⏩ 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
15. 15.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) what training builds (d) labelled fruit photos
16. 16.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) the trained program
17. 17.True or false: “past weather records” is training data. (a) True (b) False
18. 18.True or false: “naming a new leaf” is a prediction. (a) True (b) False
19. 19.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
21. 21.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
23. 23.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
24. 24.⏩ 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
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) the trained program (d) recorded spoken words
26. 26.True or false: “the trained program” is a prediction. (a) False (b) True
27. 27.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
28. 28.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
29. 29.True or false: “recorded spoken words” is training data. (a) True (b) False
30. 30.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) what training builds (d) tomorrow’s rain guess
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
35. 35.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
37. 37.True or false: “the learned patterns” is the model. (a) True (b) False
38. 38.Which of these is the model? (a) past weather records (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos

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