AI Worksheet: Training Data, Model, Prediction

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

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