AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 693 · 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: “tomorrow’s rain guess” is training data. (a) False (b) True
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
4. 4.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
7. 7.⏩ 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
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
9. 9.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
10. 10.True or false: “typing a new spoken word” is training data. (a) True (b) False
11. 11.True or false: “past weather records” is a prediction. (a) True (b) False
12. 12.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
15. 15.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) old emails marked spam (d) naming a new fruit photo
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
17. 17.True or false: “the trained program” is the model. (a) True (b) False
18. 18.⏩ 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
19. 19.Which of these is the model? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) recorded spoken words
20. 20.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “naming a new leaf” is training data. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
26. 26.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
27. 27.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
31. 31.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
33. 33.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
34. 34.True or false: “recorded spoken words” is training data. (a) False (b) True
35. 35.True or false: “old emails marked spam” is the model. (a) False (b) True
36. 36.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
37. 37.True or false: “the trained program” is training data. (a) True (b) False
38. 38.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the trained program (d) typing a new spoken word
39. 39.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
40. 40.True or false: “the trained program” is a prediction. (a) False (b) True

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