AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 616 · 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: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “the trained program” is the model. (a) False (b) True
6. 6.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
11. 11.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) naming a new fruit photo (d) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
13. 13.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) the trained program
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “past weather records” is the model. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
17. 17.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
21. 21.⏩ 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
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
23. 23.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) recorded spoken words
24. 24.True or false: “the learned patterns” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
26. 26.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
29. 29.True or false: “typing a new spoken word” is the model. (a) True (b) False
30. 30.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) labelled fruit photos (d) typing a new spoken word
31. 31.Which of these is training data? (a) recorded spoken words (b) what training builds (c) naming a new leaf (d) typing a new spoken word
32. 32.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) old emails marked spam
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
34. 34.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) flagging a new email (d) past weather records
35. 35.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
36. 36.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
38. 38.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction

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