AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 649 · 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 is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
2. 2.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
4. 4.True or false: “the learned patterns” is a prediction. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
6. 6.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) past weather records
7. 7.True or false: “naming a new leaf” is a prediction. (a) False (b) True
8. 8.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
10. 10.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) the trained program
13. 13.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) typing a new spoken word (d) what training builds
14. 14.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) tomorrow’s rain guess (d) past weather records
19. 19.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
20. 20.⏩ 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
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
23. 23.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) tomorrow’s rain guess (d) recorded spoken words
24. 24.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new leaf (d) the trained program
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
31. 31.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) naming a new leaf (d) naming a new fruit photo
32. 32.True or false: “old emails marked spam” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
35. 35.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
38. 38.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) naming a new leaf
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
40. 40.True or false: “old emails marked spam” is a prediction. (a) False (b) True

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