AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 797 · 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.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) naming a new leaf (d) what training builds
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is training data? (a) recorded spoken words (b) what training builds (c) the trained program (d) typing a new spoken word
6. 6.True or false: “naming a new leaf” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
9. 9.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
11. 11.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
12. 12.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the learned patterns (d) old emails marked spam
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “naming a new fruit photo” is the model. (a) False (b) True
15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
18. 18.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
19. 19.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
22. 22.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
26. 26.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
29. 29.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
30. 30.True or false: “what training builds” is training data. (a) False (b) True
31. 31.True or false: “what training builds” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
33. 33.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) what training builds (d) naming a new fruit photo
34. 34.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
35. 35.True or false: “the learned patterns” is the model. (a) True (b) False
36. 36.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
38. 38.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
39. 39.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
40. 40.True or false: “old emails marked spam” is the model. (a) False (b) True

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