AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 196 · 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) a prediction (c) the model
2. 2.Which of these is the model? (a) flagging a new email (b) the trained program (c) tomorrow’s rain guess (d) naming a new fruit photo
3. 3.True or false: “naming a new fruit photo” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
5. 5.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
6. 6.True or false: “flagging a new email” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
8. 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
9. 9.Which of these is the model? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “old emails marked spam” is a prediction. (a) False (b) True
14. 14.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) past weather records (d) flagging a new email
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
17. 17.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) past weather records (d) old emails marked spam
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
19. 19.⏩ 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
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “typing a new spoken word” is the model. (a) False (b) True
25. 25.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
29. 29.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words
30. 30.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
31. 31.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) what training builds (d) past weather records
32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) labelled fruit photos
33. 33.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
34. 34.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
37. 37.⏩ 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
38. 38.True or false: “naming a new fruit photo” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email

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