AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 651 · 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 the model? (a) past weather records (b) tomorrow’s rain guess (c) labelled fruit photos (d) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
3. 3.True or false: “past weather records” is training data. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
6. 6.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) flagging a new email (d) what training builds
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
11. 11.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
12. 12.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) flagging a new email
13. 13.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program
14. 14.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
15. 15.True or false: “old emails marked spam” is training data. (a) False (b) True
16. 16.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) naming a new leaf (d) what training builds
17. 17.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
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.🧪 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.True or false: “recorded spoken words” is training data. (a) False (b) True
21. 21.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
22. 22.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new leaf (d) naming a new fruit photo
23. 23.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
27. 27.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) the trained program (d) typing a new spoken word
28. 28.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
29. 29.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is training data? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) typing a new spoken word
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
34. 34.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) labelled fruit photos (d) the learned patterns
35. 35.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) labelled fruit photos (d) the trained program
36. 36.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
40. 40.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program

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