AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 879 · 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 naming a new leaf? (a) the learned patterns (b) naming a new leaf
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
4. 4.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
5. 5.True or false: “naming a new leaf” is a prediction. (a) True (b) False
6. 6.Which of these is the model? (a) the trained program (b) old emails marked spam (c) 500 labelled leaf photos (d) past weather records
7. 7.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
8. 8.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) past weather records
9. 9.True or false: “naming a new fruit photo” is training data. (a) True (b) False
10. 10.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
12. 12.True or false: “flagging a new email” is training data. (a) False (b) True
13. 13.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
16. 16.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) naming a new leaf
17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
18. 18.True or false: “the trained program” is the model. (a) True (b) False
19. 19.True or false: “labelled fruit photos” is the model. (a) True (b) False
20. 20.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the trained program (d) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
25. 25.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
26. 26.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
27. 27.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
28. 28.⏩ 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
29. 29.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
31. 31.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
33. 33.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
34. 34.⏩ 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
35. 35.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) past weather records
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
37. 37.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) tomorrow’s rain guess (d) old emails marked spam
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “recorded spoken words” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos

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