AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 708 · 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 a prediction? (a) naming a new leaf (b) what training builds (c) labelled fruit photos (d) the trained program
2. 2.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
3. 3.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
6. 6.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is training data? (a) naming a new leaf (b) the trained program (c) tomorrow’s rain guess (d) labelled fruit photos
11. 11.True or false: “old emails marked spam” is the model. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
13. 13.Which of these is training data? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
14. 14.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
15. 15.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
16. 16.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) past weather records (d) what training builds
17. 17.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
21. 21.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
22. 22.🔮 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
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “old emails marked spam” is training data. (a) False (b) True
25. 25.⏩ 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
26. 26.True or false: “past weather records” is training data. (a) False (b) True
27. 27.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the trained program (d) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
29. 29.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) old emails marked spam
30. 30.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
31. 31.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
32. 32.True or false: “the learned patterns” is training data. (a) False (b) True
33. 33.True or false: “recorded spoken words” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
35. 35.⏩ 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
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: what training builds or past weather records? (a) what training builds (b) past weather records
38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
39. 39.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
40. 40.True or false: “typing a new spoken word” is the model. (a) False (b) True

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