AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 609 · 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) recorded spoken words (b) past weather records (c) tomorrow’s rain guess (d) the learned patterns
2. 2.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
3. 3.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) what training builds
4. 4.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) what training builds
6. 6.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
7. 7.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) old emails marked spam
8. 8.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) typing a new spoken word (d) past weather records
9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
10. 10.True or false: “what training builds” is training data. (a) True (b) False
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) recorded spoken words (d) the trained program
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
15. 15.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) labelled fruit photos (d) naming a new leaf
16. 16.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
17. 17.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) the trained program (d) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
20. 20.⏩ 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
21. 21.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) labelled fruit photos (d) the learned patterns
22. 22.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
23. 23.True or false: “labelled fruit photos” is training data. (a) False (b) True
24. 24.⏩ 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
25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) the trained program (d) naming a new fruit photo
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
27. 27.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
28. 28.⏩ 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
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
32. 32.True or false: “typing a new spoken word” is the model. (a) True (b) False
33. 33.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
36. 36.True or false: “the learned patterns” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
38. 38.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) old emails marked spam (d) labelled fruit photos
39. 39.True or false: “naming a new leaf” is training data. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model

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