AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 713 · 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: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
2. 2.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) recorded spoken words (d) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
4. 4.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
5. 5.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
8. 8.🔮 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
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
10. 10.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
12. 12.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
17. 17.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) labelled fruit photos (d) naming a new fruit photo
18. 18.True or false: “flagging a new email” is the model. (a) False (b) True
19. 19.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
20. 20.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
23. 23.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
24. 24.Which of these is the model? (a) past weather records (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
25. 25.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
29. 29.True or false: “old emails marked spam” is training data. (a) False (b) True
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) labelled fruit photos (d) flagging a new email
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
33. 33.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
34. 34.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) typing a new spoken word (d) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
39. 39.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) old emails marked spam (d) the learned patterns
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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