AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 558 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
4. 4.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
7. 7.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) naming a new leaf
8. 8.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) 500 labelled leaf photos
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
11. 11.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) what training builds (d) naming a new leaf
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
14. 14.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
19. 19.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) past weather records (d) the trained program
20. 20.⏩ 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
21. 21.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
22. 22.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
23. 23.⏩ 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
24. 24.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
26. 26.True or false: “naming a new leaf” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
28. 28.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
30. 30.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
31. 31.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
32. 32.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
33. 33.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
34. 34.⏩ 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
35. 35.Which of these is the model? (a) flagging a new email (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
39. 39.True or false: “past weather records” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email

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