AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 179 · 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: “past weather records”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “flagging a new email” is the model. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
5. 5.True or false: “the learned patterns” is the model. (a) True (b) False
6. 6.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
7. 7.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
9. 9.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) typing a new spoken word (d) recorded spoken words
10. 10.True or false: “typing a new spoken word” is training data. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
13. 13.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
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.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
16. 16.Which of these is training data? (a) past weather records (b) naming a new leaf (c) typing a new spoken word (d) tomorrow’s rain guess
17. 17.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) what training builds (d) past weather records
18. 18.True or false: “recorded spoken words” is training data. (a) True (b) False
19. 19.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
22. 22.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
24. 24.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) past weather records (d) 500 labelled leaf photos
25. 25.True or false: “recorded spoken words” is the model. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
27. 27.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) typing a new spoken word (d) what training builds
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
29. 29.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) labelled fruit photos
30. 30.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
31. 31.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
37. 37.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
38. 38.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
39. 39.True or false: “labelled fruit photos” is the model. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data

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