AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 903 · 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: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
2. 2.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
3. 3.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) naming a new fruit photo
4. 4.True or false: “what training builds” is a prediction. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
6. 6.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
7. 7.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
9. 9.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
10. 10.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the learned patterns (d) old emails marked spam
11. 11.True or false: “labelled fruit photos” is the model. (a) False (b) True
12. 12.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
14. 14.True or false: “naming a new leaf” is training data. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) past weather records (d) typing a new spoken word
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
18. 18.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) old emails marked spam (d) naming a new leaf
19. 19.True or false: “old emails marked spam” is a prediction. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
21. 21.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) what training builds
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.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) naming a new leaf (d) recorded spoken words
24. 24.🧪 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
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “old emails marked spam” is training data. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
29. 29.⏩ 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
30. 30.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
33. 33.True or false: “recorded spoken words” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “the learned patterns” is a prediction. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
40. 40.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) typing a new spoken word (d) past weather records

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