AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 872 · 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: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
3. 3.True or false: “past weather records” is the model. (a) False (b) True
4. 4.True or false: “old emails marked spam” is the model. (a) True (b) False
5. 5.⏩ 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
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “old emails marked spam” is training data. (a) False (b) True
10. 10.True or false: “what training builds” is the model. (a) False (b) True
11. 11.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) flagging a new email
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) the trained program (d) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
21. 21.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
22. 22.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
24. 24.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
26. 26.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) the trained program (d) labelled fruit photos
27. 27.True or false: “flagging a new email” is training data. (a) False (b) True
28. 28.True or false: “the trained program” is training data. (a) True (b) False
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) flagging a new email
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
32. 32.True or false: “recorded spoken words” is the model. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “recorded spoken words” is a prediction. (a) True (b) False
35. 35.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
36. 36.Which of these is training data? (a) past weather records (b) naming a new leaf (c) the trained program (d) flagging a new email
37. 37.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) past weather records (d) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
39. 39.True or false: “the trained program” is the model. (a) True (b) False
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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