AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 301 · 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.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
5. 5.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
6. 6.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
8. 8.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
9. 9.True or false: “naming a new fruit photo” is the model. (a) False (b) True
10. 10.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
12. 12.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) naming a new leaf (d) labelled fruit photos
13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
14. 14.⏩ 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
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
16. 16.⏩ 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
17. 17.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
18. 18.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) typing a new spoken word
19. 19.Which of these is a prediction? (a) past weather records (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
20. 20.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
23. 23.True or false: “the trained program” is the model. (a) False (b) True
24. 24.True or false: “the learned patterns” is the model. (a) True (b) False
25. 25.True or false: “the trained program” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
28. 28.True or false: “past weather records” is training data. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
31. 31.⏩ 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
32. 32.Which of these is the model? (a) naming a new leaf (b) past weather records (c) what training builds (d) 500 labelled leaf photos
33. 33.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
35. 35.True or false: “old emails marked spam” is the model. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “old emails marked spam” is a prediction. (a) False (b) True
38. 38.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) past weather records (d) tomorrow’s rain guess
39. 39.Which of these is the model? (a) past weather records (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
40. 40.True or false: “the learned patterns” is a prediction. (a) True (b) False

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