AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 183 · 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 leaf”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
3. 3.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
4. 4.Which of these is the model? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) typing a new spoken word
5. 5.True or false: “naming a new leaf” is training data. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
8. 8.True or false: “the trained program” is the model. (a) False (b) True
9. 9.True or false: “recorded spoken words” is training data. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
11. 11.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) the trained program (d) typing a new spoken word
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
13. 13.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
14. 14.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
15. 15.🧪 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
16. 16.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
18. 18.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
19. 19.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
20. 20.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
21. 21.True or false: “what training builds” is a prediction. (a) False (b) True
22. 22.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) labelled fruit photos (d) the trained program
23. 23.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
24. 24.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
26. 26.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new leaf
27. 27.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
28. 28.True or false: “naming a new fruit photo” is the model. (a) False (b) True
29. 29.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
30. 30.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) what training builds (d) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “the trained program” is a prediction. (a) False (b) True
36. 36.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
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: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
39. 39.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model

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