AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 375 · 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: “old emails marked spam”? (a) the model (b) training data (c) a prediction
2. 2.🧪 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
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is the model? (a) the trained program (b) past weather records (c) naming a new leaf (d) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
7. 7.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) past weather records (d) tomorrow’s rain guess
8. 8.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
9. 9.True or false: “typing a new spoken word” is the model. (a) True (b) False
10. 10.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
13. 13.⏩ 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
14. 14.True or false: “recorded spoken words” is training data. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
16. 16.True or false: “labelled fruit photos” is the model. (a) True (b) False
17. 17.True or false: “recorded spoken words” is a prediction. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) the learned patterns
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
21. 21.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
22. 22.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
23. 23.True or false: “the learned patterns” is training data. (a) True (b) False
24. 24.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) naming a new leaf
25. 25.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
27. 27.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) recorded spoken words (d) 500 labelled leaf photos
28. 28.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) recorded spoken words (d) the trained program
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
30. 30.True or false: “flagging a new email” is a prediction. (a) True (b) False
31. 31.True or false: “naming a new fruit photo” is the model. (a) True (b) False
32. 32.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
34. 34.True or false: “naming a new fruit photo” is training data. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records

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