AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 277 · 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: “flagging a new email” is training data. (a) False (b) True
2. 2.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) old emails marked spam (d) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) recorded spoken words
5. 5.True or false: “past weather records” is the model. (a) True (b) False
6. 6.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
7. 7.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
8. 8.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
10. 10.True or false: “the learned patterns” is the model. (a) True (b) False
11. 11.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) typing a new spoken word
14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
16. 16.⏩ 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
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
18. 18.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
19. 19.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
20. 20.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) what training builds
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
25. 25.True or false: “typing a new spoken word” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
27. 27.True or false: “what training builds” is training data. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
29. 29.True or false: “naming a new leaf” is a prediction. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
32. 32.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
33. 33.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
34. 34.⏩ 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
35. 35.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) the learned patterns
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “recorded spoken words” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
39. 39.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False

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