AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 530 · 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.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) recorded spoken words (d) naming a new fruit photo
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
3. 3.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) typing a new spoken word
4. 4.True or false: “recorded spoken words” is a prediction. (a) True (b) False
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
6. 6.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
8. 8.Which of these is training data? (a) the trained program (b) past weather records (c) flagging a new email (d) the learned patterns
9. 9.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
11. 11.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
13. 13.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
14. 14.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
15. 15.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new fruit photo
16. 16.True or false: “typing a new spoken word” is training data. (a) True (b) False
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
18. 18.Which of these is a prediction? (a) the trained program (b) what training builds (c) flagging a new email (d) labelled fruit photos
19. 19.True or false: “old emails marked spam” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
21. 21.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
23. 23.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
24. 24.Which of these is training data? (a) what training builds (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
25. 25.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
27. 27.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
30. 30.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
33. 33.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
38. 38.⏩ 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
39. 39.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
40. 40.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) the trained program (d) old emails marked spam

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