AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 729 · 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: “past weather records” is training data. (a) True (b) False
2. 2.True or false: “recorded spoken words” is the model. (a) True (b) False
3. 3.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) past weather records
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
6. 6.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
7. 7.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
8. 8.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “what training builds” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
13. 13.🧪 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
14. 14.True or false: “what training builds” is a prediction. (a) True (b) False
15. 15.True or false: “the trained program” is training data. (a) False (b) True
16. 16.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
17. 17.True or false: “the trained program” is the model. (a) False (b) True
18. 18.True or false: “naming a new leaf” is a prediction. (a) True (b) False
19. 19.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
20. 20.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
23. 23.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
24. 24.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
27. 27.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) the learned patterns (d) typing a new spoken word
28. 28.Which of these is training data? (a) naming a new leaf (b) what training builds (c) labelled fruit photos (d) the learned patterns
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
30. 30.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
31. 31.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
35. 35.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) recorded spoken words
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
37. 37.True or false: “past weather records” is a prediction. (a) True (b) False
38. 38.⏩ 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
39. 39.True or false: “naming a new fruit photo” is training data. (a) True (b) False
40. 40.True or false: “labelled fruit photos” is the model. (a) False (b) True

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