AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 404 · 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.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
2. 2.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
3. 3.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) 500 labelled leaf photos (d) the learned patterns
4. 4.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) old emails marked spam (d) tomorrow’s rain guess
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
7. 7.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
8. 8.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
13. 13.True or false: “recorded spoken words” is the model. (a) True (b) False
14. 14.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) labelled fruit photos
15. 15.True or false: “naming a new leaf” is a prediction. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
18. 18.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
19. 19.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
22. 22.⏩ 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
23. 23.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) past weather records (d) what training builds
26. 26.⏩ 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
27. 27.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) recorded spoken words (d) the learned patterns
28. 28.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) the trained program (d) what training builds
29. 29.True or false: “what training builds” is the model. (a) True (b) False
30. 30.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds
31. 31.True or false: “labelled fruit photos” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “naming a new fruit photo” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “labelled fruit photos” is training data. (a) False (b) True
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
40. 40.True or false: “past weather records” is training data. (a) True (b) False

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