AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 117 · 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: “labelled fruit photos” is a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
6. 6.True or false: “what training builds” is the model. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
8. 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
9. 9.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) flagging a new email (d) past weather records
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “naming a new leaf” is the model. (a) False (b) True
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
13. 13.⏩ 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
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) naming a new fruit photo (d) the learned patterns
16. 16.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) what training builds
17. 17.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
18. 18.True or false: “recorded spoken words” is training data. (a) True (b) False
19. 19.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
20. 20.True or false: “labelled fruit photos” is the model. (a) True (b) False
21. 21.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
22. 22.True or false: “naming a new leaf” is a prediction. (a) True (b) False
23. 23.Which of these is training data? (a) recorded spoken words (b) the trained program (c) what training builds (d) naming a new fruit photo
24. 24.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) flagging a new email (d) naming a new leaf
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
27. 27.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
29. 29.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) tomorrow’s rain guess (d) old emails marked spam
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
33. 33.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
34. 34.True or false: “the learned patterns” is a prediction. (a) False (b) True
35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
36. 36.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
38. 38.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
39. 39.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) past weather records (d) the learned patterns
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words

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