AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 202 · 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.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
2. 2.True or false: “typing a new spoken word” is the model. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “naming a new leaf” is the model. (a) True (b) False
9. 9.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) past weather records (d) flagging a new email
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
11. 11.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
12. 12.⏩ 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
13. 13.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
14. 14.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
19. 19.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
20. 20.🧪 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
21. 21.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) old emails marked spam (d) flagging a new email
22. 22.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
23. 23.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) what training builds (d) recorded spoken words
24. 24.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “what training builds” is the model. (a) False (b) True
27. 27.True or false: “recorded spoken words” is training data. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
29. 29.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
35. 35.True or false: “typing a new spoken word” is training data. (a) False (b) True
36. 36.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
37. 37.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) labelled fruit photos
38. 38.True or false: “old emails marked spam” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos

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