AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 868 · 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 learned patterns”? (a) a prediction (b) the model (c) training data
2. 2.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is the model? (a) flagging a new email (b) past weather records (c) the learned patterns (d) old emails marked spam
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
7. 7.True or false: “what training builds” is the model. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.🧪 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
10. 10.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email
11. 11.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) what training builds
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
15. 15.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) old emails marked spam (d) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
18. 18.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.True or false: “recorded spoken words” is the model. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
23. 23.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) naming a new fruit photo
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
27. 27.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) tomorrow’s rain guess (d) 500 labelled leaf photos
28. 28.Which of these is the model? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
29. 29.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
30. 30.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
33. 33.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.⏩ 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
37. 37.Which of these is the model? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
39. 39.Which of these is a prediction? (a) past weather records (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam

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