AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 377 · 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.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) the learned patterns
2. 2.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
4. 4.True or false: “flagging a new email” is a prediction. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
6. 6.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
7. 7.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
8. 8.True or false: “past weather records” is a prediction. (a) False (b) True
9. 9.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) old emails marked spam (d) flagging a new email
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
12. 12.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
13. 13.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “what training builds” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is training data? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
25. 25.True or false: “old emails marked spam” is a prediction. (a) False (b) True
26. 26.True or false: “the learned patterns” is training data. (a) False (b) True
27. 27.Which of these is the model? (a) past weather records (b) flagging a new email (c) the trained program (d) naming a new fruit photo
28. 28.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
30. 30.⏩ 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
31. 31.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
36. 36.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
37. 37.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) old emails marked spam (d) 500 labelled leaf photos
38. 38.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
40. 40.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) naming a new fruit photo (d) 500 labelled leaf photos

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