AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 299 · 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) old emails marked spam (c) the trained program (d) typing a new spoken word
2. 2.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) tomorrow’s rain guess (d) old emails marked spam
3. 3.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
5. 5.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) tomorrow’s rain guess
6. 6.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) the learned patterns (d) labelled fruit photos
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
9. 9.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
10. 10.True or false: “flagging a new email” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
12. 12.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
13. 13.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) old emails marked spam
14. 14.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) naming a new leaf
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
16. 16.True or false: “what training builds” is the model. (a) True (b) False
17. 17.⏩ 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
18. 18.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
20. 20.True or false: “what training builds” is a prediction. (a) True (b) False
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “recorded spoken words” is training data. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
25. 25.True or false: “past weather records” is the model. (a) True (b) False
26. 26.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) typing a new spoken word
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
30. 30.⏩ 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
31. 31.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
32. 32.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
37. 37.True or false: “typing a new spoken word” is the model. (a) True (b) False
38. 38.⏩ 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
39. 39.True or false: “flagging a new email” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns

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