AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 433 · 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: “the trained program” is training data. (a) True (b) False
2. 2.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
3. 3.True or false: “the learned patterns” is a prediction. (a) True (b) False
4. 4.True or false: “past weather records” is training data. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
8. 8.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
9. 9.True or false: “past weather records” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
11. 11.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) naming a new fruit photo (d) flagging a new email
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
13. 13.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
14. 14.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
15. 15.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
17. 17.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
18. 18.True or false: “recorded spoken words” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
25. 25.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
26. 26.Which of these is a prediction? (a) what training builds (b) past weather records (c) flagging a new email (d) recorded spoken words
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
28. 28.True or false: “naming a new fruit photo” is the model. (a) False (b) True
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new fruit photo (d) tomorrow’s rain guess
32. 32.True or false: “what training builds” is a prediction. (a) True (b) False
33. 33.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) past weather records
34. 34.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
35. 35.Which of these is training data? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
36. 36.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data

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