AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 316 · 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 training data? (a) what training builds (b) recorded spoken words (c) the learned patterns (d) the trained program
2. 2.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) the trained program (d) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) old emails marked spam (d) the trained program
11. 11.True or false: “past weather records” is the model. (a) True (b) False
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
13. 13.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
15. 15.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) recorded spoken words (d) old emails marked spam
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
17. 17.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
18. 18.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the learned patterns
19. 19.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
21. 21.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
22. 22.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
23. 23.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
24. 24.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
25. 25.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) naming a new leaf (d) past weather records
26. 26.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) recorded spoken words (d) 500 labelled leaf photos
27. 27.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) flagging a new email (d) the trained program
28. 28.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
35. 35.⏩ 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
36. 36.True or false: “the learned patterns” is the model. (a) True (b) False
37. 37.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) the trained program (d) flagging a new email
38. 38.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) flagging a new email (d) what training builds
39. 39.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

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