AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 514 · 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: “what training builds”? (a) a prediction (b) training data (c) the model
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
4. 4.True or false: “typing a new spoken word” is training data. (a) False (b) True
5. 5.True or false: “past weather records” is a prediction. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
7. 7.True or false: “recorded spoken words” is a prediction. (a) False (b) True
8. 8.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the trained program (d) recorded spoken words
9. 9.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
10. 10.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) flagging a new email (d) naming a new leaf
11. 11.True or false: “naming a new fruit photo” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
14. 14.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
15. 15.⏩ 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
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
17. 17.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
18. 18.True or false: “the trained program” is the model. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
22. 22.True or false: “flagging a new email” is training data. (a) False (b) True
23. 23.🔮 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
24. 24.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
25. 25.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
26. 26.True or false: “what training builds” is the model. (a) True (b) False
27. 27.True or false: “labelled fruit photos” is the model. (a) False (b) True
28. 28.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new fruit photo (d) the learned patterns
29. 29.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) typing a new spoken word
30. 30.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) flagging a new email (d) what training builds
31. 31.⏩ 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
32. 32.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
33. 33.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) naming a new fruit photo (d) what training builds
35. 35.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
38. 38.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) the learned patterns
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words

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