AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 822 · 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.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
3. 3.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
4. 4.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) flagging a new email
5. 5.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
7. 7.⏩ 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
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
10. 10.🧪 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
11. 11.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
14. 14.Which of these is the model? (a) past weather records (b) naming a new leaf (c) flagging a new email (d) the learned patterns
15. 15.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) naming a new leaf
16. 16.True or false: “recorded spoken words” is a prediction. (a) False (b) True
17. 17.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
18. 18.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
20. 20.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
21. 21.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
23. 23.True or false: “what training builds” is training data. (a) False (b) True
24. 24.True or false: “naming a new fruit photo” is the model. (a) True (b) False
25. 25.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) old emails marked spam (d) what training builds
26. 26.⏩ 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
27. 27.True or false: “typing a new spoken word” is training data. (a) False (b) True
28. 28.True or false: “the trained program” is training data. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “naming a new fruit photo” is training data. (a) False (b) True
31. 31.True or false: “past weather records” is training data. (a) True (b) False
32. 32.⏩ 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
33. 33.True or false: “the learned patterns” is training data. (a) True (b) False
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf

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