AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 439 · 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: “labelled fruit photos” is training data. (a) False (b) True
2. 2.True or false: “old emails marked spam” is training data. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
5. 5.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
8. 8.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) old emails marked spam (d) naming a new fruit photo
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) flagging a new email (d) labelled fruit photos
11. 11.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
12. 12.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
16. 16.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) old emails marked spam
17. 17.Which of these is training data? (a) what training builds (b) naming a new leaf (c) flagging a new email (d) past weather records
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “past weather records” is a prediction. (a) False (b) True
23. 23.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
24. 24.True or false: “the learned patterns” is a prediction. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
26. 26.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) typing a new spoken word
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
28. 28.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
30. 30.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
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: “past weather records”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
36. 36.Which of these is training data? (a) the learned patterns (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
38. 38.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) what training builds (d) naming a new fruit photo
39. 39.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model

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