AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 966 · 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: “naming a new leaf”? (a) a prediction (b) training data (c) the model
2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) what training builds (d) recorded spoken words
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
4. 4.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
8. 8.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) the trained program (d) old emails marked spam
9. 9.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
12. 12.True or false: “past weather records” is the model. (a) True (b) False
13. 13.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
16. 16.⏩ 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
17. 17.True or false: “labelled fruit photos” is the model. (a) False (b) True
18. 18.True or false: “old emails marked spam” is a prediction. (a) False (b) True
19. 19.True or false: “what training builds” is the model. (a) False (b) True
20. 20.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
21. 21.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the trained program (d) naming a new leaf
22. 22.True or false: “naming a new leaf” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
24. 24.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) what training builds (d) labelled fruit photos
25. 25.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
27. 27.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) typing a new spoken word (d) recorded spoken words
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
30. 30.True or false: “the learned patterns” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
32. 32.True or false: “old emails marked spam” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
34. 34.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) past weather records (d) the learned patterns
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
36. 36.True or false: “flagging a new email” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
38. 38.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
40. 40.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) naming a new fruit photo (d) old emails marked spam

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