AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 306 · 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) typing a new spoken word (b) past weather records (c) the trained program (d) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
3. 3.True or false: “the learned patterns” is the model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) flagging a new email (d) the learned patterns
8. 8.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
9. 9.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
10. 10.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
11. 11.Which of these is the model? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) typing a new spoken word
12. 12.⏩ 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
13. 13.🧪 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
14. 14.True or false: “flagging a new email” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
21. 21.True or false: “old emails marked spam” is the model. (a) False (b) True
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
23. 23.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
24. 24.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) the learned patterns
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
27. 27.True or false: “the trained program” is the model. (a) True (b) False
28. 28.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new leaf
29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “labelled fruit photos” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
33. 33.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) old emails marked spam (d) past weather records
34. 34.True or false: “the learned patterns” is a prediction. (a) True (b) False
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.True or false: “recorded spoken words” is a prediction. (a) False (b) True
37. 37.True or false: “the trained program” is training data. (a) True (b) False
38. 38.Which of these is training data? (a) the trained program (b) recorded spoken words (c) the learned patterns (d) naming a new fruit photo
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model

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