AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 366 · 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 recorded spoken words? (a) the trained program (b) recorded spoken words
2. 2.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “the learned patterns” is training data. (a) False (b) True
7. 7.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
9. 9.Which of these is training data? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) typing a new spoken word
10. 10.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) labelled fruit photos (d) recorded spoken words
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
12. 12.Which of these is the model? (a) recorded spoken words (b) what training builds (c) naming a new leaf (d) typing a new spoken word
13. 13.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
14. 14.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) tomorrow’s rain guess (d) old emails marked spam
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
17. 17.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.True or false: “old emails marked spam” is training data. (a) True (b) False
20. 20.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) past weather records (d) naming a new fruit photo
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
22. 22.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) tomorrow’s rain guess (d) the trained program
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “past weather records” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
26. 26.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
27. 27.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
28. 28.True or false: “past weather records” is a prediction. (a) True (b) False
29. 29.True or false: “naming a new fruit photo” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
32. 32.True or false: “naming a new leaf” is the model. (a) True (b) False
33. 33.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
34. 34.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
37. 37.True or false: “the trained program” is the model. (a) True (b) False
38. 38.True or false: “past weather records” is the model. (a) True (b) False
39. 39.True or false: “old emails marked spam” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words

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