AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 259 · 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: “the learned patterns” is training data. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
3. 3.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) flagging a new email
4. 4.True or false: “recorded spoken words” is the model. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
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.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
9. 9.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
11. 11.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) tomorrow’s rain guess (d) the trained program
12. 12.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
13. 13.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) the trained program (d) naming a new fruit photo
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
19. 19.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
20. 20.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) 500 labelled leaf photos (d) what training builds
21. 21.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
23. 23.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
24. 24.True or false: “old emails marked spam” is training data. (a) True (b) False
25. 25.True or false: “flagging a new email” is the model. (a) True (b) False
26. 26.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
27. 27.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
30. 30.True or false: “past weather records” is training data. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
32. 32.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
33. 33.⏩ 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
34. 34.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) flagging a new email (d) past weather records
35. 35.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) flagging a new email (d) recorded spoken words
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) what training builds (d) the learned patterns
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “what training builds” is training data. (a) True (b) False
40. 40.True or false: “flagging a new email” is a prediction. (a) False (b) True

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