AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 474 · 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) naming a new leaf (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
2. 2.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
6. 6.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
7. 7.Which of these is training data? (a) naming a new leaf (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
10. 10.Which of these is training data? (a) what training builds (b) the learned patterns (c) 500 labelled leaf photos (d) the trained program
11. 11.Which of these is training data? (a) past weather records (b) the learned patterns (c) what training builds (d) naming a new fruit photo
12. 12.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
13. 13.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) the learned patterns (d) the trained program
14. 14.True or false: “what training builds” is the model. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
16. 16.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) labelled fruit photos (d) naming a new fruit photo
17. 17.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
19. 19.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) labelled fruit photos (d) past weather records
20. 20.True or false: “old emails marked spam” is training data. (a) False (b) True
21. 21.True or false: “typing a new spoken word” is the model. (a) False (b) True
22. 22.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) naming a new leaf (d) the trained program
23. 23.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
24. 24.True or false: “naming a new fruit photo” is the model. (a) True (b) False
25. 25.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
26. 26.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
27. 27.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “labelled fruit photos” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
32. 32.True or false: “recorded spoken words” is the model. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
34. 34.True or false: “old emails marked spam” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
37. 37.⏩ 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
38. 38.True or false: “the trained program” is the model. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
40. 40.True or false: “flagging a new email” is a prediction. (a) False (b) True

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