AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 354 · 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 fruit photo”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) labelled fruit photos (d) past weather records
3. 3.Which of these is training data? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) flagging a new email
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
6. 6.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
7. 7.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
8. 8.Which of these is training data? (a) the learned patterns (b) the trained program (c) flagging a new email (d) 500 labelled leaf photos
9. 9.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
10. 10.Which of these is the model? (a) naming a new leaf (b) past weather records (c) the trained program (d) old emails marked spam
11. 11.⏩ 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
12. 12.True or false: “the learned patterns” is the model. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
14. 14.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
16. 16.True or false: “the trained program” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
19. 19.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
21. 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
22. 22.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
23. 23.True or false: “naming a new leaf” is a prediction. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
25. 25.True or false: “the trained program” is the model. (a) False (b) True
26. 26.True or false: “naming a new leaf” is training data. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
33. 33.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) past weather records (d) what training builds
34. 34.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
36. 36.True or false: “naming a new fruit photo” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
40. 40.Which of these is training data? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) the trained program

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