AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 562 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
2. 2.True or false: “naming a new fruit photo” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
5. 5.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
6. 6.True or false: “typing a new spoken word” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
8. 8.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
9. 9.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
10. 10.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) past weather records (d) what training builds
11. 11.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
12. 12.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
13. 13.True or false: “the learned patterns” is training data. (a) False (b) True
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
16. 16.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
17. 17.True or false: “recorded spoken words” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
19. 19.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) typing a new spoken word
20. 20.True or false: “old emails marked spam” is the model. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
22. 22.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
25. 25.Which of these is the model? (a) the trained program (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
26. 26.True or false: “the learned patterns” is the model. (a) True (b) False
27. 27.Which of these is training data? (a) flagging a new email (b) the trained program (c) what training builds (d) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
29. 29.Which of these is training data? (a) what training builds (b) the learned patterns (c) 500 labelled leaf photos (d) tomorrow’s rain guess
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
31. 31.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
32. 32.True or false: “recorded spoken words” is a prediction. (a) True (b) False
33. 33.True or false: “what training builds” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
35. 35.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
36. 36.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
37. 37.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction

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