AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 773 · 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: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
2. 2.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
4. 4.🧪 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
5. 5.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) old emails marked spam
6. 6.True or false: “flagging a new email” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is the model? (a) past weather records (b) the trained program (c) naming a new leaf (d) naming a new fruit photo
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
11. 11.⏩ 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
12. 12.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) old emails marked spam (d) flagging a new email
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
15. 15.🔮 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
16. 16.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
17. 17.True or false: “labelled fruit photos” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
19. 19.True or false: “naming a new leaf” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
21. 21.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
22. 22.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
23. 23.True or false: “the trained program” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
26. 26.True or false: “recorded spoken words” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) old emails marked spam (d) naming a new leaf
32. 32.True or false: “typing a new spoken word” is the model. (a) True (b) False
33. 33.True or false: “old emails marked spam” is training data. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
35. 35.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
36. 36.True or false: “recorded spoken words” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
39. 39.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data

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