AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 870 · 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: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) naming a new fruit photo (d) tomorrow’s rain guess
5. 5.⏩ 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
6. 6.True or false: “typing a new spoken word” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
12. 12.Which of these is the model? (a) the learned patterns (b) past weather records (c) old emails marked spam (d) typing a new spoken word
13. 13.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
14. 14.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
16. 16.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
17. 17.🔮 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
18. 18.True or false: “flagging a new email” is a prediction. (a) True (b) False
19. 19.True or false: “the learned patterns” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
21. 21.True or false: “naming a new leaf” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
26. 26.True or false: “old emails marked spam” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
28. 28.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
31. 31.⏩ 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
32. 32.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) 500 labelled leaf photos (d) tomorrow’s rain guess
33. 33.Which of these is a prediction? (a) the trained program (b) past weather records (c) old emails marked spam (d) naming a new leaf
34. 34.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
37. 37.⏩ 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
38. 38.True or false: “the learned patterns” is the model. (a) False (b) True
39. 39.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
40. 40.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email

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