AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 985 · 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.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
2. 2.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) flagging a new email
3. 3.True or false: “typing a new spoken word” is the model. (a) True (b) False
4. 4.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
5. 5.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
6. 6.True or false: “the learned patterns” is the model. (a) True (b) False
7. 7.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) flagging a new email (d) old emails marked spam
8. 8.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
12. 12.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) tomorrow’s rain guess (d) naming a new leaf
13. 13.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
15. 15.True or false: “recorded spoken words” is a prediction. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
17. 17.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
18. 18.Which of these is training data? (a) flagging a new email (b) the trained program (c) naming a new fruit photo (d) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
21. 21.True or false: “labelled fruit photos” is training data. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
24. 24.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
25. 25.True or false: “old emails marked spam” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
27. 27.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) naming a new fruit photo (d) the trained program
28. 28.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
31. 31.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
33. 33.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
34. 34.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
39. 39.True or false: “naming a new leaf” is training data. (a) True (b) False
40. 40.True or false: “naming a new leaf” is the model. (a) True (b) False

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