AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 353 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
2. 2.True or false: “the trained program” is training data. (a) True (b) False
3. 3.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) recorded spoken words (d) flagging a new email
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
5. 5.True or false: “naming a new leaf” is a prediction. (a) False (b) True
6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
8. 8.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
9. 9.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) the learned patterns (d) labelled fruit photos
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
12. 12.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) recorded spoken words
13. 13.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new leaf (d) what training builds
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
16. 16.Which of these is the model? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) past weather records
17. 17.True or false: “flagging a new email” is training data. (a) True (b) False
18. 18.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
19. 19.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
20. 20.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
22. 22.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
24. 24.True or false: “what training builds” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “flagging a new email” is a prediction. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
29. 29.True or false: “recorded spoken words” is training data. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
32. 32.True or false: “what training builds” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
34. 34.⏩ 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
35. 35.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
37. 37.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
38. 38.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
39. 39.True or false: “typing a new spoken word” is training data. (a) False (b) True
40. 40.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) past weather records (d) the trained program

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