AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 447 · 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.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) past weather records (d) flagging a new email
2. 2.Which of these is training data? (a) the learned patterns (b) what training builds (c) recorded spoken words (d) naming a new leaf
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
4. 4.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) naming a new leaf (d) the learned patterns
5. 5.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
6. 6.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
7. 7.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
8. 8.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) naming a new leaf (d) 500 labelled leaf photos
9. 9.⏩ 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
10. 10.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) flagging a new email (d) labelled fruit photos
11. 11.True or false: “recorded spoken words” is training data. (a) False (b) True
12. 12.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
13. 13.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
15. 15.True or false: “naming a new fruit photo” is training data. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
17. 17.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
20. 20.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) labelled fruit photos
21. 21.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
23. 23.🧪 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
24. 24.True or false: “naming a new fruit photo” is the model. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
26. 26.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
28. 28.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
30. 30.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
33. 33.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
34. 34.True or false: “naming a new leaf” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
36. 36.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
40. 40.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) flagging a new email (d) what training builds

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