AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 84 · 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 leaf or what training builds? (a) naming a new leaf (b) what training builds
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
5. 5.True or false: “naming a new leaf” is training data. (a) True (b) False
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
7. 7.True or false: “the trained program” is training data. (a) False (b) True
8. 8.⏩ 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
9. 9.⏩ 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
10. 10.True or false: “labelled fruit photos” is training data. (a) False (b) True
11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
12. 12.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
13. 13.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
14. 14.True or false: “the trained program” is a prediction. (a) False (b) True
15. 15.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) 500 labelled leaf photos
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
18. 18.True or false: “what training builds” is training data. (a) False (b) True
19. 19.⏩ 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
20. 20.Which of these is training data? (a) the learned patterns (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
21. 21.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
22. 22.True or false: “the learned patterns” is the model. (a) False (b) True
23. 23.Which of these is training data? (a) the trained program (b) old emails marked spam (c) what training builds (d) typing a new spoken word
24. 24.True or false: “the trained program” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
26. 26.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) naming a new fruit photo (d) what training builds
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
36. 36.True or false: “what training builds” is the model. (a) False (b) True
37. 37.True or false: “what training builds” is a prediction. (a) False (b) True
38. 38.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) naming a new leaf (d) the trained program
39. 39.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns

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