AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 785 · 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 old emails marked spam? (a) naming a new leaf (b) old emails marked spam
2. 2.True or false: “the trained program” is the model. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) naming a new leaf
6. 6.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
9. 9.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
10. 10.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
17. 17.True or false: “the learned patterns” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
22. 22.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) 500 labelled leaf photos (d) what training builds
23. 23.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
24. 24.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) the trained program
25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) recorded spoken words (d) naming a new leaf
30. 30.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
31. 31.⏩ 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
32. 32.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
34. 34.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the trained program (d) old emails marked spam
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “recorded spoken words” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns

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