AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 839 · 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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
4. 4.True or false: “past weather records” is a prediction. (a) True (b) False
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
7. 7.⏩ 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
8. 8.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
9. 9.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
10. 10.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
11. 11.Which of these is training data? (a) what training builds (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
15. 15.⏩ 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
16. 16.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) typing a new spoken word (d) the learned patterns
17. 17.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
19. 19.⏩ 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
20. 20.True or false: “recorded spoken words” is training data. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
23. 23.Which of these is training data? (a) flagging a new email (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
26. 26.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) what training builds (d) tomorrow’s rain guess
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) typing a new spoken word (d) the learned patterns
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
30. 30.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
31. 31.True or false: “naming a new leaf” is a prediction. (a) True (b) False
32. 32.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) past weather records
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
39. 39.True or false: “the trained program” is the model. (a) False (b) True
40. 40.True or false: “old emails marked spam” is the model. (a) True (b) False

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