AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 777 · 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: past weather records or what training builds? (a) past weather records (b) what training builds
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
4. 4.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
5. 5.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
6. 6.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
7. 7.True or false: “typing a new spoken word” is training data. (a) False (b) True
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
9. 9.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) typing a new spoken word (d) naming a new fruit photo
10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
11. 11.True or false: “the learned patterns” is a prediction. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
14. 14.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
15. 15.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
18. 18.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) the trained program
19. 19.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) flagging a new email
20. 20.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
21. 21.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) tomorrow’s rain guess (d) recorded spoken words
22. 22.True or false: “naming a new leaf” is training data. (a) True (b) False
23. 23.True or false: “old emails marked spam” is training data. (a) True (b) False
24. 24.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) what training builds
25. 25.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
26. 26.True or false: “past weather records” is a prediction. (a) True (b) False
27. 27.True or false: “the trained program” is a prediction. (a) False (b) True
28. 28.Which of these is the model? (a) old emails marked spam (b) past weather records (c) tomorrow’s rain guess (d) the learned patterns
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
32. 32.True or false: “old emails marked spam” is the model. (a) True (b) False
33. 33.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) typing a new spoken word
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.True or false: “labelled fruit photos” is training data. (a) False (b) True
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
40. 40.True or false: “past weather records” is training data. (a) False (b) True

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students