AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 370 · 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: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
3. 3.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
4. 4.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) past weather records
6. 6.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) labelled fruit photos
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
8. 8.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) the trained program (d) what training builds
9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
13. 13.True or false: “the learned patterns” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) the trained program
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
19. 19.True or false: “old emails marked spam” is a prediction. (a) False (b) True
20. 20.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
21. 21.🔮 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
22. 22.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) flagging a new email (d) naming a new leaf
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.True or false: “what training builds” is the model. (a) False (b) True
31. 31.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) recorded spoken words (d) the learned patterns
32. 32.True or false: “what training builds” is a prediction. (a) False (b) True
33. 33.True or false: “the trained program” is the model. (a) False (b) True
34. 34.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) 500 labelled leaf photos (d) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
36. 36.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

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