AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 926 · 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.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
2. 2.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
3. 3.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
5. 5.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
12. 12.True or false: “flagging a new email” is a prediction. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
14. 14.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
15. 15.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
16. 16.True or false: “old emails marked spam” is a prediction. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
18. 18.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
19. 19.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) recorded spoken words (d) what training builds
20. 20.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
22. 22.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) recorded spoken words (d) what training builds
23. 23.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) flagging a new email (d) old emails marked spam
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
26. 26.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
30. 30.True or false: “labelled fruit photos” is the model. (a) True (b) False
31. 31.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) the trained program (d) naming a new fruit photo
32. 32.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
33. 33.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) flagging a new email
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
36. 36.True or false: “naming a new leaf” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
39. 39.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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