AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 343 · 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: “past weather records”? (a) the model (b) training data (c) a prediction
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
3. 3.Which of these is training data? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) the learned patterns
4. 4.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
7. 7.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
8. 8.Which of these is training data? (a) what training builds (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
9. 9.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
12. 12.True or false: “flagging a new email” is training data. (a) False (b) True
13. 13.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
14. 14.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) labelled fruit photos
15. 15.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) old emails marked spam (d) what training builds
16. 16.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
17. 17.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
18. 18.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) naming a new leaf (d) past weather records
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
20. 20.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) the trained program (d) old emails marked spam
21. 21.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
22. 22.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
24. 24.Which of these is training data? (a) the learned patterns (b) the trained program (c) past weather records (d) naming a new leaf
25. 25.True or false: “recorded spoken words” is training data. (a) True (b) False
26. 26.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) the trained program
27. 27.True or false: “the trained program” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
33. 33.⏩ 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
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “labelled fruit photos” is training data. (a) True (b) False
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
39. 39.True or false: “recorded spoken words” is the model. (a) False (b) True
40. 40.Which of these is a prediction? (a) what training builds (b) the trained program (c) typing a new spoken word (d) old emails marked spam

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