AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 513 · 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: “flagging a new email”? (a) the model (b) training data (c) a prediction
2. 2.True or false: “labelled fruit photos” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) the trained program (d) 500 labelled leaf photos
6. 6.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
10. 10.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
12. 12.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
13. 13.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
14. 14.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) what training builds
15. 15.True or false: “the trained program” is the model. (a) True (b) False
16. 16.🧪 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
17. 17.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) typing a new spoken word
18. 18.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
19. 19.Which of these is training data? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) what training builds
20. 20.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
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.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
27. 27.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.⏩ 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
31. 31.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
32. 32.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new leaf (d) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
37. 37.True or false: “recorded spoken words” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
39. 39.Which of these is training data? (a) what training builds (b) naming a new leaf (c) past weather records (d) flagging a new email
40. 40.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) the trained program (d) flagging a new email

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