AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 347 · 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.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
2. 2.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
3. 3.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
4. 4.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) naming a new leaf
5. 5.True or false: “the trained program” is training data. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
9. 9.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) what training builds
10. 10.Which of these is the model? (a) recorded spoken words (b) the trained program (c) tomorrow’s rain guess (d) old emails marked spam
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
17. 17.True or false: “the trained program” is the model. (a) False (b) True
18. 18.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
19. 19.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
23. 23.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf
24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
25. 25.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) past weather records
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
27. 27.True or false: “labelled fruit photos” is the model. (a) True (b) False
28. 28.True or false: “naming a new fruit photo” is training data. (a) False (b) True
29. 29.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
30. 30.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
33. 33.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
34. 34.True or false: “old emails marked spam” is a prediction. (a) False (b) True
35. 35.True or false: “past weather records” is a prediction. (a) True (b) False
36. 36.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
37. 37.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
38. 38.Which of these is training data? (a) what training builds (b) flagging a new email (c) typing a new spoken word (d) old emails marked spam
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
40. 40.True or false: “typing a new spoken word” is the model. (a) True (b) False

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