AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 248 · 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.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
2. 2.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
5. 5.True or false: “the learned patterns” is a prediction. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
7. 7.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
8. 8.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) flagging a new email (d) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
10. 10.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
11. 11.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
12. 12.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
13. 13.True or false: “the learned patterns” is the model. (a) False (b) True
14. 14.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
16. 16.Which of these is the model? (a) recorded spoken words (b) past weather records (c) typing a new spoken word (d) the learned patterns
17. 17.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
19. 19.True or false: “old emails marked spam” is a prediction. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
21. 21.True or false: “the learned patterns” is training data. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
23. 23.True or false: “naming a new fruit photo” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
26. 26.True or false: “labelled fruit photos” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
28. 28.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
29. 29.True or false: “what training builds” is a prediction. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
31. 31.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) past weather records (d) what training builds
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
33. 33.True or false: “labelled fruit photos” is training data. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
38. 38.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) naming a new leaf (d) the trained program
39. 39.True or false: “flagging a new email” is the model. (a) False (b) True
40. 40.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) the learned patterns

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