AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 453 · 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: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “old emails marked spam” is training data. (a) True (b) False
5. 5.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) the learned patterns (d) labelled fruit photos
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
8. 8.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) naming a new fruit photo
9. 9.Which of these is a prediction? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
10. 10.True or false: “typing a new spoken word” is the model. (a) False (b) True
11. 11.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) the trained program (d) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
13. 13.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
14. 14.True or false: “labelled fruit photos” is training data. (a) True (b) False
15. 15.⏩ 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
16. 16.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
19. 19.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
20. 20.True or false: “recorded spoken words” is training data. (a) True (b) False
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
22. 22.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
23. 23.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “past weather records” is the model. (a) True (b) False
26. 26.⏩ 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
27. 27.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “recorded spoken words” is the model. (a) False (b) True
30. 30.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
31. 31.True or false: “flagging a new email” is a prediction. (a) False (b) True
32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) the trained program
33. 33.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) naming a new leaf (d) past weather records
34. 34.True or false: “naming a new leaf” is training data. (a) True (b) False
35. 35.True or false: “what training builds” is a prediction. (a) True (b) False
36. 36.True or false: “old emails marked spam” is a prediction. (a) True (b) False
37. 37.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) naming a new fruit photo (d) old emails marked spam
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model

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