AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 683 · 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: “old emails marked spam”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “typing a new spoken word” is training data. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
4. 4.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) flagging a new email
5. 5.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
7. 7.True or false: “recorded spoken words” is a prediction. (a) False (b) True
8. 8.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program
9. 9.Which of these is the model? (a) past weather records (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the learned patterns
10. 10.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
11. 11.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
12. 12.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
14. 14.🧪 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
15. 15.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
17. 17.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
19. 19.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
20. 20.True or false: “flagging a new email” is training data. (a) False (b) True
21. 21.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
22. 22.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
23. 23.True or false: “naming a new leaf” is a prediction. (a) True (b) False
24. 24.⏩ 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
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
26. 26.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
29. 29.True or false: “recorded spoken words” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “typing a new spoken word” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) what training builds (d) tomorrow’s rain guess
37. 37.🔮 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
38. 38.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
39. 39.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True

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