AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 834 · 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.🧪 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
2. 2.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “recorded spoken words” is training data. (a) False (b) True
6. 6.True or false: “past weather records” is training data. (a) False (b) True
7. 7.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
8. 8.True or false: “naming a new leaf” is a prediction. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
10. 10.Which of these is training data? (a) naming a new leaf (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo
11. 11.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
13. 13.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) old emails marked spam (d) tomorrow’s rain guess
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “recorded spoken words” is a prediction. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
17. 17.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) recorded spoken words
19. 19.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
20. 20.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
23. 23.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
24. 24.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
26. 26.True or false: “labelled fruit photos” is training data. (a) False (b) True
27. 27.True or false: “typing a new spoken word” is the model. (a) False (b) True
28. 28.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) typing a new spoken word (d) the trained program
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
30. 30.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) recorded spoken words (d) typing a new spoken word
31. 31.True or false: “past weather records” is the model. (a) True (b) False
32. 32.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
38. 38.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) naming a new leaf (d) the trained program
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
40. 40.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam

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