AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 640 · 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: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
2. 2.True or false: “labelled fruit photos” is training data. (a) False (b) True
3. 3.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
4. 4.True or false: “past weather records” is a prediction. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
6. 6.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
10. 10.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
13. 13.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
14. 14.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
16. 16.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
19. 19.Which of these is the model? (a) past weather records (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
20. 20.Which of these is training data? (a) the learned patterns (b) past weather records (c) the trained program (d) naming a new leaf
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
23. 23.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
26. 26.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) typing a new spoken word
27. 27.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
28. 28.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
33. 33.Which of these is training data? (a) naming a new leaf (b) what training builds (c) recorded spoken words (d) the trained program
34. 34.True or false: “recorded spoken words” is the model. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
36. 36.True or false: “old emails marked spam” is training data. (a) False (b) True
37. 37.True or false: “naming a new leaf” is a prediction. (a) True (b) False
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
39. 39.True or false: “old emails marked spam” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email

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