AI Worksheet: Training Data, Model, Prediction

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

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