AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 267 · 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: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
2. 2.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
4. 4.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) 500 labelled leaf photos (d) naming a new leaf
5. 5.🔮 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
6. 6.⏩ 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
7. 7.True or false: “what training builds” is the model. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
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: “the learned patterns” is training data. (a) True (b) False
11. 11.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) naming a new leaf (d) flagging a new email
12. 12.⏩ 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
13. 13.True or false: “the trained program” is a prediction. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
15. 15.True or false: “past weather records” is training data. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
17. 17.True or false: “old emails marked spam” is a prediction. (a) True (b) False
18. 18.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) what training builds
19. 19.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
20. 20.True or false: “the trained program” is the model. (a) False (b) True
21. 21.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) tomorrow’s rain guess (d) what training builds
22. 22.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
25. 25.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) old emails marked spam
26. 26.True or false: “labelled fruit photos” is training data. (a) False (b) True
27. 27.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) flagging a new email (d) the trained program
28. 28.True or false: “labelled fruit photos” is the model. (a) False (b) True
29. 29.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
30. 30.⏩ 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
31. 31.⏩ 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
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
34. 34.True or false: “recorded spoken words” is a prediction. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
39. 39.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
40. 40.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) what training builds (d) naming a new fruit photo

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