AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 823 · 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: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is the model? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
5. 5.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
7. 7.True or false: “past weather records” is training data. (a) False (b) True
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) 500 labelled leaf photos (d) flagging a new email
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
18. 18.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
19. 19.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
23. 23.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
24. 24.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
26. 26.Which of these is the model? (a) past weather records (b) the learned patterns (c) old emails marked spam (d) naming a new leaf
27. 27.True or false: “labelled fruit photos” is training data. (a) False (b) True
28. 28.True or false: “past weather records” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
32. 32.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) recorded spoken words
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “past weather records” is the model. (a) True (b) False
35. 35.Which of these is training data? (a) the learned patterns (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
36. 36.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
37. 37.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
39. 39.True or false: “recorded spoken words” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns

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