AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 911 · 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 old emails marked spam? (a) the trained program (b) old emails marked spam
2. 2.⏩ 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
3. 3.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
6. 6.True or false: “the learned patterns” is the model. (a) False (b) True
7. 7.True or false: “recorded spoken words” is the model. (a) True (b) False
8. 8.True or false: “naming a new leaf” is the model. (a) False (b) True
9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) naming a new fruit photo (d) typing a new spoken word
10. 10.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
11. 11.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
13. 13.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) typing a new spoken word (d) what training builds
14. 14.True or false: “what training builds” is a prediction. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
16. 16.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
17. 17.⏩ 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
18. 18.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
19. 19.True or false: “past weather records” is training data. (a) True (b) False
20. 20.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “typing a new spoken word” is training data. (a) True (b) False
26. 26.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) labelled fruit photos (d) naming a new fruit photo
27. 27.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
28. 28.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
29. 29.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
30. 30.True or false: “what training builds” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
36. 36.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
37. 37.True or false: “the trained program” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
40. 40.Which of these is a prediction? (a) naming a new fruit photo (b) labelled fruit photos (c) the learned patterns (d) the trained program

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