AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 255 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
5. 5.True or false: “what training builds” is training data. (a) False (b) True
6. 6.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
7. 7.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
8. 8.True or false: “past weather records” is training data. (a) True (b) False
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) the learned patterns
10. 10.True or false: “flagging a new email” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
13. 13.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
14. 14.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
15. 15.True or false: “labelled fruit photos” is the model. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
18. 18.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) the trained program (d) old emails marked spam
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
21. 21.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) naming a new leaf (d) what training builds
22. 22.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
23. 23.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
24. 24.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
27. 27.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
29. 29.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
31. 31.⏩ 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
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “flagging a new email” is the model. (a) False (b) True
34. 34.True or false: “past weather records” is the model. (a) True (b) False
35. 35.True or false: “recorded spoken words” is the model. (a) True (b) False
36. 36.True or false: “flagging a new email” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction

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