← Training data, model and prediction lesson New set →

AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 790 · 40 questions
TalentJR

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.

NameDateTime takenScore ___ / 40
  1. 1.⏩ 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
  2. 2.True or false: “what training builds” is the model. (a) True (b) False
  3. 3.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) past weather records (d) what training builds
  4. 4.True or false: “typing a new spoken word” is training data. (a) True (b) False
  5. 5.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  6. 6.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  7. 7.True or false: “naming a new leaf” is the model. (a) True (b) False
  8. 8.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  11. 11.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  12. 12.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  14. 14.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) what training builds
  15. 15.⏩ 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
  16. 16.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  17. 17.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) what training builds (d) 500 labelled leaf photos
  18. 18.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  19. 19.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  21. 21.True or false: “past weather records” is training data. (a) True (b) False
  22. 22.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  24. 24.⏩ 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
  25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  27. 27.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
  28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  30. 30.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) typing a new spoken word (d) what training builds
  31. 31.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  33. 33.True or false: “the trained program” is the model. (a) True (b) False
  34. 34.⏩ 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
  35. 35.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  38. 38.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  39. 39.True or false: “naming a new leaf” is training data. (a) True (b) False
  40. 40.True or false: “the trained program” is training data. (a) True (b) False

Answer key

  1. what training builds
  2. True
  3. typing a new spoken word
  4. False
  5. recorded spoken words
  6. it learns patterns
  7. False
  8. True
  9. the model
  10. a prediction
  11. old emails marked spam
  12. past weather records
  13. the model
  14. labelled fruit photos
  15. the learned patterns
  16. the trained program
  17. 500 labelled leaf photos
  18. True
  19. True
  20. training data
  21. True
  22. past weather records
  23. the model
  24. the trained program
  25. a prediction
  26. past weather records
  27. the trained program
  28. a prediction
  29. training data
  30. what training builds
  31. False
  32. what training builds
  33. True
  34. what training builds
  35. labelled fruit photos
  36. recorded spoken words
  37. a prediction
  38. data, model, prediction
  39. False
  40. False

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