← 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 481 · 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.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) past weather records (d) flagging a new email
  2. 2.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
  3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
  4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
  5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  6. 6.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) 500 labelled leaf photos (d) naming a new leaf
  7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  8. 8.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  9. 9.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) past weather records
  11. 11.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  12. 12.True or false: “the learned patterns” is training data. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
  14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  15. 15.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  16. 16.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  21. 21.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
  25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  26. 26.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  27. 27.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) labelled fruit photos (d) past weather records
  28. 28.Which of these is training data? (a) the trained program (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
  29. 29.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
  31. 31.True or false: “naming a new leaf” is training data. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
  33. 33.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  35. 35.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  37. 37.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) naming a new fruit photo (d) labelled fruit photos
  38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  39. 39.True or false: “the trained program” is the model. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records

Answer key

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

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