← 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 75 · 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.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  3. 3.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) naming a new leaf (d) the trained program
  4. 4.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  6. 6.🧪 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
  7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  8. 8.Which of these is training data? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
  9. 9.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) typing a new spoken word
  10. 10.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
  11. 11.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) flagging a new email
  12. 12.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
  13. 13.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  15. 15.True or false: “naming a new leaf” is the model. (a) True (b) False
  16. 16.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  18. 18.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
  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: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  21. 21.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  23. 23.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
  24. 24.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  25. 25.True or false: “labelled fruit photos” is training data. (a) True (b) False
  26. 26.🔮 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
  27. 27.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the learned patterns (d) past weather records
  28. 28.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  29. 29.True or false: “the trained program” is a prediction. (a) False (b) True
  30. 30.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) 500 labelled leaf photos (d) recorded spoken words
  31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  32. 32.True or false: “the learned patterns” is a prediction. (a) False (b) True
  33. 33.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
  34. 34.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) old emails marked spam (d) what training builds
  35. 35.True or false: “the learned patterns” is training data. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
  37. 37.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  38. 38.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) typing a new spoken word (d) what training builds
  39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  40. 40.True or false: “naming a new leaf” is training data. (a) True (b) False

Answer key

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

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