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

Answer key

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

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