← 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 769 · 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: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  4. 4.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  6. 6.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  7. 7.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  8. 8.True or false: “old emails marked spam” is the model. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  10. 10.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
  11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  12. 12.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) 500 labelled leaf photos
  13. 13.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  14. 14.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) the trained program (d) past weather records
  15. 15.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) what training builds (d) recorded spoken words
  16. 16.⏩ 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
  17. 17.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
  18. 18.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  21. 21.Which of these is training data? (a) past weather records (b) flagging a new email (c) naming a new leaf (d) what training builds
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  23. 23.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  24. 24.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
  29. 29.True or false: “the trained program” is the model. (a) False (b) True
  30. 30.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
  31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  32. 32.True or false: “labelled fruit photos” is training data. (a) False (b) True
  33. 33.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) naming a new leaf (d) labelled fruit photos
  34. 34.⏩ 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
  35. 35.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) past weather records
  37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) the trained program (d) 500 labelled leaf photos
  38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  39. 39.Which of these is a prediction? (a) naming a new fruit photo (b) labelled fruit photos (c) past weather records (d) 500 labelled leaf photos
  40. 40.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new leaf

Answer key

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

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