← 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 586 · 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 happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  4. 4.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) typing a new spoken word
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  6. 6.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  7. 7.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) past weather records
  8. 8.True or false: “the learned patterns” is training data. (a) True (b) False
  9. 9.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  10. 10.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  11. 11.True or false: “past weather records” is training data. (a) True (b) False
  12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
  13. 13.True or false: “labelled fruit photos” is the model. (a) False (b) True
  14. 14.⏩ 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
  15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  16. 16.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) tomorrow’s rain guess (d) typing a new spoken word
  17. 17.True or false: “flagging a new email” is a prediction. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  19. 19.Which of these is the model? (a) flagging a new email (b) past weather records (c) labelled fruit photos (d) the learned patterns
  20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  21. 21.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  22. 22.Which of these is the model? (a) flagging a new email (b) the trained program (c) naming a new leaf (d) tomorrow’s rain guess
  23. 23.True or false: “the trained program” is the model. (a) True (b) False
  24. 24.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) the learned patterns
  25. 25.⏩ 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
  26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  28. 28.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
  29. 29.True or false: “typing a new spoken word” is the model. (a) True (b) False
  30. 30.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) typing a new spoken word
  31. 31.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  32. 32.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) what training builds (d) naming a new fruit photo
  33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  34. 34.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  36. 36.True or false: “recorded spoken words” is the model. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  38. 38.True or false: “labelled fruit photos” is training data. (a) False (b) True
  39. 39.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam

Answer key

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

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