← 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 303 · 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.🧪 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
  2. 2.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  3. 3.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  4. 4.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  8. 8.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) recorded spoken words
  9. 9.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
  10. 10.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  11. 11.True or false: “what training builds” is a prediction. (a) True (b) False
  12. 12.Which of these is training data? (a) the trained program (b) naming a new leaf (c) tomorrow’s rain guess (d) old emails marked spam
  13. 13.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) the trained program (d) the learned patterns
  14. 14.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  15. 15.True or false: “recorded spoken words” is training data. (a) False (b) True
  16. 16.True or false: “what training builds” is the model. (a) True (b) False
  17. 17.True or false: “recorded spoken words” is the model. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  19. 19.Which of these is training data? (a) what training builds (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email
  20. 20.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) the trained program (d) 500 labelled leaf photos
  21. 21.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) the trained program (d) flagging a new email
  22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
  24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  25. 25.True or false: “old emails marked spam” is training data. (a) False (b) True
  26. 26.True or false: “past weather records” is a prediction. (a) False (b) True
  27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  29. 29.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) the trained program
  30. 30.True or false: “the learned patterns” is training data. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  33. 33.⏩ 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
  34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  36. 36.True or false: “naming a new leaf” is the model. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  38. 38.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  39. 39.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  40. 40.True or false: “the trained program” is a prediction. (a) True (b) False

Answer key

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

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