← 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 508 · 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.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
  2. 2.True or false: “typing a new spoken word” is the model. (a) False (b) True
  3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  6. 6.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) flagging a new email (d) tomorrow’s rain guess
  7. 7.🧪 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
  8. 8.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) old emails marked spam (d) the learned patterns
  10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  11. 11.True or false: “what training builds” is a prediction. (a) True (b) False
  12. 12.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) naming a new leaf (d) the learned patterns
  13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  14. 14.True or false: “old emails marked spam” is training data. (a) True (b) False
  15. 15.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) the trained program (d) past weather records
  16. 16.🔮 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
  17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  19. 19.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
  20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  22. 22.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  24. 24.Which of these is training data? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
  25. 25.True or false: “old emails marked spam” is the model. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  27. 27.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) recorded spoken words
  28. 28.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  32. 32.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) the trained program (d) naming a new leaf
  33. 33.Which of these is training data? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) recorded spoken words
  34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  37. 37.True or false: “flagging a new email” is a prediction. (a) True (b) False
  38. 38.True or false: “labelled fruit photos” is training data. (a) True (b) False
  39. 39.True or false: “what training builds” is training data. (a) True (b) False
  40. 40.Which of these is the model? (a) past weather records (b) what training builds (c) old emails marked spam (d) 500 labelled leaf photos

Answer key

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

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