← 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 682 · 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 learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  2. 2.True or false: “recorded spoken words” is training data. (a) True (b) False
  3. 3.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  4. 4.Which of these is training data? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) the trained program
  5. 5.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
  6. 6.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  7. 7.True or false: “labelled fruit photos” is the model. (a) True (b) False
  8. 8.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  11. 11.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  12. 12.🔮 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
  13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  14. 14.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) past weather records
  15. 15.True or false: “the learned patterns” is the model. (a) False (b) True
  16. 16.True or false: “past weather records” is training data. (a) True (b) False
  17. 17.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
  18. 18.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) naming a new fruit photo (d) typing a new spoken word
  19. 19.True or false: “naming a new leaf” is the model. (a) True (b) False
  20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  21. 21.True or false: “what training builds” is a prediction. (a) False (b) True
  22. 22.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
  23. 23.True or false: “what training builds” is the model. (a) True (b) False
  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.Which of these is training data? (a) the trained program (b) past weather records (c) flagging a new email (d) typing a new spoken word
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  27. 27.True or false: “the learned patterns” is a prediction. (a) False (b) True
  28. 28.Which of these is training data? (a) flagging a new email (b) the trained program (c) naming a new fruit photo (d) 500 labelled leaf photos
  29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  30. 30.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  31. 31.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  32. 32.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  33. 33.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) naming a new leaf (d) what training builds
  34. 34.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) past weather records
  35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  37. 37.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
  38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  39. 39.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) naming a new leaf (d) the learned patterns
  40. 40.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns

Answer key

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

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