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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 229 · 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 training data? (a) flagging a new email (b) what training builds (c) the trained program (d) past weather records
  2. 2.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  3. 3.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  5. 5.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) labelled fruit photos (d) what training builds
  6. 6.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) past weather records
  7. 7.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) labelled fruit photos (d) 500 labelled leaf photos
  8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  9. 9.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  11. 11.⏩ 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
  12. 12.True or false: “old emails marked spam” is training data. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  15. 15.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
  16. 16.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  19. 19.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  20. 20.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  21. 21.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  22. 22.True or false: “what training builds” is a prediction. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  24. 24.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) the trained program
  25. 25.⏩ 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
  26. 26.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) what training builds (d) the trained program
  27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
  28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  29. 29.⏩ 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
  30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  31. 31.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) the trained program
  32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) old emails marked spam
  34. 34.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  35. 35.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  36. 36.True or false: “past weather records” is a prediction. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  38. 38.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  40. 40.True or false: “recorded spoken words” is the model. (a) False (b) True

Answer key

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

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