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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 981 · 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 make it slower (d) to see if it works
  2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  3. 3.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  4. 4.True or false: “naming a new leaf” is the model. (a) False (b) True
  5. 5.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  6. 6.True or false: “typing a new spoken word” is training data. (a) True (b) False
  7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  8. 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
  9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  11. 11.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  12. 12.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) naming a new leaf (d) tomorrow’s rain guess
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  14. 14.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) past weather records (d) tomorrow’s rain guess
  15. 15.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
  16. 16.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the trained program (d) past weather records
  17. 17.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  18. 18.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  19. 19.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  20. 20.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  21. 21.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) old emails marked spam (d) recorded spoken words
  22. 22.Which of these is the model? (a) past weather records (b) the trained program (c) recorded spoken words (d) typing a new spoken word
  23. 23.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  24. 24.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  25. 25.True or false: “the learned patterns” is the model. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  28. 28.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) what training builds
  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: “recorded spoken words” is training data. (a) False (b) True
  31. 31.True or false: “past weather records” is training data. (a) True (b) False
  32. 32.True or false: “the trained program” is the model. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
  34. 34.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  35. 35.True or false: “old emails marked spam” is training data. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  37. 37.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  38. 38.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  39. 39.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model

Answer key

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

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