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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 350 · 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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  4. 4.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  5. 5.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
  6. 6.True or false: “the learned patterns” is a prediction. (a) False (b) True
  7. 7.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  8. 8.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
  9. 9.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) old emails marked spam
  10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  13. 13.True or false: “naming a new leaf” is training data. (a) False (b) True
  14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  15. 15.True or false: “old emails marked spam” is training data. (a) False (b) True
  16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  17. 17.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  19. 19.True or false: “labelled fruit photos” is training data. (a) False (b) True
  20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  21. 21.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  22. 22.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) the learned patterns (d) past weather records
  23. 23.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) naming a new leaf (d) past weather records
  24. 24.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  25. 25.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  26. 26.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) what training builds
  27. 27.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  28. 28.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) flagging a new email (d) recorded spoken words
  29. 29.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) naming a new fruit photo (d) old emails marked spam
  30. 30.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (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.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  34. 34.True or false: “flagging a new email” is the model. (a) True (b) False
  35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  36. 36.True or false: “the trained program” is a prediction. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  39. 39.Which of these is the model? (a) recorded spoken words (b) what training builds (c) flagging a new email (d) naming a new fruit photo
  40. 40.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos

Answer key

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

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