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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 206 · 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 make it slower (b) to change its name (c) to see if it works (d) to delete its data
  2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  4. 4.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) labelled fruit photos (d) naming a new leaf
  5. 5.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  6. 6.True or false: “flagging a new email” is a prediction. (a) True (b) False
  7. 7.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
  9. 9.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
  10. 10.True or false: “what training builds” is the model. (a) True (b) False
  11. 11.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  12. 12.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  13. 13.⏩ 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
  14. 14.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  15. 15.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) the learned patterns (d) labelled fruit photos
  16. 16.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  19. 19.True or false: “the learned patterns” is the model. (a) True (b) False
  20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  21. 21.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
  22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  25. 25.⏩ 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
  26. 26.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  27. 27.True or false: “the trained program” is the model. (a) False (b) True
  28. 28.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  31. 31.⏩ 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
  32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  33. 33.Which of these is the model? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) recorded spoken words
  34. 34.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) old emails marked spam (d) naming a new leaf
  35. 35.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) labelled fruit photos
  36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  39. 39.Which of these is a prediction? (a) past weather records (b) what training builds (c) tomorrow’s rain guess (d) the learned patterns
  40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess

Answer key

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

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