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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 993 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  3. 3.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
  4. 4.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) what training builds (d) past weather records
  5. 5.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  6. 6.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  7. 7.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) labelled fruit photos (d) typing a new spoken word
  8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  9. 9.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  11. 11.True or false: “past weather records” is training data. (a) False (b) True
  12. 12.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) flagging a new email
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  14. 14.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
  15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  17. 17.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
  18. 18.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) past weather records (d) recorded spoken words
  19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  20. 20.True or false: “the trained program” is the model. (a) False (b) True
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  23. 23.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  25. 25.⏩ 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
  26. 26.True or false: “old emails marked spam” is the model. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  28. 28.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
  29. 29.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  30. 30.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) 500 labelled leaf photos
  31. 31.True or false: “recorded spoken words” is the model. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  33. 33.⏩ 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
  34. 34.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  35. 35.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  36. 36.True or false: “what training builds” is a prediction. (a) False (b) True
  37. 37.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) typing a new spoken word (d) what training builds
  38. 38.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
  39. 39.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words
  40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam

Answer key

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

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