← Training data, model and prediction lesson New set →

AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 270 · 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.True or false: “naming a new leaf” is training data. (a) False (b) True
  2. 2.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
  3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  5. 5.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) tomorrow’s rain guess (d) naming a new leaf
  6. 6.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  7. 7.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  8. 8.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) 500 labelled leaf photos (d) the trained program
  9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) recorded spoken words
  10. 10.True or false: “what training builds” is training data. (a) True (b) False
  11. 11.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) tomorrow’s rain guess (d) past weather records
  12. 12.True or false: “naming a new leaf” is the model. (a) False (b) True
  13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  14. 14.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  15. 15.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  18. 18.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
  19. 19.Which of these is the model? (a) naming a new leaf (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
  20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  21. 21.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  22. 22.🔮 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
  23. 23.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  25. 25.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  27. 27.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  29. 29.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  30. 30.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  32. 32.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) recorded spoken words (d) past weather records
  33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  34. 34.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  36. 36.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) the trained program (d) old emails marked spam
  37. 37.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  38. 38.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) recorded spoken words (d) the trained program
  39. 39.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns

Answer key

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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students