← 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 924 · 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: “labelled fruit photos” is training data. (a) True (b) False
  2. 2.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
  3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  4. 4.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  5. 5.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  6. 6.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  8. 8.True or false: “the trained program” is a prediction. (a) False (b) True
  9. 9.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) typing a new spoken word
  10. 10.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) past weather records
  11. 11.True or false: “past weather records” is a prediction. (a) True (b) False
  12. 12.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) what training builds (d) naming a new leaf
  13. 13.True or false: “recorded spoken words” is training data. (a) False (b) True
  14. 14.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) past weather records (d) the learned patterns
  15. 15.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  17. 17.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  18. 18.True or false: “recorded spoken words” is the model. (a) False (b) True
  19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  21. 21.True or false: “labelled fruit photos” is the model. (a) True (b) False
  22. 22.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  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.Which of these is training data? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word
  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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  27. 27.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  30. 30.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
  31. 31.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) what training builds (d) past weather records
  32. 32.⏩ 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
  33. 33.True or false: “flagging a new email” is the model. (a) False (b) True
  34. 34.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  35. 35.True or false: “old emails marked spam” is training data. (a) True (b) False
  36. 36.True or false: “past weather records” is training data. (a) False (b) True
  37. 37.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) what training builds (d) naming a new fruit photo
  38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  39. 39.True or false: “what training builds” is training data. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program

Answer key

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

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