← 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 488 · 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.Which of these is the model? (a) old emails marked spam (b) the trained program (c) recorded spoken words (d) naming a new leaf
  2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  3. 3.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  4. 4.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
  5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
  7. 7.True or false: “the trained program” is a prediction. (a) False (b) True
  8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  10. 10.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) the trained program (d) naming a new leaf
  11. 11.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  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: “labelled fruit photos” is a prediction. (a) False (b) True
  16. 16.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) the learned patterns (d) past weather records
  17. 17.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  18. 18.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  20. 20.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) tomorrow’s rain guess (d) old emails marked spam
  21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  22. 22.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
  23. 23.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) recorded spoken words
  24. 24.⏩ 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
  25. 25.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) what training builds
  26. 26.True or false: “the trained program” is the model. (a) True (b) False
  27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  33. 33.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
  34. 34.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) labelled fruit photos (d) what training builds
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  37. 37.⏩ 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
  38. 38.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  39. 39.True or false: “the learned patterns” is the model. (a) False (b) True
  40. 40.True or false: “flagging a new email” is a prediction. (a) True (b) False

Answer key

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

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