← 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 321 · 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 delete its data (c) to see if it works (d) to change its name
  2. 2.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the learned patterns
  3. 3.Which of these is training data? (a) the trained program (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word
  4. 4.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
  5. 5.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  7. 7.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  8. 8.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) flagging a new email (d) tomorrow’s rain guess
  9. 9.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  10. 10.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  12. 12.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) typing a new spoken word (d) the learned patterns
  13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  15. 15.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) old emails marked spam (d) the trained program
  16. 16.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  19. 19.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  20. 20.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  22. 22.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  23. 23.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  24. 24.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) flagging a new email (d) labelled fruit photos
  25. 25.⏩ 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
  26. 26.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  28. 28.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) naming a new fruit photo (d) the trained program
  29. 29.Which of these is the model? (a) what training builds (b) past weather records (c) recorded spoken words (d) typing a new spoken word
  30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  31. 31.True or false: “typing a new spoken word” is training data. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  36. 36.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  39. 39.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  40. 40.Which of these is the model? (a) the trained program (b) naming a new leaf (c) past weather records (d) 500 labelled leaf photos

Answer key

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

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