← 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 566 · 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 training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  3. 3.Which of these is the model? (a) old emails marked spam (b) what training builds (c) past weather records (d) flagging a new email
  4. 4.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  6. 6.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) flagging a new email (d) the learned patterns
  7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  8. 8.True or false: “old emails marked spam” is the model. (a) False (b) True
  9. 9.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  10. 10.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  11. 11.True or false: “flagging a new email” is training data. (a) True (b) False
  12. 12.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  13. 13.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  14. 14.True or false: “flagging a new email” is a prediction. (a) False (b) True
  15. 15.⏩ 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
  16. 16.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  18. 18.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  19. 19.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) what training builds (d) naming a new fruit photo
  20. 20.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  23. 23.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  24. 24.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) tomorrow’s rain guess (d) typing a new spoken word
  25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  28. 28.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
  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.True or false: “what training builds” is a prediction. (a) False (b) True
  31. 31.Which of these is training data? (a) the trained program (b) the learned patterns (c) what training builds (d) recorded spoken words
  32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  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.🧪 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
  36. 36.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) labelled fruit photos
  37. 37.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  39. 39.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  40. 40.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) past weather records (d) recorded spoken words

Answer key

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

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