← 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 103 · 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: “the trained program” is training data. (a) False (b) True
  2. 2.True or false: “the learned patterns” is training data. (a) False (b) True
  3. 3.True or false: “past weather records” is training data. (a) False (b) True
  4. 4.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  6. 6.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  11. 11.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) past weather records
  12. 12.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  13. 13.True or false: “what training builds” is training data. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  16. 16.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
  17. 17.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  19. 19.Which of these is the model? (a) flagging a new email (b) past weather records (c) what training builds (d) labelled fruit photos
  20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  22. 22.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) naming a new leaf (d) the trained program
  23. 23.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  24. 24.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  25. 25.True or false: “old emails marked spam” is the model. (a) False (b) True
  26. 26.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  27. 27.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  28. 28.⏩ 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
  29. 29.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  31. 31.⏩ 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
  32. 32.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  34. 34.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) recorded spoken words (d) labelled fruit photos
  35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  38. 38.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) typing a new spoken word (d) the trained program
  39. 39.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  40. 40.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam

Answer key

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

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