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