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