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