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