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