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