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