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