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