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