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