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