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