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