The dataset used to train a model should have observations, features, and responses.
The model is trained to predict the “right” response for a given set of data points.
Supervised learning models are used to predict an outcome.
The goal of this model is to “generalize” a dataset so that the “general rule” can be applied to new data as well.
Tags
#DataScience #machineLearning
Question
What is Supervised Learning
Answer
?
Tags
#DataScience #machineLearning
Question
What is Supervised Learning
Answer
The dataset used to train a model should have observations, features, and responses.
The model is trained to predict the “right” response for a given set of data points.
Supervised learning models are used to predict an outcome.
The goal of this model is to “generalize” a dataset so that the “general rule” can be applied to new data as well.
Summary
status
not learned
measured difficulty
37% [default]
last interval [days]
repetition number in this series
0
memorised on
scheduled repetition
scheduled repetition interval
last repetition or drill
Details
No repetitions
Discussion
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