[Translation] scikit-learn 0.18 Tutorial Choosing the Right Model

Google translated http://scikit-learn.org/0.18/tutorial/machine_learning_map/index.html Tutorial Table of Contents / Previous Tutorial


Choosing the right estimator

Often, the hardest part of solving a machine learning problem is finding the right estimator for the job. Different estimators are suitable for different types of data and problems. The flow chart below is intended to provide the user with a rough guide on which estimator to try the data with. Click the quote in the figure below to see the document. You can't click

scikit-learn algorithm cheat sheet

start

--Are there more than 50 samples? --NO → Let's collect more data

Classification

--Is the sample less than 100,000?

Clustering

――Do you know how many categories there are?

Regression

--Is the sample less than 100,000? --no → Regression of stochastic gradient descent

Dimensionality reduction


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