Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python

© David Paper 2020

D. PaperHands-on Scikit-Learn for Machine Learning Applicationshttps://doi.org/10.1007/978-1-4842-5373-1_6

6. Scikit-Learn Classifier Tuning from Complex Training Sets

David Paper¹ 

(1)

Logan, UT, USA

 

Now that we have practiced tuning low-dimensional (or simple) data, we are ready to experiment tuning high-dimensional (or complex) data sets. Low-dimensional data consists of a limited number of features, whereas high-dimensional data consists of a very high number of features.

The term most commonly used to describe the dimensionality of a data set in machine learning literature is feature space. Feature space refers to the collection of features used to characterize the data set. That is, feature space refers to the n-dimensions ...