Abstract
Classification from complex data is handled exactly as with simple data. Data is loaded into feature set X and target y. X data is composed of a matrix of vectors where each vector represents a data element and y data is composed of a vector of targets. However, complex data is composed of a high number of features (hundreds to thousands). Such a data set is commonly referred to as one with a high-dimensional feature space. Text data is also complex because each document must be converted into vectors of numerical values suitable for machine learning algorithms.
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© 2020 David Paper
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Paper, D. (2020). Classification from Complex Training Sets. In: Hands-on Scikit-Learn for Machine Learning Applications. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5373-1_3
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DOI: https://doi.org/10.1007/978-1-4842-5373-1_3
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5372-4
Online ISBN: 978-1-4842-5373-1
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