逻辑回归中特征值的不同权重计算

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI:10.1145/3018009.3018017

Chang-Hwan Lee

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摘要

在传统的逻辑回归模型中，每个特征值都有相同的权重。本文提出了一种新的逻辑回归加权方法，该方法对每个特征值赋予不同的权重。采用梯度法计算特征值的最优权重。

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Calculating different weights in feature values in logistic regression

In traditional logistic regression model, every value of feature has the same weight. In this paper, we propose a new weighting method for logistic regression, which assigns a different weight to each feature value. A gradient approach is used to calculate the optimal weights of feature values.

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Proceedings of the 2nd International Conference on Communication and Information Processing

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