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com豆丁网 贝叶斯(Naïve Bayes, NB)、K 近邻(K nearest neighbor,K-NN)和线性最小二乘法拟合(Linear Least Squares Fit, LLSF)等五种代表性分类器的性能进行了对比,在准确率、召回率、F1、错误率(分别在宏平均、微平 均下测试)等..
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linear least squares to fit 线性最小二乘拟合
There two extracting strategies in this thesis: (1) Transform the device characteristics equation to linear form and use "least squares fit" method to extract relevant parameters.
本文主要采用了两种参数提取方法:(1)将器件特性方程线性化,用最小二乘法提取相应参数。
Linear regression analysis (the least squares method) is one technique for estimation a line of best fit.
线形回归分析(最小二乘法)是一向估算最优拟和线的技术。
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