odd ratio

基本解釋

To univariate analyze for 10 kinds probable risk factors, there were the significant differences on 5 kinds risk factors (P0.05), odd ratio (OR>1).
對10種可能的危險因素進行單因素分析，有5種呈現(xiàn)顯著性差異（P0 .0 5 ），比值比（OR）均大于1。
At the same time, compare to traditional feature selection methods : odd ratio and information gain, the normal-based method yields better classification performance.
基于法向量的特征選擇算法可以在較大幅度減少計算資源消耗的同時基本維持所得到的分類器性能。
Fourthly, for linear SVM classifier, explore the performance of normal-based feature selection method by comparing it with two traditional feature selection methods: odd ratio and information gain.
第四，研究對于線性SVM分類器，選用基于法向量的特征選擇算法，和傳統(tǒng)的基于幾率比和基于信息增益的特征選擇算法，對文本分類性能的影響。