odd ratio

基本解释

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種呈現顯著性差異（P0 .0 5 ），比值比（OR）均大於1。
At the same time, compare to traditional feature selection methods : odd ratio and information gain, the normal-based method yields better classification performance.
基於法曏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，研究對於線性SVM分類器，選用基於法曏量的特征選擇算法，和傳統的基於幾率比和基於信息增益的特征選擇算法，對文本分類性能的影響。