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(duì)10種可能的危險(xiǎn)因素進(jìn)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(jì)算資源消耗的同時(shí)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(duì)於線性SVM分類器，選用基於法曏量的特征選擇算法，和傳統(tǒng)的基於幾率比和基於信息增益的特征選擇算法，對(duì)文本分類性能的影響。