Scientific Writing for Computer Science Students - FTP Directory ...

112 CHAPTER 6. L A TEXINSTRUCTIONS AND EXERCISESTable 6.3: Comparison of prediction accuracy of LR and NB models. Theprediction accuracy is expressed true positive T P and true negative T Nrates. All models have been evaluated by 10-fold cross-validation and theclassification rates have been averaged.Model structure LR rates NB ratesTP TN TP TNA ⇒ F R1 0.83 0.47 0.96 0.31A, B ⇒ F R1 0.91 0.72 0.80 0.81A, B, C ⇒ F R1 0.93 0.81 0.83 0.81T P 1 ⇒ F R2 0.70 0.68 0.96 0.53T P 1, D ⇒ F R2 0.78 0.84 0.76 0.61T P 1, D, E ⇒ F R2 0.76 0.89 0.82 0.87T P 1, D, E, F ⇒ F R2 0.70 0.92 0.80 0.87See the following example:\begin{table}[!h]\begin{center}\caption{Comparison of prediction accuracy of {\em LR} and {\em NB} models.The prediction accuracy is expressedtrue positive $TP$ and true negative $TN$ rates.All models have been evaluated by 10-fold cross-validation and theclassification rates have been averaged.}\label{crossval}\begin{tabular}{|l|c|c|c|c|}\hlineModel structure&\multicolumn{2}{|l|}{$LR$ rates} &\multicolumn{2}{|l|}{$NB$ rates}\\& TP& TN& TP&TN\\\hline$A \Rightarrow FR1$ &0.83&0.47&0.96&0.31\\\hline$A,B \Rightarrow FR1$ &0.91&0.72&0.80&0.81\\\hline$A,B,C \Rightarrow FR1$ &0.93&0.81&0.83&0.81\\\hline$TP1 \Rightarrow FR2 $&0.70&0.68&0.96&0.53\\1 These not recommended in computer science texts; use them sparsely!