\begin{table*}[tp]
\centering
\caption{compare with other approachs}
\label{tab:methodcompare}
\begin{tabular}{|c|c|c|c|c|c|c|}
\hline
\multirow{2}*{Model} & \multicolumn{3}{c|}{trigger identification} & \multicolumn{3}{c|}{Event Extraction} \\
\cline{2-7}
& P(\%) & R(\%) & F1(\%) & P(\%) & R(\%) & F1(\%) \\
\hline
Baseline1 & 76.84 & 76.84 & 76.84 & 76.84 & 76.84 & 76.84 \\
\cdashline{1-7}[0.8pt/2pt]
Baseline2 & 76.84 & 76.84 & 76.84 & 76.84 & 76.84 & 76.84 \\
\cdashline{1-7}[0.8pt/2pt]
Baseline3 & 76.84 & 76.84 & 76.84 & 76.84 & 76.84 & 76.84 \\
\cdashline{1-7}[0.8pt/2pt]
{\bf Our approach} & {\bf 76.84} & {\bf 76.84} & {\bf 76.84} & {\bf 76.84} & {\bf 76.84} & {\bf 76.84} \\
\hline
\usepackage{booktabs}
\usepackage{threeparttable}
\renewcommand{\arraystretch}{1.5} %控制行高
\begin{table}[tp]
\centering
\fontsize{6.5}{8}\selectfont %设置成较为合适的的比例,防止超过边界
\begin{threeparttable}
\caption{Demographic Prediction performance comparison by three evaluation metrics.}
\label{tab:performance_comparison}
\begin{tabular}{ccccccc}
\toprule
\multirow{2}{*}{Method}&
\multicolumn{3}{c}{ G}&\multicolumn{3}{c}{ G}\cr
\cmidrule(lr){2-4} \cmidrule(lr){5-7}
&Precision&Recall&F1-Measure&Precision&Recall&F1-Measure\cr
\midrule
kNN&0.7324&0.7388&0.7301&0.6371&0.6462&0.6568\cr
F&0.7321&0.7385&0.7323&0.6363&0.6462&0.6559\cr
E&0.7321&0.7222&0.7311&0.6243&0.6227&0.6570\cr
D&0.7654&0.7716&0.7699&0.6695&0.6684&0.6642\cr
C&0.7435&0.7317&0.7343&0.6386&0.6488&0.6435\cr
B&0.7667&0.7644&0.7646&0.6609&0.6687&0.6574\cr
A&{\bf 0.8189}&{\bf 0.8139}&{\bf 0.8146}&{\bf 0.6971}&{\bf 0.6904}&{\bf 0.6935}\cr
\bottomrule
\end{tabular}
\end{threeparttable}
\end{table}