Given the data below, decision tree will be constructed to predict the label of yes or no$.$ Could you construct the decision tree to determine the label of the data based on the calculation of information gain and entropy?

$\backslash$table$[[$Data$,$F$1,$F$2,$F$3,$F$4,$F$5,$Label$],[1,$F$1$V$2,$F$2$V$1,$F$3$V$1,$F$4$V$1,$F$5$V$2,$YES$],[2,$F$1$V$2,$F$2$V$2,$F$3$V$1,$F$4$V$1,$F$5$V$2,$NO$],[3,$F$1$V$2,$F$2$V$2,$F$3$V$1,$F$4$V$1,$F$5$V$2,$NO$],[4,$F$1$V$2,$F$2$V$1,$F$3$V$1,$F$4$V$3,$F$5$V$2,$NO$],[5,$F$1$V$1,$F$2$V$1,$F$3$V$1,$F$4$V$3,$F$5$V$2,$YES$],[6,$F$1$V$1,$F$2$V$2,$F$3$V$1,$F$4$V$2,$F$5$V$2,$YES$],[7,$F$1$V$1,$F$2$V$2,$F$3$V$1,$F$4$V$2,$F$5$V$2,$YES$],[8,$F$1$V$1,$F$2$V$1,$F$3$V$1,$F$4$V$1,$F$5$V$2,$YES$],[9,$F$1$V$1,$F$2$V$2,$F$3$V$1,$F$4$V$1,$F$5$V$2,$NO$],[10,$F$1$V$1,$F$2$V$2,$F$3$V$1,$F$4$V$1,$F$5$V$2,$NO$],[11,$F$1$V$2,$F$2$V$2,$F$3$V$2,$F$4$V$3,$F$5$V$1,$NO$],[12,$F$1$V$2,$F$2$V$2,$F$3$V$2,$F$4$V$3,$F$5$V$1,$NO$],[13,$F$1$V$1,$F$2$V$2,$F$3$V$2,$F$4$V$2,$F$5$V$1,$YES$],[14,$F$1$V$1,$F$2$V$2,$F$3$V$2,$F$4$V$3,$F$5$V$1,$YES$],[15,$F$1$V$2,$F$2$V$1,$F$3$V$2,$F$4$V$3,$F$5$V$1,$NO$],[16,$F$1$V$2,$F$2$V$1,$F$3$V$2,$F$4$V$3,$F$5$V$1,$NO$],[17,$F$1$V$1,$F$2$V$1,$F$3$V$2,$F$4$V$2,$F$5$V$1,$YES$],[18,$F$1$V$1,$F$2$V$1,$F$3$V$2,$F$4$V$2,$F$5$V$1,$YES$],[19,$F$1$V$1,$F$2$V$1,$F$3$V$2,$F$4$V$1,$F$5$V$1,$YES$],[20,$F$1$V$1,$F$2$V$2,$F$3$V$2,$F$4$V$1,$F$5$V$1,$NO$]]$