Consider the following accuracies of two $($classification$)$ machine learning algorithms:

$$ Algorithm $1$: Training dataset accuracy $=98\%$ and test data accuracy $=89\%$

$$ Algorithm $2$: Training dataset accuracy $=93\%$ and test data accuracy $=91\%$

Calculate the bias and variance and suggest any solutions that improve the accuracy of the algorithms.