Before revision:  The EM algorithm we propose, padded with the new formulas (and error criteria), is very competitive and outperforms other known algorithms in several metrics  .
After revision:  The EM algorithm we propose, padded with the new formulas (and error criteria), is very competitive and outperforms other known algorithms in several metrics , in particular, with much less overestimation of probabilities of default in higher ratings than other statistical algorithms .