Updated README.md

README.md

@@ -26,14 +26,18 @@ To predict batches of sequences you have to employ custom functions shown in [gi
 
 #### Limitations and bias
 
-- It seems that fine-tuned Albert model for this kind of task has limition of 90 % accuracy predicting which aptamer is more suitable for a target protein, also Albert-large or immense dataset of 15s aptamer could increase accuracy few %, however extrapolation case is not studied and we cannot confirm this model is state-of-The-art when one of aptamers is SUPER good (has almost maximum entropy to the Albumin).
+It seems that fine-tuned Albert model for this kind of task has limition of 90 % accuracy predicting which aptamer is more suitable for a target protein, also Albert-large or immense dataset of 15s aptamer could increase accuracy few %, however extrapolation case is not studied and we cannot confirm this model is state-of-The-art when one of aptamers is SUPER good (has almost maximum entropy to the Albumin).
 
 ## Eval results
 
 accuracy :  0.8601
+
 precision:  0.8515
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 recall   :  0.8725
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 f1       :  0.8618
+
 roc_auc  :  0.9388
 
 The score was calculated using sklearn.metrics.