Update README.md

README.md

@@ -9,7 +9,7 @@ The Roboflow page is using a subset of the [Stanford Dogs Dataset](http://vision
 Annotations included manually sorting each of the 60 breeds into a category based on weight (as detailed above). Additionally, some classes were deleted due to the large weight ranges of the breed. For example, [Xoloitzcuintles](https://en.wikipedia.org/wiki/Xoloitzcuintle) are usually broken into three sub-breeds with different sizes, but they are labeled in the dataset under one category.
 
 ### *Class Breakdown*
-| Metric | Small  | Medium   | Large |
+| Metric | Large  | Medium   | Small |
 |--------|--------|----------|------ |
 | Percent |  39%  |   37%    |   24% |
 | Count  | 4,058  | 3,860    | 2,524 |
@@ -59,8 +59,10 @@ This model had high metrics across each of the classes, meeting the success thre
 After testing with images outside of the training set, a pattern imerged where the model would perform well but consistently made mistakes on the same breeds(seen in the image above). This is because these breeds were not in the orginal training data.
 
 ### *Poor performing classes*
-### *Data biases*
-### *Environmental/contextual limitations*
+There was a less than 5% difference between class performance. The class imbalance, with small breeds having over 1k less images than other classes, may have contributed to the realtivly high (10%) confusion rate between large and small breeds.
+
+### *Data biases & Environmental/contextual limitations*
+The images found in the dataset, varried accross different conditions as well as enviroment situations. 
 ### *Inappropriate use cases*
-### *Ethical considerations*
+This model has high accruacy and precision accross the breeds found in the dataset but perfroms poorly on those not found in the set. Addtioanally this model produces a realtivly high rate of false postives. 
 ### *Sample size limitations*