model_card update'

model_card.md

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 - Model type: python "RandomForestClassifier" (default parameters)
 
 ## Intended Use
-- Classifies people who make more or less than 50k per year into different buckets
+- This model is used to predict the income level of individuals based off attiributes such as demographic and employment-related featues. These values are then used to predict an individuals salary being above or below 50k. 
 
 ## Training Data
-- US cencus data provided by Udacity
+- US cencus data provided by Udacity, its source is located here: https: (// archive.ics.uci.edu/ml/datasets/census+income).
+- This data contains information pertaining to individuals, it was from 1994 Census Bureau data from the UCI Machine Learning Repository.
 
 ## Evaluation Data
-- US cencus data provided by Udacity
+- The data was split to test and train the model at 20% and 80%. 
 
 ## Metrics
+- A random Forest Classifier model was  used with the default parameters. 
+- This model achieved the metric scores below:
 - Metric Performance: Precision: 0.7369 | Recall: 0.6294 | F1: 0.6789
 
 ## Ethical Considerations
 - This model contains features and variables that should not be used for evaluation. 
+- This model would not be considered a fair representation because it uses demgraphics that include sage, sex and race, and therefore should nmot be used in a descision making process when evaluating individuals. 
 
 ## Caveats and Recommendations
 - Default parameters were used, for a more accurate result other models and parameters could be used. 
+- The Census database used is from 1994, the data provided is most likely out of date and inacurate. 
+- Individuals that are under represented in these demographics may not be acuratly portrayed. 
+