Fixed Model Card description

README.md

@@ -38,18 +38,22 @@ widget:
 # Model description
 
 This is a Histogram-based Gradient Boosting Classification Tree model trained on HPC history jobs between 1Feb-1Aug 2022, window number 0.
+
 Window Start: 2022-02-01 00:06:58; Window End: 2022-03-03 04:05:20; Total Jobs in Window 0: 35812.
+
 Best parameters:  {'hgbc__learning_rate': 0.1, 'hgbc__max_depth': 9, 'hgbc__max_iter': 600}
+
 Performance on TEST
+
 Accuracy on entire set:  0.946168166304685 
 
-Accuracy for last bin scheduling assuming bins <= 0 are incorrect: 0.9454545454545454; (936/990) 
+Accuracy for last bin scheduling assuming bins <= 0 are incorrect: 0.9454; (936/990) 
 
-Accuracy for last bin scheduling assuming bins <= 1 are incorrect: 0.9242424242424242; (915/990)
+Accuracy for last bin scheduling assuming bins <= 1 are incorrect: 0.9242; (915/990)
 
-Accuracy for last bin scheduling assuming bins <= 2 are incorrect: 0.9121212121212121; (903/990)
+Accuracy for last bin scheduling assuming bins <= 2 are incorrect: 0.9121; (903/990)
 
-Accuracy for last bin scheduling assuming bins <= 3 are incorrect: 0.8878787878787879; (879/990)
+Accuracy for last bin scheduling assuming bins <= 3 are incorrect: 0.8878; (879/990)
 
 ## Intended uses & limitations
 
@@ -146,6 +150,7 @@ with open(dtc_pkl_filename, 'rb') as file:
 # model_card_authors
 
 Smruti Padhy
+Joe Stubbs
 
 # limitations