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@@ -92,7 +92,7 @@ e.g. `0` will correspond to you first classification label.
 
 ### Test
 
-The test command gives some primitive feedback about the correctness of your hypothesis by running a diagnostic check on the given data set and expected output. This method plots the the margin of prediction error against the increase in size of training examples. This can be useful to determine what is going wrong with your hypothesis, i.e. whether it is underfitting or overfitting the training set.
+The test command gives some primitive feedback about the correctness of your hypothesis by running a diagnostic check on the given data set and expected output. This method plots the margin of prediction error against the increase in size of training examples. This can be useful to determine what is going wrong with your hypothesis, i.e. whether it is underfitting or overfitting the training set.
 
 **parameters:**