minor ed caption cls1 bug hunt py issue

Author: trevorcampbell

source/classification1.Rmd

@@ -945,7 +945,7 @@ Standardizing your data should be a part of the preprocessing you do
 before predictive modeling and you should always think carefully about your problem domain and
 whether you need to standardize your data.
 
-```{r 05-scaling-plt, echo = FALSE, fig.height = 4, fig.align = "center", fig.cap = "Comparison of K = 3 nearest neighbors with standardized and unstandardized data."}
+```{r 05-scaling-plt, echo = FALSE, fig.height = 4, fig.align = "center", fig.cap = "Comparison of K = 3 nearest neighbors with unstandardized and standardized data."}
 
 attrs <- c("Area", "Smoothness")