fixed two more figs in classification2

Author: ttimbers

classification2.Rmd

@@ -880,7 +880,7 @@ a balance between the two. You can see these two effects in Figure
 \@ref(fig:06-decision-grid-K), which shows how the classifier changes as 
 we set the number of neighbors $K$ to 1, 7, 20, and 300.
 
-```{r 06-decision-grid-K, echo = FALSE, message = FALSE, fig.height = 10, fig.width = 10, fig.cap = "Effect of K in overfitting and underfitting."}
+```{r 06-decision-grid-K, echo = FALSE, message = FALSE, fig.height = 10, fig.width = 10, fig.pos = "H", out.extra="", fig.cap = "Effect of K in overfitting and underfitting."}
 ks <- c(1, 7, 20, 300)
 plots <- list()
 
@@ -948,7 +948,7 @@ can tune the classifier (e.g., select the number of neighbors $K$ in $K$-NN)
 by maximizing estimated accuracy via cross-validation. The overall 
 process is summarized in Figure \@ref(fig:06-overview).
 
-```{r 06-overview, echo = FALSE, message = FALSE, warning = FALSE, fig.cap = "Overview of KNN classification.", fig.retina = 2, out.width = "100%"}
+```{r 06-overview, echo = FALSE, message = FALSE, warning = FALSE, fig.pos = "H", out.extra="", fig.cap = "Overview of KNN classification.", fig.retina = 2, out.width = "100%"}
 knitr::include_graphics("img/train-test-overview.jpeg")
 ```