clsfcn2 graphic design

UBC-DSCI · Nov 21, 2023 · f12b2d1 · f12b2d1
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diff --git a/source/classification2.md b/source/classification2.md
@@ -89,7 +89,7 @@ when predicting whether a patient's tumor is malignant or benign!
 
 +++
 
-```{figure} img/classification2/training_test.jpeg
+```{figure} img/classification2/training_test.png
 :name: fig:06-training-test
 
 Splitting the data into training and testing sets.
@@ -1664,7 +1664,7 @@ estimate its accuracy.  The overall process is summarized in
 
 +++
 
-```{figure} img/classification2/train-test-overview.jpeg
+```{figure} img/classification2/train-test-overview.png
 :name: fig:06-overview
 
 Overview of K-NN classification.

diff --git a/source/img/classification2/ML-paradigm-test.ai b/source/img/classification2/ML-paradigm-test.ai
diff --git a/source/img/classification2/ML-paradigm-test.png b/source/img/classification2/ML-paradigm-test.png
diff --git a/source/img/classification2/cv.ai b/source/img/classification2/cv.ai
diff --git a/source/img/classification2/cv.png b/source/img/classification2/cv.png
diff --git a/source/img/classification2/train-test-overview.ai b/source/img/classification2/train-test-overview.ai
diff --git a/source/img/classification2/train-test-overview.jpeg b/source/img/classification2/train-test-overview.jpeg
diff --git a/source/img/classification2/train-test-overview.png b/source/img/classification2/train-test-overview.png
diff --git a/source/img/classification2/training_test.ai b/source/img/classification2/training_test.ai
diff --git a/source/img/classification2/training_test.jpeg b/source/img/classification2/training_test.jpeg
diff --git a/source/img/classification2/training_test.png b/source/img/classification2/training_test.png