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Plot-different-SVM-classifiers-iris-dataset

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snehilsanyal commited on May 4, 2023

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7fb8136

1 Parent(s): 0b92fae

Update app.py

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app.py CHANGED Viewed

@@ -64,19 +64,19 @@ with gr.Blocks(title = heading, theme= 'snehilsanyal/scikit-learn') as demo:
         \
         The features to be considered are:
         \
-            <b>1. Sepal length (cm) </b>
         \
-            <b>2. Sepal width (cm) </b>
         \
         The SVM Classifiers used for this demo are:
         \
-            <b>1. SVC with linear kernel </b>
         \
-            <b>2. Linear SVC </b>
         \
-            <b>3. SVC with RBF kernel</b>
         \
-            <b>4. SVC with Polynomial (degree 3) kernel</b>
         """
     )
     gr.Markdown('**[Demo is based on this script from scikit-learn documentation](https://scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html#sphx-glr-auto-examples-svm-plot-iris-svc-py)**')

         \
         The features to be considered are:
         \
+        <b>1. Sepal length (cm) </b>
         \
+        <b>2. Sepal width (cm) </b>
         \
         The SVM Classifiers used for this demo are:
         \
+        <b>1. SVC with linear kernel </b>
         \
+        <b>2. Linear SVC </b>
         \
+        <b>3. SVC with RBF kernel</b>
         \
+        <b>4. SVC with Polynomial (degree 3) kernel</b>
         """
     )
     gr.Markdown('**[Demo is based on this script from scikit-learn documentation](https://scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html#sphx-glr-auto-examples-svm-plot-iris-svc-py)**')