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Update app.py
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app.py
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@@ -63,13 +63,15 @@ with gr.Blocks(title = heading, theme= 'snehilsanyal/scikit-learn') as demo:
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### This demo visualizes different SVM Classifiers on a 2D projection of the Iris dataset.
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The features to be considered are:\
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<b>1. Sepal length (cm) </b>\
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<b>2. Sepal width (cm) </b>\
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The SVM Classifiers used for this demo are:\
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<b>1. SVC with linear kernel </b>\
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<b>2. Linear SVC </b>\
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### This demo visualizes different SVM Classifiers on a 2D projection of the Iris dataset.
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The features to be considered are:\
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\
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<b>1. Sepal length (cm) </b>\
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<b>2. Sepal width (cm) </b>\
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The SVM Classifiers used for this demo are:\
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<b>1. SVC with linear kernel </b>\
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<b>2. Linear SVC </b>\
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