Spaces:
Sleeping
Sleeping
add info about SHAP in landing page
Browse files
app.R
CHANGED
@@ -57,7 +57,7 @@ ui <- fluidPage(
|
|
57 |
<p>
|
58 |
<p>This application allows users to test the pre-trained machine learning model that predicts goat behavior based on input sensor data.
|
59 |
The input data should be a tab-separated value (.tsv) file containing specific sensor data related to the goat's activity.
|
60 |
-
|
61 |
<p>The key features expected in the dataset are:
|
62 |
<table>
|
63 |
<thead>
|
|
|
57 |
<p>
|
58 |
<p>This application allows users to test the pre-trained machine learning model that predicts goat behavior based on input sensor data.
|
59 |
The input data should be a tab-separated value (.tsv) file containing specific sensor data related to the goat's activity.
|
60 |
+
<p>The application then generates predictions, provides a confusion matrix result, and offers the option to download the predictions. In addition you can explor the decisions of the model via SHAP analysis.
|
61 |
<p>The key features expected in the dataset are:
|
62 |
<table>
|
63 |
<thead>
|