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app.R
CHANGED
@@ -57,7 +57,7 @@ ui <- fluidPage(
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<p>
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<p>This application allows users to test the pre-trained machine learning model that predicts goat behavior based on input sensor data.
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The input data should be a tab-separated value (.tsv) file containing specific sensor data related to the goat's activity.
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<p>The application then generates predictions, provides a confusion matrix result, and offers the option to download the predictions. In addition you can
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<p>The key features expected in the dataset are:
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<table>
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<thead>
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@@ -146,7 +146,7 @@ ui <- fluidPage(
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</tbody>
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</table>
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<p><p> <h5> Experiments, source code and more <a href=https://github.com/harpomaxx/goat-behavior/> here<a/> </h5>")
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),
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tabPanel("Results",
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<p>
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<p>This application allows users to test the pre-trained machine learning model that predicts goat behavior based on input sensor data.
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The input data should be a tab-separated value (.tsv) file containing specific sensor data related to the goat's activity.
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<p>The application then generates predictions, provides a confusion matrix result, and offers the option to download the predictions. In addition you can explore the decisions of the model via SHAP analysis.
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<p>The key features expected in the dataset are:
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<table>
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<thead>
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</tbody>
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</table>
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<p><p> <h5> Experiments, datasets and source code and more <a href=https://github.com/harpomaxx/goat-behavior/> here<a/> </h5>")
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),
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tabPanel("Results",
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