Update Space (evaluate main: e179b5b8)

README.md

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 title: Matthews Correlation Coefficient
-emoji: 🤗
+emoji: 🤗 
 colorFrom: blue
 colorTo: red
 sdk: gradio
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 app_file: app.py
 pinned: false
 tags:
-  - evaluate
-  - metric
-description: |-
-  Compute the Matthews correlation coefficient (MCC)
-
-  The Matthews correlation coefficient is used in machine learning as a
-  measure of the quality of binary and multiclass classifications. It takes
-  into account true and false positives and negatives and is generally
-  regarded as a balanced measure which can be used even if the classes are of
-  very different sizes. The MCC is in essence a correlation coefficient value
-  between -1 and +1. A coefficient of +1 represents a perfect prediction, 0
-  an average random prediction and -1 an inverse prediction.  The statistic
-  is also known as the phi coefficient. [source: Wikipedia]
+- evaluate
+- metric
 ---
+
 # Metric Card for Matthews Correlation Coefficient
 
 ## Metric Description