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**Is your feature request related to a problem? Please describe.**
Implements `classification_report` for classification metrics.(https://scikit-learn.org/stable/modules/generated/sklearn.metrics…
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![Screenshot (133)](https://github.com/sahooraghunath/Customer-churn-predictionn/assets/119792506/fa96efa3-c2de-4282-9f5d-13f1287b6379)
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Implement classification reports
- Time Classification
- Distance Classification
- Overall Classification
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There is a bug with the classification report.
For some reason it gives an error now. (Probably due to newer scikit-learn version)
```Python
ValueError: Classification metrics can't handle a mix …
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## Feature
In situations when users want a quick overview of both in-class and model-wide precision, recall, F1 and support, `sklearn.metrics.classification_report` [seems like a very useful functi…
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Create a function named classification_report which takes two inputs y_true and y_pred and returns accuracy, recall, precision and F1-score
* classification_report(y_true, y_pred)
* Create the abov…
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Given the following material:
```
```
Generating the OSL shader code yields this the following abbreviated code.
```
…
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* Move into own model, so we can have multiple reports
* User settings, so we can have defaults by organisation, lab etc.
Need to clarify with Anna B on what else we need - is it enough to have one p…
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Build a report that will pull FY25 Emergency Tickets.
Keep in the exist structure as STORM 24 output.
Ensure column names are consistent with GIS template.
TOP: GIS
BOTTOM: MAXIMO EXPORT
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hello,
I would like to use evidently to analyze my model results. I use YoloV8 for object detection. During detection, there are of course true positives, false positives and false negatives.
I …