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Please add **Matthews correlation coefficient** (MCC) as an additional statistic for the confusion table:
```
TP * TN - FP * FN
MCC = -----------------------------------------------------
…
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### Describe the bug
for a single class input, (ie perfect correlation) MCC returns 0, when it should return 1.
since MCC is a special case of pearson correlation, it should fall back to pearson w…
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* Enhancement: **3D t-SNE Plots** (preferably with rotation)
* Purpose: Identify structures that aren't readily apparent in 2D plots
* Use-case: Cluster analysis
Enhancement: **Matthews Corre…
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### Describe the bug
I have found a potential edge case issue with _sklearn.metrics.matthews_corrcoef_. The example provided in the documentation works as expected:
```python
from sklearn.metrics…
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@asegun-cod, the accuracy score can be inflated by great model performance in predicting one or just a few classes. It would be good to add metrics that account for this. For example, Balanced Accurac…
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We do not have an example dataset that shows why it can be misleading to focus on performance metrics that include true negatives (accuracy and ROC curve) when the classes are highly imbalanced. The …
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Hi! I defined my custom_metric function following your documentation:
`def custom_metric(X_val, y_val, estimator, X_train, y_train, weight_val=None, weight_train=None):
start = time.time()
…
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According to this [this article](https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-6413-7), the Cohen's k may lead to incorrect results:
> "Despite its popularity, in the learning c…
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## Image matching approaches
There are different ways to evaluate the match or overlap between 2 binary images, typically a proposed image (the segmentation we want to check) and a reference image (t…