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#### Description
With tested values all equal, `sklearn.metrics.matthews_corrcoef` throws a `RuntimeWarning` reporting a division by zero. This behavior was already reported in #1937 and reported fix…
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The formula for the Matthews correlation coefficient metric involves a division. In certain cases, the denominator of this division can be 0. In this situation, one of numpy's functions called by metr…
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Dear all,
first of all: I'm very new to this community, so please forgive me when this is the wrong place for my question or it lacks necessary information (feedback is welcome).
My question…
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## 🐛 Bug
By [definition](https://en.wikipedia.org/wiki/Phi_coefficient), "if any of the four sums in the denominator is zero, the denominator can be arbitrarily set to one; this results in a Matthe…
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Mathematically, the classification quality of the model is known as Matthews Correlation Coefficient.
The metric is a true judge for the classification problems having an imbalanced set of classes.…
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**Submitting author:** @wrightaprilm (April Wright)
**Repository:** https://github.com/wrightaprilm/treesiftr
**Version:** v1.0.0
**Editor:** @juanklopper
**Reviewer:** @ethanwhite, @rachelss
**Archiv…
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Now that we have BAOABLangevinIntegrator, we should think about updating our recommended simulation settings. These settings come up in lots of places:
- They're used in examples.
- They're recom…
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Hello, everyone! I have a dataset, which is HUGELY unbalanced. Around 97% of compounds are non-active, and only 3% are active. Chemprop is overfitted to the data greatly. Do you have any advices how t…
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I've tested the ConfusionMatrix and got results similar to the one in [https://en.wikipedia.org/wiki/Matthews_correlation_coefficient](https://en.wikipedia.org/wiki/Matthews_correlation_coefficient). …
del2z updated
3 years ago
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Hello,
I was going over the code and noticed something strange in train_deepscreen.py. More specifically, I believe there is a problem in line 172
![InkedScreenshot 2021-09-10 082116_LI](https://…