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nicl-nno committed Sep 20, 2024
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Expand Up @@ -56,13 +56,16 @@ The visualization of FEDOT (v.0.7.3) results against H2O (3.46.0.4), AutoGluon (
obtained using built-in visualizations of critial difference plot from AutoMLBenchmark are provided below:

All datasets (ROC AUC and negative log loss):
.. image:: img_benchmarks/cd-all-1h8c-constantpredictor.png

.. image:: ./img_benchmarks/cd-all-1h8c-constantpredictor.png

Binary classification (ROC AUC):
.. image:: img_benchmarks/cd-binary-classification-1h8c-constantpredictor.png

.. image:: ./img_benchmarks/cd-binary-classification-1h8c-constantpredictor.png

Multiclass classification (negative logloss):
.. image:: img_benchmarks/cd-multiclass-classification-1h8c-constantpredictor.png

.. image:: ./img_benchmarks/cd-multiclass-classification-1h8c-constantpredictor.png

We can claim that results are statistically better that TPOT and and indistinguishable from H2O and AutoGluon.

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