--- license: apache-2.0 library_name: sklearn tags: - tabular-classification - baseline-trainer --- ## Baseline Model trained on irisg444_4c0 to apply classification on Species **Metrics of the best model:** accuracy 0.953333 recall_macro 0.953333 precision_macro 0.956229 f1_macro 0.953216 Name: LogisticRegression(class_weight='balanced', max_iter=1000), dtype: float64 **See model plot below:** 
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=               continuous  dirty_float  ...  free_string  useless
SepalLengthCm        True        False  ...        False    False
SepalWidthCm         True        False  ...        False    False
PetalLengthCm        True        False  ...        False    False
PetalWidthCm         True        False  ...        False    False[4 rows x 7 columns])),('logisticregression',LogisticRegression(C=1, class_weight='balanced',max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
**Disclaimer:** This model is trained with dabl library as a baseline, for better results, use [AutoTrain](https://huggingface.co/autotrain). **Logs of training** including the models tried in the process can be found in logs.txt