--- license: apache-2.0 library_name: sklearn tags: - tabular-regression - baseline-trainer --- ## Baseline Model trained on outhimar_64 to apply regression on Close **Metrics of the best model:** r2 0.999858 neg_mean_squared_error -1.067685 Name: Ridge(alpha=10), dtype: float64 **See model plot below:** 
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=           continuous  dirty_float  low_card_int  ...   date  free_string  useless
Date            False        False         False  ...   True        False    False
Open             True        False         False  ...  False        False    False
High             True        False         False  ...  False        False    False
Low              True        False         False  ...  False        False    False
Adj Close        True        False         False  ...  False        False    False
Volume           True        False         False  ...  False        False    False[6 rows x 7 columns])),('ridge', Ridge(alpha=10))])
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**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