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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.

Logs of training including the models tried in the process can be found in logs.txt

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