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))])
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.
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))])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(alpha=10)
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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