README.md

metadata

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.

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