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Description
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Subtask of #710
Desired solution
Create method Baseline._model(table:TabularDataSet, metric:Metric, positiveClass: List)->Model
Tasks:
- split data - 70% train data and 30% test data
- control if there are more than one values in positiveClass. If yes, calculate the mean of every positive class, else just for one positive Class (?)
- if there's more than 2 unique values in target column calculate the mean of every positive class, else require the positive class input and calculate its metric (?)
- for-loop for every regressor or classifier
- choosing the best (just gradient boosting, random forest and linear regressor with simple standard-values)
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