Handling Imbalanced Datasets
You can add class_weights with dictionary containing class weights, e.g.:
class_weight = {0: 1., 1: 20.} 

While SMOTE can be used to synthesize new examples for the minority class (the process is called oversampling) in order to get equal weights.
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