New SMOTE LIKE data oversampling.
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Generate artificial data for training machine learning algorithms for unbalanced data problems. ...learn more
Overview / Usage
Generate artificial data for training machine learning algorithms for unbalanced data problems. Unbalanced data consist in real problems and to training machine learning algorithms with unbalanced data is a challenge. So, techniques like SMOTE are necessary to improve quality results in classification. Here, we development new method to do this.