Ensemble learning combines several models into one predictive model to decrease the variance and improve results. The ensemble method is divided into two groups - the sequential method and the parallel method.
Sequential method - base learners are generated sequentially
Parallel method - base learners are generated parallelly
Ensembles techniques are -
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