Heterogeneous educational data classiffication

In the proposed solution, Random Forests are suggested as an e®ective ensemble model suitable for our heterogeneous data when many single prediction models which are random trees can be built for many various subspaces with di®erent random features in a supervised learning process.

19p redemption 20-12-2021 32 1   Download