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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

FEBRUARY 15, 2023

Some important things that were considered during these selections were: Random Forest : The ultimate feature importance in a Random forest is the average of all decision tree feature importance. A random forest is an ensemble classifier that makes predictions using a variety of decision trees. and Schutze H.,

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DrivenData Labs

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Some participants combined a transformer neural network with a tree-based model or support vector machine (SVM). Solvers used 2016 demographics, economic circumstances, migration, physical limitations, self-reported health, and lifestyle behaviors to predict a composite cognitive function score in 2021.

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Text Classification in NLP using Cross Validation and BERT

Meet the winners of Phase 2 of the PREPARE Challenge

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