Kamrun Nahar Koly, Jobaida Saba, Mala Rao, Sabrina Rasheed, Daniel D Reidpath, Stephanie Armstrong, Shamini Gnani
Stakeholder perspectives of mental healthcare services in Bangladesh, its challenges and opportunities: a qualitative study
Global mental health (Cambridge, England)
classical statistical analysis data complemented replaced data analysis based machine learning however certain disciplines education research studies frequently limited small datasets raises several questions regarding biases coincidentally positive results study present refined approach evaluating performance binary classification based machine learning small datasets approach includes nonparametric permutation test method quantify probability results generalising new data furthermore found repeated nested crossvalidation almost free biases yields reliable results slightly dependent chance considering advantages several evaluation metrics suggest combination one metric train evaluate machine learning classifiers specific case classes equally important matthews correlation coefficient exhibits lowest bias chance coincidentally good results results indicate essential avoid several biases analysing small datasets using machine learning