Financial Innovation

Table 12 Coefficient values corresponding to the base estimators determined through performing a stacking ensemble from the meta-regression

From: DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

DT	RF	KNN	BAY	Ada	GB	XGB
0.2777	\(-\) 0.0028	\(-\) 0.2047	\(-\) 0.0663	0.0533	0.2537	\(-\) 0.1057

Here DT, RF, KNN, BAY, AdaBoost (Ada), GB, and XGB are used as base learners

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