Evaluating the performance of ensemble classifiers in stock returns prediction using effective features

Research article (Expert Systems with Applications, 2022) · cited 46× · AI/ML
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Evaluating the performance of ensemble classifiers in stock returns prediction using effective features

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Evaluating the performance of ensemble classifiers in stock returns prediction using effective features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating the performance of ensemble classifiers in stock returns prediction using effective features. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-performance-of-ensemble-classifiers-in-stock-returns-prediction-using-effective-features
MLA “Evaluating the performance of ensemble classifiers in stock returns prediction using effective features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-performance-of-ensemble-classifiers-in-stock-returns-prediction-using-effective-features.
BibTeX @misc{4ortxyz_evaluating-the-performance-of-ensemble-classifiers-in-stock-returns-prediction-using-effective-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the performance of ensemble classifiers in stock returns prediction using effective features}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-performance-of-ensemble-classifiers-in-stock-returns-prediction-using-effective-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the performance of ensemble classifiers in stock returns prediction using effective features — https://4ort.xyz/entity/evaluating-the-performance-of-ensemble-classifiers-in-stock-returns-prediction-using-effective-features (retrieved 2026-05-24)

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