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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis

Fig. 3

Comparison of the best performances obtained by each algorithm and scenario. The “p” represents the p value obtained after applying the Bonferroni correction method to compare the performance in both scenarios for each algorithm. Algorithms presenting a significantly better performance in the Ensemble Imbalance scenario were highlighted using the ⋆ symbol. Neural Networks performed significantly better (p-value ≤ 0.001) than the others in the Ensemble-Imbalance scenario (highlighted in bold and blue font)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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