Predicting Potential Risk: Cerebral Stroke via Regret Minimization

Figure 4

Performance of different algorithms in terms of F1 score, precision, and recall. The x-axis represents the number of selected features, while the y-axis represents the metrics. From top to bottom, the first row represents the performance results of four algorithms under different metrics when the parameter settings are  = 0.001 and  = 0.9; the second row represents the performance results when the parameter settings are  = 0.01 and  = 0.9; the third row represents the performance results when the parameter settings are  = 0.001 and  = 0.99; and the fourth row represents the performance results when the parameter settings are  = 0.01 and  = 0.99.

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