## 3 Results
The F1-score is the harmonic mean of precision and sensitivity; this metric is helpful in classification problems with sample size imbalances as it considers both precision and recall, providing a more balanced view of model performance regardless of class imbalance. The model presented the highest F1-score for identifying fallers (0.55) compared to non-fallers (0.51). Accuracy is the proportion of cases correctly classified by the model concerning the total number of cases, for which the model presented 0.53. In addition, the model presented a low error and better preservation of the original data concerning the neurons represented by the topographic error (0.00). The ARI and AMI values showed a weak correspondence between clusters and true labels. Figure 3 represents the distribution of neurons in each of the 14 functional variables individually, called conventional TUG (TUGconv_T1), cognitive TUG (TUGcg_T1), TUGcg effect (DualTaskEffect_T1), TSL-5X (STS_5X_T1), TAFA (TAFA_T1), ABC Scale (ABC_T1), FES-I (FES_T1) and EDG (GDS_T1), TMT-A (TMT_A_T1), TMT-B (TMT_B_T1), effect of \begin{table}
\begin{tabular}{l c c} \hline \hline
**Parameter** & **Group** & **Metric Value** \\ \hline Topographic error & - & 0.00 \\ Quantization error & - & 2.62 \\ Adjusted Rand Index & - & \(-\)0.01 \\ Adjusted mutual information & - & 0.01 \\ Sensitivity (recall) & Fallers & 0.77 \\  & Non-fallers & 0.39 \\ Precision & Fallers & 0.42 \\  & Non-fallers & 0.75 \\  & Fallers & 0.55 \\ F1-score & Non-fallers & 0.51 \\ Accuracy & - & 0.53 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Performance metrics for the SOM model. Figure 2: Confusion matrix regarding SOM algorithm clustering of faller and non-faller groups. TMT-B (TMT_Effect), Stroop PB test (StroopPB_T1), Color Stroop test (StroopColor_T1) and Color Stroop effect (StroopColorEffect_T1). The result of this model showed that only the cognitive TUG, the effect of the cognitive TUG regarding the conventional TUG, and the effect of the TMT-B regarding the TMT-A were capable of signaling the existence of two groups in the analyzed data set. The more diametrically opposed the darker-colored neurons are, the greater the discriminative potential of a given outcome. In the topographic distribution concerning the cognitive TUG (TUGog_T1), it is possible to see that the neurons representing the individuals with a pattern of the longer execution time of this dual-task test are concentrated in the lower left corner (dark yellow), while the participants who performed this test in a shorter time (better performance) are located in the upper right corner (dark blue), i.e., in opposite directions. In the topographic distribution of the effect of the cognitive TUG compared to the conventional TUG (DualTaskEffect_T1), the neurons representing the individuals with the highest cost pattern are concentrated in the lower left corner (dark blue), while those with the lowest cost are located in the upper right corner (green and yellow). Finally, the topographic distribution of neurons referring to the effect of the TMT-B regarding the TMT-A (TMT_effect) shows that individuals with less cognitive difficulty (dark yellow) are concentrated in the upper left corner, while participants with greater cognitive difficulty are located in the bottom right corner (dark blue). Figure 3: Topological maps showing the distribution of neurons for all functional outcomes.