## 3 Results and Analysis
This could be due to the size of GSE57872 and GSE71585-GPL17021, which may contribute to their divergent runtimes, but this assumption is proven false when considering the size of the other two datasets, GSE71585-GPL17021 and GSE81903. Hence, further investigation is required to understand the reasons behind these outliers. It is intuitive to suspect that the size of the fitted data may influence the performance of glm. In our datasets, although the number of columns is consistent, 1000, the number of rows varies significantly. To visually investigate the influence of the size of the data in each evaluation category, we plot the relation between size and collected median scores. Figure 6 shows that there are no correlations between the size of the fitted data and glm's Precision, Recall, _F1-Score_, and AUC, except for a minimal effect on Runtime. Figure 6: _Cont._

In further research, we plan to investigate the performance of glm in various categories using different \"families\" (link functions) for different types of regression, including Gaussian, gamma, Poisson, and quasi functions. This investigation will involve utilizing different datasets that require regression models with more than two labels or classes. By expanding our analysis to these different regression types, we will gain a more comprehensive understanding of glm's performance across diverse scenarios. Conceptualization, O.A. and R.A.; methodology, O.A. ; software, O.A. ; validation, R.A.; formal analysis, O.A. ; writing--original draft preparation, O.A. ; writing--review and editing, R.A.; funding acquisition, R.A. All authors have read and agreed to the published version of the manuscript. The authors extend their appreciation to the Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia, for funding this research work through Grant No. (221409004). Not applicable. Evaluation codes are available at [[https://github.com/[PERSON]/glm](https://github.com/[PERSON]/glm)]([https://github.com/[PERSON]/glm](https://github.com/[PERSON]/glm)) (accessed on 11 May 2023). The Conquer repository can be found at [[http://imlspenticton.uzh.ch](http://imlspenticton.uzh.ch)]([http://imlspenticton.uzh.ch](http://imlspenticton.uzh.ch)): 3838/conquer/ (accessed on 11 May 2023). The authors declare no conflict of interest. The following abbreviations are used in this manuscript: \begin{tabular}{l l} AUC & Area under the Curve \\ scRNA-seq & Single-cell Ribonucleic Acid Sequencing \\ ROC & Receiver Operating Characteristic \\ \end{tabular} 

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