Table 1.
Comparison of FF-RSS + MSE with recent approaches.
Table 2.
Notations used in this work.
Fig 1.
Proposed architecture for High-dimensional data classification.
Table 3.
Description of 5 benchmark datasets.
Table 4.
Performance comparison of various models.
Table 5.
Ablation analysis on ISSBEC, model with conventional DFC, and model with conventional RFE.
Fig 2.
Sensitivity Analysis.
Fig 3.
ROC Analysis for ISSBEC and Conventional Methods while using datasets a) Alizadeh2000-v1.
Fig 4.
ROC Analysis for ISSBEC and Conventional Methods while using datasets b) Armstrong2002-v1.
Fig 5.
ROC Analysis for ISSBEC and Conventional Methods while using datasets c) Chowdary2006.
Fig 6.
ROC Analysis for ISSBEC and Conventional Methods while using datasets d) Golub1999-v1.
Fig 7.
ROC Analysis for ISSBEC and Conventional Methods while using datasets e) Gordon2002.
Table 6.
Friedman test analysis.
Table 7.
Wilcoxon test analysis.
Table 8.
Performance comparison in terms of accuracy while using multi-class label datasets.
Table 9.
Time complexity comparison of non-Spark and Spark-based ISSBEC framework.