Figure 4
The horizontal axis represents “Feature Importance” ranging from 0 to 0.12 in increments of 0.02. The vertical axis lists features from top to bottom: “MHOLD”, “INSTITUTION”, “SIZE”, “DT”, “HHI”, “DFIIC”, “AC2”, “TAT”, “LEV”, “RD”, “GROWTH”, “AGE”, “MEDIA”, “AC1”, “ANA”, “EU”, “ROA”, “CEO_AGE”, “ZSCORE”, “TOBINQ”, “IC”, “SOE”, “HPI”, “INDBOARD”, “DUAL”, “GOV”, “EPU”, “GI”, “COMP_BACK”, “GOV_BACK”, “FAM”, “ACADEMIC_BACK”, “ENV_BACK”, “GENDER”, and “FINANCE_BACK”. The data for the bars are as follows: “M HOLD”: 0.122. “INSTITUTION”: 0.121. “SIZE”: 0.115. “DT”: 0.095. “HHI”: 0.083. “DFIIC”: 0.074. “AC2”: 0.066. “TAT”: 0.066. “LEV”: 0.065. “RD”: 0.064. “GROWTH”: 0.063. “AGE”: 0.060. “MEDIA”: 0.060. “AC1”: 0.054. “ANA”: 0.048. “EU”: 0.046. “ROA”: 0.046. “CEO_AGE”: 0.043. “ZSCORE”: 0.041. “TOBINQ”: 0.041. “IC”: 0.037. “SOE”: 0.031. “HPI”: 0.026. “INDBOARD”: 0.023. “DUAL”: 0.022. “GOV”: 0.022. “EPU”: 0.020. “GI”: 0.019. “COMP_BACK”: 0.012. “GOV_BACK”: 0.011. “FAM”: 0.007. “ACADEMIC_BACK”: 0.004. “ENV_BACK”: 0.003. “GENDER”: 0.003. “FINANCE _BACK”: 0.002. Note: All numerical data values are approximated.Feature importance of variables