How to read feature importance for censored data?

Question

                  event.1   event.2
AMOUNT              0.2455    0.0108
INSTALL_RATE        0.0535    0.0239
FOREIGN             0.0413    0.0640
PROPERTY            0.0390    0.0016
HISTORY             0.0278    0.0279
AGE                 0.0169    0.0323
NUM_CREDITS         0.0168    0.0156
OTHER_INSTALL       0.0136   -0.0174
RESIDENCE           0.0096   -0.0105
GUARANTOR           0.0095    0.0094
JOB                 0.0087    0.0087
CHK_ACCT            0.0079   -0.0035
PRESENT_RESIDENT    0.0070   -0.0086
NUM_DEPENDENTS      0.0062    0.0018
COAPPLICANT         0.0054    0.0072
EMPLOYMENT          0.0037    0.0014
PURPOSE             0.0021    0.0071
TELEPHONE           0.0010    0.0148
SEX                 0.0009    0.0141
SAV_ACCT           -0.0014   -0.0093

Does event 1 belong to outcome 0? Or does it belong to outcome 1 (failure)?

I made a feature importance chart recently. I want to make sure I am reading it correctly in R.

fit <- rfsrc(Surv(DURATION,DEFAULT) ~ .,
             data = CD, 
             ntree = 500, 
             importance = TRUE,
             nsplit = 5)


plot(fit)