Table 5.

Performance of the ensemble random forests model of return success and time at large measured by three threshold-independent metrics: area under the curve (AUC), root mean squared error (RMSE), and the true skill statistic (TSS). There were four possible states in the model, no returns, returning after 2 years at large, returning after 3 years at large, and returning after 4 years at large, each with their own performance.

StateAUCRMSETSS
No returns0.890.470.62
2 years at large0.990.210.94
3 years at large0.90.350.63
4 years at large10.210.98
StateAUCRMSETSS
No returns0.890.470.62
2 years at large0.990.210.94
3 years at large0.90.350.63
4 years at large10.210.98
Table 5.

Performance of the ensemble random forests model of return success and time at large measured by three threshold-independent metrics: area under the curve (AUC), root mean squared error (RMSE), and the true skill statistic (TSS). There were four possible states in the model, no returns, returning after 2 years at large, returning after 3 years at large, and returning after 4 years at large, each with their own performance.

StateAUCRMSETSS
No returns0.890.470.62
2 years at large0.990.210.94
3 years at large0.90.350.63
4 years at large10.210.98
StateAUCRMSETSS
No returns0.890.470.62
2 years at large0.990.210.94
3 years at large0.90.350.63
4 years at large10.210.98
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