Author

H. Mwambi

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Scalable Random Survival Forests via Risk Set Sampling

Across all settings, RSF models trained on approximately 25 − 40% of each risk set achieve concordance index value that are very similar from those obtained using full risk sets, while reducing training time by more than half.

Justine B. Nasejje, Niklas Koenen, Marvin N. Wright et al. · 0 citations