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Table 3 Performance comparison of the proposed model with state of art techniques

From: Improving prediction with enhanced Distributed Memory-based Resilient Dataset Filter

ClassifierSupport vector machine
Method usedP@R (precision) PA % (prediction accuracy)
DMRDF0.9410.9295.4
LSA-based0.8940.7987.5
Gini-index0.660.56783.2
ClassifierLogistic regression
Method usedP@RR@R %PA %
DMRDF0.9150.84993.5
LSA-based0.8390.75383
Gini-index0.620.5279.8