Journal of Big Data

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

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

Classifier	Support vector machine
Method used	P@R (precision)		PA % (prediction accuracy)
DMRDF	0.941	0.92	95.4
LSA-based	0.894	0.79	87.5
Gini-index	0.66	0.567	83.2

Classifier	Logistic regression
Method used	P@R	R@R %	PA %
DMRDF	0.915	0.849	93.5
LSA-based	0.839	0.753	83
Gini-index	0.62	0.52	79.8

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