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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Development of predicitve models to distinguish metals from non-metal toxicants, and individual metal from one another

Fig. 1

Development of predicitve models for distinguishing metals from non-metal toxicants. a. SVM-RFE and InfoGain methods reached their highest accuracy at the feature size 50 and 150 respectively in 2007 dataset (Dataset 1). b SVM-RFE and InfoGain methods reached their highest accuracy at the feature size 25 and 100 respectively in 2007 dataset (Dataset 1). c SVM-RFE and InfoGain methods reached their highest accuracy at the feature size 25 and 10 respectively in 2008 dataset (Dataset 2). D Both SVM-RFE and InfoGain methods reached their highest accuracy at the feature size 25 in 2008 dataset (Dataset 2)

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