VB Classif V1.0 (Dr. U. S.N. MURTY, Scientist, IICT, Hyderabad and Dr.V.Sree Hari Rao, Professor, JNTU, Hyderabad) Copyright Ref:10/CR/2006.

• VBClassif 1.0 is the culmination of the effort to develop a Novel Classification Tool for the control of Vector Borne Diseases.
• Robustness and high effectiveness
• High percentage of classification accuracy.
• The well known K-Nearest Neighbourhood (KNN) Algorithm could classify the test data achieving an accuracy of 51.9%, 82.4% and 42.3% with different sizes of train data.
• User friendliness.
• Applicability for other two-tier classification environments.
• VB Classif 1.0 can also be used in categorizing genes among the diseased and normal persons.

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