Validation is a critical step in the QSAR model development. Validation methods are required for establishing predictability of QSAR model on unseen data and for determination of complexity of QSAR model which is justified by the data under study. Number of methods like the methods of least squares fit (R2), cross validation (Q2), adjusted R2 (R2adj), chi-squared test (χ2), root mean squared error (RMSE), bootstrapping and scrambling (Y-Randomization) are reported for internal validation of QSAR models. Observed activity of molecules in dataset was expressed in MIC(μg/ml) and converted into pMIC for QSAR analysis. All the molecules in the dataset are having activity (MIC) in the range 1.5–29.00 μg/ml.