The recompression and compression index of fine-grained soil, obtained from the onedimensional consolidation test, is used to determine the settlement of over-consolidated and normally consolidated fine-grained soils. Compression and re-compression indices are obtained from consolidation laboratory tests and this trained requires a longer time. To overcome this problem, correlation equations developed from simple and easily available index tests are required. To develop predictive models for recompression and compression indices, a one-dimensional consolidation test and other index tests were performed for 20 samples, 15 data points for training, and 5 data points for validation. The consolidation and hydraulic conductivity tests were performed from undisturbed soil samples and other index tests were performed using representative soil samples. JMP statistical software was used to develop the correlation equations. This software is used to validate the developed models by randomly selecting the validation data. The models for the compression and recompression indices were developed based on the number of parameters. Three correlation equations for both compression and recompression indices were developed based on the number of parameters. Compression index equations were developed using the liquid limit (single parameter), liquid limit, and initial void ratio (two parameters) and using plastic limit, bulk density and initial void ratio (three parameters). Recompression index equations were developed using the liquid limit (single parameter), liquid limit and plasticity index (two parameters) and using liquid limit, plasticity index and initial void ratio (three parameters). Based on the evaluation criteria, equations for compression and recompression indices have R-squared values in the range of 0.91 to 0.95. Liquid limit is highly correlated with both compression and recompression indices. The validation Rsquared value for these models is greater than the R-squared values. Based on the validation results the proposed models are valid and applicable for the intended purpose. The proposed predictive models for the compression and recompression indices are used for red clay soils with properties related to a case study area. Keywords: Re-compression index, compression index, regression technique, consolidation settlement, index properties, red clay soil