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Abstract
Ultra-High-Performance Concrete (UHPC) is a new type of concrete that has gained popularity in recent decades due to its high strength and durability. In this study results of M5P and random forest are compared to predict the compressive strength of ultra-high-performance concrete for 28 days. A total of 236 readings are taken in this investigation. Out of 236 readings 70% that is 157 readings are used in training period and the remaining 79 are used for testing period. The results of Random Forest and M5P are then compare to find which is more effective in predicting the compressive strength of Ultra High-Performance concrete. The accuracy of the model depends upon Performance evaluation parameters which are Corelation Coefficient (CC), Root mean square error (RMSE) and mean absolute error (MAE). After getting the value of coefficient of correlation, root mean square error, mean absolute error it is observed that that Random Forest is better than M5P as the values of CC, RMSE, MAE are 0.8568, 16.005 and 12.03 for testing stage respectively.
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