Aim: To predict flight fare for ticket booking using machine learning algorithm XGBRegression compared with KNeighbour Regression Materials and Methods: The XGB Regression (N=10) and KNeighbour Regression algorithm (N=10) these two algorithms are calculated by using two groups and a total of 20 samples taken for both algorithm and accuracy in this work. The sample size was measured as 10 per group using a G Power value of 80%. Results and Discussion: The Values obtained in terms of Accuracy are Identified by XGB Regression (87.6%) over KNeighbour Regression (49.1%). Statistical significance difference between XGBRegression and KNeighbour Regression Algorithm was found to be 0.00 in the 2-tailed test (p<0.05). Discussion and Conclusion: After all the Procedures the Prediction of Flight fare using the novel XGBRegression appears to be more accurate when compared to KNeighbour Regression.