This research aims to create the most efficient and accurate cab fare prediction system using two machine learning algorithms, Multiple linear Regression algorithm random forest algorithm, compare parameters r-square, Mean Square Error (MSE), Root MSE, RMSLE values evaluate efficiency of algorithm. Considering as group 1 algorithms implemented, 2 process was predict prices get best accuracy alg...

Based on the multiple linear regression of relevant data 29 ships in basic database, including cargo ship, oil container ship and chemical etc, empirical estimation formula resistance coefficient single under different Fr was obtained. The feasibility applying above to prediction performance trimaran based DTMB5415 is verified by comparison with CFD simulation data. This method has a strong eng...

Aiming at the unreasonable problem of current football tactical analysis, this paper studies application method multiple regression in analysis. Build a rehearsal model, optimize player information and analysis management functions, analyze status. Using to choose appropriate position players, make attack defense plan. At same time, tactics can better select optimal plan, ensure rationality sel...