# Constructing a Gaming Model for Professional Tennis Players Using the C5.0 Algorithm
## 4 Results
As for [PERSON]'s forehand technique, C5.0 was as high in accuracy as 99.96%. The classification accuracy was 6.72% higher than that of [PERSON]'s method, which was 93.24%. Regarding the backhand, the C5.0 algorithm had a classification accuracy of 98.83% for [PERSON], which was 7.71% higher than the 91.12% accuracy of [PERSON]'s method. For [PERSON]'s backhand, the C5.0 classification accuracy was as high as 91.24%, that is, 0.75% higher than that of [PERSON]'s method, which was 90.49%. Thus, the classification accuracy of the C5.0 algorithm was higher overall than that of [PERSON]'s method. The same results were found in other tennis-technique classification sections. In terms of the classification accuracy of [PERSON] and [PERSON]'s performances, in the first-serve part, the C5.0 algorithm had a classification accuracy of 98.36% for [PERSON], which was 1.36% higher than that of [PERSON]'s method (96.73%). For [PERSON]'s first-serve part, C5.0 had a classification accuracy of 99.10%, which was 0.74% higher than that of [PERSON]'s method (98.36%). In the second-serve part, the C5.0 algorithm had a classification accuracy of 89.03% for [PERSON], that is, 1.69% higher than that of [PERSON]'s method (87.34%). In the second-serve part for [PERSON], C5.0 was as high as 99.42% in classification accuracy, that is, 1.44% higher than that of [PERSON]'s method (97.98%). In the second-serve section, the classification accuracies of both C5.0 and [PERSON]'s method were below 90%, and it is worth exploring in depth the reasons underlying this low level of accuracy. Similar problems \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Code**} & \multicolumn{6}{c}{**[PERSON]**} & \multicolumn{6}{c}{**[PERSON]**} \\ \cline{2-10}  & **Experts** & **Qiu’s Method** & **C5.0** & **Experts** & **Qiu’s Method** & **C5.0** \\ \cline{2-10}  & **Times** & **Times** & **Accuracy** & **Times** & **Accuracy** & **Times** & **Accuracy** & **Times** & **Accuracy** \\ \hline a & 2497 & 2227 & 89.19\% & 2373 & 95.03\% & 2691 & 2509 & 93.24\% & 2690 & 99.96\% \\ b & 2139 & 1949 & 91.12\% & 2114 & 98.83\% & 1997 & 1807 & 90.49\% & 1822 & 91.24\% \\ c & 98 & 89 & 90.82\% & 93 & 94.90\% & 23 & 22 & 95.65\% & 23 & 100\% \\ d & 124 & 120 & 96.77\% & 125 & 99.19\% & 33 & 32 & 96.97\% & 33 & 100\% \\ e & 9 & 7 & 77.78\% & 6 & 66.67\% & 2 & 1 & 50.00\% & 2 & 100\% \\ f & 14 & 11 & 78.57\% & 13 & 92.86\% & 3 & 2 & 66.67\% & 4 & 66.67\% \\ g & 89 & 85 & 95.51\% & 88 & 98.88\% & 45 & 47 & 95.56\% & 45 & 100\% \\ h & 492 & 479 & 97.36\% & 473 & 96.14\% & 372 & 365 & 98.12\% & 374 & 99.46\% \\ i & 794 & 768 & 96.73\% & 781 & 98.36\% & 892 & 875 & 98.09\% & 884 & 99.10\% \\ j & 474 & 414 & 87.34\% & 422 & 89.03\% & 346 & 339 & 97.98\% & 344 & 99.42\% \\ k & 34 & 35 & 97.06\% & 34 & 100\% & 17 & 19 & 88.24\% & 17 & 100\% \\ l & 25 & 23 & 92.00\% & 25 & 100\% & 18 & 20 & 88.89\% & 16 & 88.89\% \\ m & 0 & 0 & 100\% & 0 & 100\% & 2 & 2 & 100\% & 2 & 100\% \\ \hline Summary & 6789 & 6207 & 91.56\% & 6547 & 94.61\% & 6441 & 6040 & 89.22\% & 6256 & 95.75\% \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Classification of techniques used by [PERSON] and [PERSON]. emerged for the classification accuracy of [PERSON]'s tennis techniques, both the C5.0 and [PERSON]'s method classification accuracy in the backhand-half-volley part being below 70%, thus a not high accuracy, as the reader can also see from the video Redefine classification. With regard to the first-serve classification, for both [PERSON] and [PERSON], Table 2 shows that the classification accuracy was 96%. In particular, the C5.0 algorithm was as high as 98% in accuracy. Subsequently, the striking habits, along with their advantages and disadvantages, of both [PERSON] and [PERSON] were examined. Using the first-server rate as an example, the dependent variable was the winning or losing of each point, and the independent variables were the location and the technique.