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. 2023 Nov 4;51:109761. doi: 10.1016/j.dib.2023.109761

Table 3.

Comparison among classification model based on the performance metric.

ML model Accuracy KS Avg. TP rate Place
PART 90.35 % 88.92 % 90.4 % 4th
Decision table 80.54 % 77.5 % 80.5 % 10th
K-NN 93.4 % 92.4 % 93.4 % 2nd
K* Algorithm 89.85 % 88.37 % 89.8 % 6th
J48 90.19 % 88.7 % 90.2 % 5th
Random forest 94.42 % 93.5 % 94.4 % 1st
JRIP 87.14 % 85.17 % 87.1 % 7th
Logit boost 84.60 % 82.37 % 84.6 % 8th
LMT 92.22 % 91.08 % 92.2 % 3rd
REPTree 83.93 % 81.5 % 83.9 % 9th