Misfire Detection in Spark Ignition Engine Using Transfer Learning

Table 10

Performance comparison with other state-of-the-art methods.

State-of-the-art methods	Classification accuracy (%)	References
KNN	95.80	[27]
Decision tree	80.60	[28]
LMT	89.40	[28]
SVM	91.20	[29]
K-star	82.60	[30]
Proposed method	98.70

The proposed technique achieved higher classification accuracy (highlighted in bold) than other state of the art techniques presented in literature.