Research Article
Impact of Parameter Tuning for Optimizing Deep Neural Network Models for Predicting Software Faults
Table 8
Experiment performed on the PC2 dataset by tuning the parameter i.e., learning rate = −2, epochs = 100, 200, 300, 500, 1000, and 2000, number of layers = 5, and dropout = 0.2 and 0.5.
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