International Journal for Research in Applied Science & Engineering Technology (IJRASET)

ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538

Volume 11 Issue I Jan 2023- Available at www.ijraset.com

Table1

Table 1 illustrates the error rate and time taken for selecting informative data. The proposed TEM illustrates a pure class sampling which gives a low error rate with a high performance rate. According to that the Disaster classes are better understood by the proposed technique and it is executed as compared to existing methods. As the error rate remains to be high for existing models that range between 0.21 to 0.15 due to poor initialization which leads to a high misprediction of disaster. Compared to existing models the proposed method performs better than existing models and achieves a low error rate of 0.02. Finally, Computational time is most important to avoid uncertain reactions within the networks. The proposed technique obtains low computation time i.e. from 3.25s. But the existing techniques achieve a high time i.e. 7.45s to 9.99s which is comparatively high and also leads to a high error rate