Table 4:

The influence of imbalance on classification accuracy.

Classifier
DatasetKNNSVMRandom forests1D CNN
Dataset A38.5%47.5%34.6%35.7%
Dataset B64.2%68.5%62.5%88.2%
Dataset C76.7%80.3%78.5%91.4%
Classifier
DatasetKNNSVMRandom forests1D CNN
Dataset A38.5%47.5%34.6%35.7%
Dataset B64.2%68.5%62.5%88.2%
Dataset C76.7%80.3%78.5%91.4%
Table 4:

The influence of imbalance on classification accuracy.

Classifier
DatasetKNNSVMRandom forests1D CNN
Dataset A38.5%47.5%34.6%35.7%
Dataset B64.2%68.5%62.5%88.2%
Dataset C76.7%80.3%78.5%91.4%
Classifier
DatasetKNNSVMRandom forests1D CNN
Dataset A38.5%47.5%34.6%35.7%
Dataset B64.2%68.5%62.5%88.2%
Dataset C76.7%80.3%78.5%91.4%
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