Table 1 Classification results
From: Pool detection from smart metering data with convolutional neural networks
Classification Method | Accuracy | Precision | |
|---|---|---|---|
a) | All-positive | 10.5% | 10.5% |
All-negative | 89.5% | - | |
b) | SVM Gaussian | 93.1% | 66.7% |
5-NN | 94.0% | 68.5% | |
1-NN | 93.4% | 66.7% | |
c) | CNN + 7-NN | 93.1% | 60.0% |
CNN + 5-NN | 93.1% | 57.7% | |
CNN + 1-NN | 93.4% | 60.6% | |
d) | CNN pure | 95.5% | 71.9% |