Table 4.
Machine learning type | Model name | Branch (B) | Taproot (T) | Between T and B (TB) | |||
---|---|---|---|---|---|---|---|
Mean | SD | Mean | SD | Mean | SD | ||
Unsupervised machine learning | k-Means | 0.673 | 0.135 | 0.598 | 0.138 | 0.591 | 0.122 |
PAM | 0.447 | 0.164 | 0.525 | 0.180 | 0.452 | 0.169 | |
Supervised machine learning | Naïve Bayes | 0.787 | 0.041 | 0.779 | 0.036 | 0.581 | 0.054 |
Random forest | 0.843 | 0.029 | 0.852 | 0.031 | 0.703 | 0.071 | |
Deep learning | Neuralnet | 0.501 | 0.056 | 0.487 | 0.049 | 0.508 | 0.053 |
TensorFlow | 0.789 | 0.029 | 0.791 | 0.037 | 0.623 | 0.068 |