- Numpy random number seed: 0
- Ratio of training data to overall data: 0.90
- Number of epochs: 20
- Batch size: 16
- SAE hidden layers: 64-4-64
- SAE activation: relu
- SAE bias: False
- SAE optimizer: adam
- SAE loss: mse
- Classifier hidden layers: 32
- Classifier hidden layer activation: relu
- Classifier bias: False
- Classifier optimizer: adam
- Classifier loss: binary_crossentropy
- Classifier dropout rate: 0.10
- Classifier class weight for buildings: 50.00
- Classifier class weight for floors: 1.00
- Accuracy (building) = 1.000000e+00
- Accuracy (floor) = 9.000900e-01