Overview
Dataset
MNIST
Metric
Accuracy
Budget
300
Best ID
2-1-3
Best Accuracy
0.9453
Hyperparameter Space
Sample Type
random
samples
BO
Batch Size
16
32
64
Optimizer
RMSprop
Adam
SGD
Momentum
[0, 1]
Hidden Size
16
32
64
Scheduler
True
False
Learning Rate
[0.0001, 0.1]
Activation
relu
lrelu
tanh
Weight Decay
[0, 0.001]
| Sample Id | Budget | Sample type | Batch size | Optimizer | Momentum | Hidden size | Scheduler | Learning rate | Activation | Weight Decay | Loss | Accuracy |
|---|