Running for size 16 and layers 3
./Models/heart/3_16/
Reading from exisiting location ./Models/heart/3_16/0/train_data.csv
./Models/heart/3_16/0/initial/model.h5
Best for : 3
Best: [0.813520] Layer Size [3] and Neuron Size [16] using {'batch_size': 32, 'epochs': 400, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 32, 'epochs': 1000, 'lr': 0.1}
0.777126 (0.042657) with: {'batch_size': 32, 'epochs': 1000, 'lr': 0.01}
0.805272 (0.053310) with: {'batch_size': 32, 'epochs': 1000, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 32, 'epochs': 500, 'lr': 0.1}
0.743793 (0.056668) with: {'batch_size': 32, 'epochs': 500, 'lr': 0.01}
0.801361 (0.047465) with: {'batch_size': 32, 'epochs': 500, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 32, 'epochs': 800, 'lr': 0.1}
0.801701 (0.024372) with: {'batch_size': 32, 'epochs': 800, 'lr': 0.01}
0.793197 (0.055498) with: {'batch_size': 32, 'epochs': 800, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 32, 'epochs': 400, 'lr': 0.1}
0.760459 (0.035082) with: {'batch_size': 32, 'epochs': 400, 'lr': 0.01}
0.813520 (0.075210) with: {'batch_size': 32, 'epochs': 400, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 64, 'epochs': 1000, 'lr': 0.1}
0.789286 (0.032830) with: {'batch_size': 64, 'epochs': 1000, 'lr': 0.01}
0.784694 (0.096276) with: {'batch_size': 64, 'epochs': 1000, 'lr': 0.001}
0.710544 (0.040681) with: {'batch_size': 64, 'epochs': 500, 'lr': 0.1}
0.785119 (0.056041) with: {'batch_size': 64, 'epochs': 500, 'lr': 0.01}
0.772364 (0.082399) with: {'batch_size': 64, 'epochs': 500, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 64, 'epochs': 800, 'lr': 0.1}
0.772619 (0.014623) with: {'batch_size': 64, 'epochs': 800, 'lr': 0.01}
0.797109 (0.067986) with: {'batch_size': 64, 'epochs': 800, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 64, 'epochs': 400, 'lr': 0.1}
0.707738 (0.177581) with: {'batch_size': 64, 'epochs': 400, 'lr': 0.01}
0.785204 (0.055897) with: {'batch_size': 64, 'epochs': 400, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 16, 'epochs': 1000, 'lr': 0.1}
0.777211 (0.047934) with: {'batch_size': 16, 'epochs': 1000, 'lr': 0.01}
0.776531 (0.035063) with: {'batch_size': 16, 'epochs': 1000, 'lr': 0.001}
0.710459 (0.043127) with: {'batch_size': 16, 'epochs': 500, 'lr': 0.1}
0.768878 (0.040498) with: {'batch_size': 16, 'epochs': 500, 'lr': 0.01}
0.801361 (0.061485) with: {'batch_size': 16, 'epochs': 500, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 16, 'epochs': 800, 'lr': 0.1}
0.789116 (0.048597) with: {'batch_size': 16, 'epochs': 800, 'lr': 0.01}
0.780357 (0.075232) with: {'batch_size': 16, 'epochs': 800, 'lr': 0.001}
0.714626 (0.045665) with: {'batch_size': 16, 'epochs': 400, 'lr': 0.1}
0.801616 (0.038574) with: {'batch_size': 16, 'epochs': 400, 'lr': 0.01}
0.809694 (0.046481) with: {'batch_size': 16, 'epochs': 400, 'lr': 0.001}
