Running for size 16 and layers 3
./Models/heart/3_16/
./Models/heart/3_16/0/initial/model.h5
Best for : 3
Best: [0.837633] Layer Size [3] and Neuron Size [16] using {'batch_size': 64, 'epochs': 800, 'lr': 0.01}
0.707347 (0.027246) with: {'batch_size': 32, 'epochs': 1000, 'lr': 0.1}
0.804980 (0.037211) with: {'batch_size': 32, 'epochs': 1000, 'lr': 0.01}
0.792735 (0.056621) with: {'batch_size': 32, 'epochs': 1000, 'lr': 0.001}
0.707347 (0.027246) with: {'batch_size': 32, 'epochs': 500, 'lr': 0.1}
0.796980 (0.041317) with: {'batch_size': 32, 'epochs': 500, 'lr': 0.01}
0.792816 (0.061889) with: {'batch_size': 32, 'epochs': 500, 'lr': 0.001}
0.707347 (0.027246) with: {'batch_size': 32, 'epochs': 800, 'lr': 0.1}
0.837469 (0.075076) with: {'batch_size': 32, 'epochs': 800, 'lr': 0.01}
0.829388 (0.075588) with: {'batch_size': 32, 'epochs': 800, 'lr': 0.001}
0.727347 (0.045260) with: {'batch_size': 32, 'epochs': 400, 'lr': 0.1}
0.813143 (0.054796) with: {'batch_size': 32, 'epochs': 400, 'lr': 0.01}
0.776571 (0.077987) with: {'batch_size': 32, 'epochs': 400, 'lr': 0.001}
0.707347 (0.027246) with: {'batch_size': 64, 'epochs': 1000, 'lr': 0.1}
0.788490 (0.049764) with: {'batch_size': 64, 'epochs': 1000, 'lr': 0.01}
0.796980 (0.056626) with: {'batch_size': 64, 'epochs': 1000, 'lr': 0.001}
0.727755 (0.032025) with: {'batch_size': 64, 'epochs': 500, 'lr': 0.1}
0.772327 (0.039706) with: {'batch_size': 64, 'epochs': 500, 'lr': 0.01}
0.796816 (0.071632) with: {'batch_size': 64, 'epochs': 500, 'lr': 0.001}
0.707347 (0.027246) with: {'batch_size': 64, 'epochs': 800, 'lr': 0.1}
0.837633 (0.067513) with: {'batch_size': 64, 'epochs': 800, 'lr': 0.01}
0.796816 (0.047947) with: {'batch_size': 64, 'epochs': 800, 'lr': 0.001}
0.727755 (0.032025) with: {'batch_size': 64, 'epochs': 400, 'lr': 0.1}
0.829469 (0.053292) with: {'batch_size': 64, 'epochs': 400, 'lr': 0.01}
0.813306 (0.061141) with: {'batch_size': 64, 'epochs': 400, 'lr': 0.001}
0.707347 (0.027246) with: {'batch_size': 128, 'epochs': 1000, 'lr': 0.1}
0.809061 (0.026663) with: {'batch_size': 128, 'epochs': 1000, 'lr': 0.01}
0.813061 (0.034768) with: {'batch_size': 128, 'epochs': 1000, 'lr': 0.001}
0.735918 (0.066364) with: {'batch_size': 128, 'epochs': 500, 'lr': 0.1}
0.817143 (0.072804) with: {'batch_size': 128, 'epochs': 500, 'lr': 0.01}
0.800816 (0.053803) with: {'batch_size': 128, 'epochs': 500, 'lr': 0.001}
0.727347 (0.045260) with: {'batch_size': 128, 'epochs': 800, 'lr': 0.1}
0.817143 (0.052929) with: {'batch_size': 128, 'epochs': 800, 'lr': 0.01}
0.800816 (0.066289) with: {'batch_size': 128, 'epochs': 800, 'lr': 0.001}
0.707347 (0.027246) with: {'batch_size': 128, 'epochs': 400, 'lr': 0.1}
0.825469 (0.054467) with: {'batch_size': 128, 'epochs': 400, 'lr': 0.01}
0.797061 (0.065702) with: {'batch_size': 128, 'epochs': 400, 'lr': 0.001}
