From: A method using artificial neural networks to morphologically assess mouse blastocyst quality
Error from training | 12.07% |
Error from validation | 30.00% |
Error from test | 25.00% |
Error from all data | 18.37% |
Mean Square Error (MSE) | 0.023206 |
Training Data | 60% |
Validation Data | 20% |
Test Data | 20% |
Number of neurons in the first layer | 18 |
Number of neurons in the second layer | 13 |
Function in the first layer | purelin |
Function in the second layer | logsig |
Training function | trainscg |