I am comparing different models for an 8-class classification task. After my hyperparameter tuning, I run the final model 10 times, with different weight initializations to see the variance in my results. I notice that the classification error varies wildly between runs. I'm using Keras, with SimpleRNN (literally a vanilla recurrent neural network), LSTM, and GRU. Can anyone think of any source of this type of problem? EDIT: If this is too vague, please let me know what you need to know!
Multiclass classification: large variance in classification errors
classification;keras;multiclass classification