timethe process is expensiveand the tools to do it aren' very good but the hyperopt and hyperas libraries may be able to help you when doing hyperparameter optimizationbe mindful of validation-set overfittingwinning machine-learning competitions or otherwise obtaining the best possible results on task can only be done with large ensembles of models ensembling via well-optimized weighted average is usually good enough rememberdiversity is strength it' largely pointless to ensemble very similar modelsthe best ensembles are sets of models that are as dissimilar as possible (while having as much predictive power as possiblenaturallylicensed to