def filter_features(model_results, significance=0.1):
    return list((model_results.index[index] for index, pvalues in enumerate(model_results)
                if pvalues > significance))
Get independent subsets of the data.
dataset/ETHPy150Open agconti/KaggleAux/kaggleaux/modeling.py/filter_features--crossover with--dataset/ETHPy150Open borg-project/borg/borg/storage.py/RunData.collect_independent