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python code for Confidence Interval for regression using Keras Deep NN

python code for Confidence Interval for regression using Keras Deep NN

data is tabular with both categorical and continues features

target is continues so it is regression

data you create by yourself or you existing data set

but both categorical and continues features

data is not big - lets say 100000 rows and 8 features

you need some special way to find reliability for each predictions

for example see

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but this approach is weak one

you need to find better one

maybe

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[login to view URL]@qucit/a-simple-technique-to-estimate-prediction-intervals-for-any-regression-model-2dd73f630bcb

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page 14

2.4.4 Prediction Interval for Artificial Neural Networks Several methods to estimate prediction intervals for neural networks exist. These include dropout [4], bootstrap [23], mean variance estimation [23] and upper lower bound estimation [24].

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[login to view URL]@qucit/a-simple-technique-to-estimate-prediction-intervals-for-any-regression-model-2dd73f630bcb

algorithm from these links maybe not good enough, you need to find theory and develop code to provide good solution

Навыки: Python, Machine Learning (ML), Статистика, Искусственный интеллект, Neural Networks

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( 5 отзыв(-а, -ов) ) Toronto, Canada

ID проекта: #29828909

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qaisrani123

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