Is good shuffle random state for training data really good for the model?
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I'm using keras to train a binary classifier neural network. To shuffle the training data I am using shuffle function from scikit-learn.
I observe that for some shuffle_random_state (seed for shuffle()), the network gives really good results (~86% accuracy) while on others not so much (~75% accuracy). So i run the model for 1-20 shuffle_random_states and choose the random_state which gives the best accuracy for production model.
I was wondering if this is a good approach and with those good shuffle_random_state the network is actually learning better?
machine-learning neural-network keras scikit-learn
asked 8 mins ago
Chirag GuptaChirag Gupta
1
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add a comment |
$begingroup$
I'm using keras to train a binary classifier neural network. To shuffle the training data I am using shuffle function from scikit-learn.
I observe that for some shuffle_random_state (seed for shuffle()), the network gives really good results (~86% accuracy) while on others not so much (~75% accuracy). So i run the model for 1-20 shuffle_random_states and choose the random_state which gives the best accuracy for production model.
I was wondering if this is a good approach and with those good shuffle_random_state the network is actually learning better?
machine-learning neural-network keras scikit-learn
asked 8 mins ago
Chirag GuptaChirag Gupta
1
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I'm using keras to train a binary classifier neural network. To shuffle the training data I am using shuffle function from scikit-learn.
I observe that for some shuffle_random_state (seed for shuffle()), the network gives really good results (~86% accuracy) while on others not so much (~75% accuracy). So i run the model for 1-20 shuffle_random_states and choose the random_state which gives the best accuracy for production model.
I was wondering if this is a good approach and with those good shuffle_random_state the network is actually learning better?
machine-learning neural-network keras scikit-learn
asked 8 mins ago
Chirag GuptaChirag Gupta
1
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm using keras to train a binary classifier neural network. To shuffle the training data I am using shuffle function from scikit-learn.
I observe that for some shuffle_random_state (seed for shuffle()), the network gives really good results (~86% accuracy) while on others not so much (~75% accuracy). So i run the model for 1-20 shuffle_random_states and choose the random_state which gives the best accuracy for production model.
I was wondering if this is a good approach and with those good shuffle_random_state the network is actually learning better?
machine-learning neural-network keras scikit-learn
machine-learning neural-network keras scikit-learn
asked 8 mins ago
Chirag GuptaChirag Gupta
1
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
Chirag GuptaChirag Gupta
1
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
Chirag GuptaChirag Gupta
1
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
Chirag GuptaChirag Gupta
1
asked 8 mins ago
Chirag GuptaChirag Gupta
1
1
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Chirag Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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