Metrics for presenting RNN/LSTM result
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I am working on a two different architecture based on LSTM model to predict the users next action based on the previous actions. I am wondering, what is the best way to present the result? Is it okay to present only the prediction accuracy? Or Should I use other metrics? I found a paper using top_K_accuracy where on a different paper I found AUC of ROC. Overall, I want to know what is the state of art of presenting prediction accuracy based on LSTM model.
machine-learning lstm rnn accuracy metric
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
$endgroup$
add a comment |
$begingroup$
I am working on a two different architecture based on LSTM model to predict the users next action based on the previous actions. I am wondering, what is the best way to present the result? Is it okay to present only the prediction accuracy? Or Should I use other metrics? I found a paper using top_K_accuracy where on a different paper I found AUC of ROC. Overall, I want to know what is the state of art of presenting prediction accuracy based on LSTM model.
machine-learning lstm rnn accuracy metric
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
$endgroup$
add a comment |
$begingroup$
I am working on a two different architecture based on LSTM model to predict the users next action based on the previous actions. I am wondering, what is the best way to present the result? Is it okay to present only the prediction accuracy? Or Should I use other metrics? I found a paper using top_K_accuracy where on a different paper I found AUC of ROC. Overall, I want to know what is the state of art of presenting prediction accuracy based on LSTM model.
machine-learning lstm rnn accuracy metric
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
$endgroup$
I am working on a two different architecture based on LSTM model to predict the users next action based on the previous actions. I am wondering, what is the best way to present the result? Is it okay to present only the prediction accuracy? Or Should I use other metrics? I found a paper using top_K_accuracy where on a different paper I found AUC of ROC. Overall, I want to know what is the state of art of presenting prediction accuracy based on LSTM model.
machine-learning lstm rnn accuracy metric
machine-learning lstm rnn accuracy metric
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
asked 19 mins ago
Bloodstone ProgrammerBloodstone Programmer
4316
4316
add a comment |
add a comment |
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