How to use ML model for deriving a formula for prediction?
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I have dataset of springs conditions before and after boring a tunnel. I have deployed a machine learning model in Rapidminer for predicting the springs condition after tunneling into 3 categories, low, mid and high.
I can reuse this model in Rapidminer for many times, however, I want to share this classification model with my co-workers who don't know anything about machine learning. So, I need a simple formula based on the model that I've deployed.
I've used different algorithms (SVM, Random forest, Naive Bayes, etc) and have the weight of each parameter. I've also read a lot of papers about developing a prediction formula with neural network, but I don't know how to work it out.
Thank you in advance for your comments.
machine-learning svm prediction multilabel-classification
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$begingroup$
I have dataset of springs conditions before and after boring a tunnel. I have deployed a machine learning model in Rapidminer for predicting the springs condition after tunneling into 3 categories, low, mid and high.
I can reuse this model in Rapidminer for many times, however, I want to share this classification model with my co-workers who don't know anything about machine learning. So, I need a simple formula based on the model that I've deployed.
I've used different algorithms (SVM, Random forest, Naive Bayes, etc) and have the weight of each parameter. I've also read a lot of papers about developing a prediction formula with neural network, but I don't know how to work it out.
Thank you in advance for your comments.
machine-learning svm prediction multilabel-classification
New contributor
$endgroup$
add a comment |
$begingroup$
I have dataset of springs conditions before and after boring a tunnel. I have deployed a machine learning model in Rapidminer for predicting the springs condition after tunneling into 3 categories, low, mid and high.
I can reuse this model in Rapidminer for many times, however, I want to share this classification model with my co-workers who don't know anything about machine learning. So, I need a simple formula based on the model that I've deployed.
I've used different algorithms (SVM, Random forest, Naive Bayes, etc) and have the weight of each parameter. I've also read a lot of papers about developing a prediction formula with neural network, but I don't know how to work it out.
Thank you in advance for your comments.
machine-learning svm prediction multilabel-classification
New contributor
$endgroup$
I have dataset of springs conditions before and after boring a tunnel. I have deployed a machine learning model in Rapidminer for predicting the springs condition after tunneling into 3 categories, low, mid and high.
I can reuse this model in Rapidminer for many times, however, I want to share this classification model with my co-workers who don't know anything about machine learning. So, I need a simple formula based on the model that I've deployed.
I've used different algorithms (SVM, Random forest, Naive Bayes, etc) and have the weight of each parameter. I've also read a lot of papers about developing a prediction formula with neural network, but I don't know how to work it out.
Thank you in advance for your comments.
machine-learning svm prediction multilabel-classification
machine-learning svm prediction multilabel-classification
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asked 3 mins ago
Ashkan Lotfi pourAshkan Lotfi pour
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