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Sujith Viswanathan
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Sujith Viswanathan's Discussions

Suggestions for handling a multi-label multi-class unsupervised classification recommendations

Started Aug 1 0 Replies

Hi, I'm handling a  problem as shown in the below diagram, I need to predict the required output from the user inputs as shown below. I would like to know some suggestions regarding the best Machine…Continue

Tags: Recommendations, NLP, Deep Learning, Machine Learning

Handling unseen test values?

Started this discussion. Last reply by Ismael Jul 5. 1 Reply

I am solving a multi label multi class classification problem using random forest algorithm with the help of binary relevance method, I am using label encoder to convert categorical values.I would…Continue

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Sujith Viswanathan's discussion was featured

Suggestions for handling a multi-label multi-class unsupervised classification recommendations

Hi, I'm handling a  problem as shown in the below diagram, I need to predict the required output from the user inputs as shown below. I would like to know some suggestions regarding the best Machine learning approach to be used for solving this task.Dataset for learning:User Input:…See More
Aug 1
Sujith Viswanathan posted a discussion

Suggestions for handling a multi-label multi-class unsupervised classification recommendations

Hi, I'm handling a  problem as shown in the below diagram, I need to predict the required output from the user inputs as shown below. I would like to know some suggestions regarding the best Machine learning approach to be used for solving this task.Dataset for learning:User Input:…See More
Aug 1
Ismael replied to Sujith Viswanathan's discussion Handling unseen test values?
"Many libraries handle such unseen value like if it was a NaN i.e. the unseen value will take the same branch in the tree than the NaN. This indeed needs to be avoided as much as possible because unseen values do not bring any information and can…"
Jul 5
Sujith Viswanathan posted a discussion

Handling unseen test values?

I am solving a multi label multi class classification problem using random forest algorithm with the help of binary relevance method, I am using label encoder to convert categorical values.I would like to know how to handle, if an unseen value which was not present in the training set has appeared in the test set ???See More
Jul 4

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Completed M.Tech in Computational Engineering and Networking
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Data Science, Machine Learning, AI, Deep Learning
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