What are the crucial steps for creating a recommender system using multiclass classification?2019 Community Moderator ElectionLogistic Regression as multiclass classification using PySpark and issuesActivation method and Loss function for multilabel multiclass classificationGood performance metrics for multiclass classification problem besides accuracy?weighted cross entropy for imbalanced dataset - multiclass classificationWhat are the 2 classes of categories to help define a problemDuring a regression task, I am getting low R^2 values, but elementwise difference between test set and prediction values is hugeClassification model for recommender system?Why is recall so high?How to approach a machine learning problem?Multiclass class classification for text document
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What are the crucial steps for creating a recommender system using multiclass classification?
2019 Community Moderator ElectionLogistic Regression as multiclass classification using PySpark and issuesActivation method and Loss function for multilabel multiclass classificationGood performance metrics for multiclass classification problem besides accuracy?weighted cross entropy for imbalanced dataset - multiclass classificationWhat are the 2 classes of categories to help define a problemDuring a regression task, I am getting low R^2 values, but elementwise difference between test set and prediction values is hugeClassification model for recommender system?Why is recall so high?How to approach a machine learning problem?Multiclass class classification for text document
$begingroup$
I want to build a recommender system via multiclass classification ( i have 10 classes in the target variable which are products ). I have 5 or 6 features describing a person. I already built a model for a binary classification ( 2 outputs 0 and 1 using a supervised learning) and got around 80% accuracy on unseen data which is almost good enough for me to put it in production. However, i did the same steps for a 10-class target variable, got 60% ( not good enough ). I would like to know the must-do steps to get a highly accurate recommender system that can be used in production.
Note : I can provide further details on my features / target variable, but I'm mainly looking for general steps for this type of classification. Please signal me for more details in case you need it for clarification and i'll edit my post. Thanks
machine-learning multiclass-classification
asked Mar 26 at 17:07
BlenzusBlenzus
14610
$endgroup$
add a comment |
$begingroup$
I want to build a recommender system via multiclass classification ( i have 10 classes in the target variable which are products ). I have 5 or 6 features describing a person. I already built a model for a binary classification ( 2 outputs 0 and 1 using a supervised learning) and got around 80% accuracy on unseen data which is almost good enough for me to put it in production. However, i did the same steps for a 10-class target variable, got 60% ( not good enough ). I would like to know the must-do steps to get a highly accurate recommender system that can be used in production.
Note : I can provide further details on my features / target variable, but I'm mainly looking for general steps for this type of classification. Please signal me for more details in case you need it for clarification and i'll edit my post. Thanks
machine-learning multiclass-classification
asked Mar 26 at 17:07
BlenzusBlenzus
14610
$endgroup$
add a comment |
$begingroup$
I want to build a recommender system via multiclass classification ( i have 10 classes in the target variable which are products ). I have 5 or 6 features describing a person. I already built a model for a binary classification ( 2 outputs 0 and 1 using a supervised learning) and got around 80% accuracy on unseen data which is almost good enough for me to put it in production. However, i did the same steps for a 10-class target variable, got 60% ( not good enough ). I would like to know the must-do steps to get a highly accurate recommender system that can be used in production.
Note : I can provide further details on my features / target variable, but I'm mainly looking for general steps for this type of classification. Please signal me for more details in case you need it for clarification and i'll edit my post. Thanks
machine-learning multiclass-classification
asked Mar 26 at 17:07
BlenzusBlenzus
14610
$endgroup$
I want to build a recommender system via multiclass classification ( i have 10 classes in the target variable which are products ). I have 5 or 6 features describing a person. I already built a model for a binary classification ( 2 outputs 0 and 1 using a supervised learning) and got around 80% accuracy on unseen data which is almost good enough for me to put it in production. However, i did the same steps for a 10-class target variable, got 60% ( not good enough ). I would like to know the must-do steps to get a highly accurate recommender system that can be used in production.
Note : I can provide further details on my features / target variable, but I'm mainly looking for general steps for this type of classification. Please signal me for more details in case you need it for clarification and i'll edit my post. Thanks
machine-learning multiclass-classification
machine-learning multiclass-classification
asked Mar 26 at 17:07
BlenzusBlenzus
14610
asked Mar 26 at 17:07
BlenzusBlenzus
14610
edited Mar 27 at 8:35
Blenzus
asked Mar 26 at 17:07
BlenzusBlenzus
14610
asked Mar 26 at 17:07
BlenzusBlenzus
14610
asked Mar 26 at 17:07
BlenzusBlenzus
14610
14610
add a comment |
add a comment |
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