Questions tagged [catboost]
The catboost tag has no usage guidance.
9
questions
5
votes
0answers
127 views
How to achieve SHAP values for a CatBoost model in R?
I'm asked to create a SHAP analysis in R but I cannot find it how to obtain it for a CatBoost model. I can get the SHAP values of an XGBoost model with
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3
votes
0answers
28 views
What is the concept behind the categorical-encoding used in the CatBoost benchmark problems?
I'm working through CatBoost quality benchmark problems (here). I'm particularly intrigued by the methodology adopted to convert categorical features to numerical values as described in the ...
2
votes
1answer
31 views
Catboost multiclassification evaluation metric: Kappa & WKappa
I am working on an unbalanced classification problem and i want to use Kappa as my evaluation metric. Considering the classifier accepts weights (which i have given it), should i still be using ...
1
vote
1answer
20 views
Does Gradient Boosting perform n-ary splits where n > 2?
I wonder whether algorithms such as GBM, XGBoost, CatBoost, and LightGBM perform more than two splits at a node in the decision trees? Can a node be split into 3 or more branches instead of merely ...
1
vote
2answers
109 views
Does gradient boosting algorithm error always decrease faster and lower on training data?
I am building another XGBoost model and I'm really trying not to overfit the data. I split my data into train and test set and fit the model with early stopping based on the test-set error which ...
0
votes
1answer
59 views
training gradient boosting algorithm in python testing in Golang
What are the best strategy to train and save a gradient boosting algorithm, e.g. LightGBM or XGboost or Catboost in Python but load the model in GoLang and make prediction with Golang ?
0
votes
0answers
59 views
When to consider examples as duplicates in a classification problem?
I'm trying to train a model for a binary classification problem and I'm trying to understand if my model is biased from my data or if my results are valid.
I have a pandas dataframe as output of my ...
0
votes
0answers
26 views
Feature Selection before modeling with Boosting Trees
I have read in some papers that the subset of features chosen for a boosting tree algorithm will make a big difference on the performanceso I've been trying RFE, Boruta, Clustering variables, ...
0
votes
0answers
42 views
How to understand the definition of Greedy Target-based Statistics in the CatBoost paper
There is a method named Target statistics to deal with categorical features in the catboost paper. I still some confusion about the mathematical form. Could you some guys to expain how to compute it!
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