Questions tagged [catboost]

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python & R

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Looking for information regarding tree-based gradient boosting algorithms comparative performance on data sets with different underlying properties

I have a difficult time finding any theoretical or empirical comparative research regarding the tree-based gradient boosting algorithms on data sets with different underlying properties. Is there any ...
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1answer
93 views

Why does LightGBM Classifier gives some folks a probability of 1 of belonging in a class with log-loss?

I'm trying to use the LightGBM package in python for a multi-class classification problem and I'm baffled by its results. For a minority of the population, LightGBM predicts a probability of 1 (...
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Combine CatBoost with deep learning classifier

I'm using CatBoost to solve a binary classification problem. Most of my features are binary, but the order of features does matter. I've come up with a Recurrent Neural Network that has similar ...
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27 views

Prior for categorical transformation in catboost

I applied CatBoost to a binary classification problem with a feature with lots of unique values. I was surprised when SHAP analysis showed that new, unseen values in the validation set had a very ...
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296 views

catboost does not overfit - how is that possible?

I'm fitting and evaluating a CatBoostRegressor and a XGBRegressor to the same regression problem. I tried matching their ...
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39 views

what's the split criteria used by catboost?

I'm trying to understand the split criteria used by catboost in the "plain" boosting mode (not interested in the "ordered" mode complication). In "algorithm 2 - Building a tree" they are saying that ...
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128 views

Gradient boosting (GB) splitting methods (categorical features)

Regarding categorical features - ordinary trees treat categorical features in two main ways, CART - considers only binary splitting, those computing the mean response value (y_mean_i per each category ...
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1answer
1k views

L2 Regularization in CatBoost

I am studying the CatBoost paper https://arxiv.org/pdf/1706.09516.pdf (particularly Function BuildTree in page 16), and noticed that it did not mention regularization. In particular, split selection ...
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1answer
291 views

negative value of prediction from a training set that only contains positives

a catboost model recently gave me a % of predictions that are negative while none of the training set contains negative values for the label. How is this possible especially in cases where the % of ...
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1answer
333 views

Model Size of Random Forest VS CatBoost

I trained models based on the same dataset, using random forest (sklearn) and CatBoost. I use n_estimators=1000 for random forest, and n_estimators(iterations)=1000 for CatBoost. The random forest ...
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19 views

Tweak Model or Process to Focus More on Category Values for Regression

I have built a machine learning model using Catboost and I noticed something as I examine the results. When I am looking at the results there is a big fluctuation in the errors between my test set and ...
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415 views

Negative Feature Importance Value in CatBoost LossFunctionChange

I am using CatBoost for ranking task. I am using QueryRMSE as my loss function. I notice for some features, the feature importance values are negative and I don't know how to interpret them. It says ...
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214 views

AUPRC vs AUROC and updating training set in quasi-classification problem

I have an unbalanced classification problem (95% "0", 5% "1") regarding quality control."0" means "no problem" and "1" means "problem". I'm not predicting real cases one by one, this is, my client ...
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727 views

Feature Interaction Strength in Catboost

I was wondering if anyone knew how the feature interaction strength is calculated in the catboost package. The documentation https://catboost.ai/docs/concepts/output-data_feature-analysis_feature-...
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820 views

(Low cardinality) categorical features handling in gradient boosting libraries

In some popular gradient boosting libraries (lgb, catboost), they all seems like can handle categorical inputs by just specifying the column names of the categorical features, and pass it into a ...
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1answer
332 views

Catboost Regression. Function Extrapolation

I'm new at ML and have a problem with catboost. So, I want to predict function value (For example cos | sin etc.). I went over everything but my prediction is always straight line Is it possible and ...
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61 views

catboost ignoring my holiday category

I'm experimenting with catboost, predicting electricity demand from temperature, timeofday, dayofweek and if a day is a public holiday or not (and a few other continuous and categorical columns but ...
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164 views

Please correct my assumption on how regression trees work

I'm trying to understand how regression trees work, I've been experimenting with catboost and xgboost in python, and I'm getting results which I don't expect, can someone please clarify (and apologies ...
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1k views

What are the key hyperparameters to tune in CatBoost?

I've used XGBoost for a long time but I'm new to CatBoost. If I wanted to run a sklearn RandomizedSearchCV, what are CatBoost's hyperparameters worthwhile including for a binary classification problem?...
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998 views

IncToDec Catboost Explained

I am struggling to understand how the overfitting detector with catboost works: https://tech.yandex.com/catboost/doc/dg/concepts/overfitting-detector-docpage/#overfitting-detector I am finding ...