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Questions - catboost

How to automatically choose meaning num_features_to_select with best result in select_features from CatBoostClassifier?

I'm writting a class on Python, where I'm trying to automatically pick up a value of num_features_to_select in CatBoostClassifier().select_features(). Right now, function uses enumeration of num_fea...
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curly_arti

python

feature-selection

catboost

Votes: 0

Answers: 2

Latest Answer

Use the summary dictionary output to find your best point. If you want an interactive plot to define it, you can use the following: import matplotlib.pyplot as plt line = plt.plot(summary["loss_...
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Darwin

CatBoostClassifier fail to train on Databricks cluster

I am getting a very strange error with CatBoost Spark on Databricks cluster. Below is the error; The CatBoostClassifier.fit() will fail on starter code. enter image description here
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summer5e

catboost

Votes: 0

Answers: 0

How to implement calculating pAUC and its derivatives in python?

According to this paper, the method of maximizing pAUC is useful for unbalanced binary classification problems. Since gradient boosting libraries such as LightGBM, CatBoost and XGBoost do not implemen...
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toshi71

python

xgboost

lightgbm

catboost

Votes: 0

Answers: 0

Catboost Python: How to interpret the MAE and R2 values

I have fitted a regression model using Catboost. I want to predict tax values. The target variable which I am trying to predict is: count 192687.00000 mean 94280.45840 std 154699...
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Sara Ghaderi

python

regression

metrics

evaluation

catboost

Votes: 0

Answers: 0

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