Category "catboost"

How to create a for loop with checking appended models

I have a list of models that I iterate through in a for loop getting their performances. I've added catboost to my model list, but when I try to add it's best e

Get Confidence probability Scores for each Predicted Result in Catboost Classifier

I have built a machine learning model using Catboost classifier to predict the categoryname of my result as per below screenshot1. However, if I get an unknown

How do I know the order of the classes in a CatBoost classifier weights?

This is a pretty dumb question, but I couldn't find anywhere, so I will take my chances in here... I'm building a classifier using CatBoost. Since this is a NLP

Catboost overfits training data but test performance increases

I'm training catboost on a dataset made of 41k observations and ~60 features. The dataset is a longitudinal series (9 years) that is spatially distributed. At t

Optuna catboost pruning

is there a way to have pruning with CatBoost and Optuna (in LightGBM it's easy but in Catboost I can't find any hint). My code is like this def objective(trial)

Catboost hyperparams search

I want to use default hyperparams in randomized search, how can I do it? (per_float_feature_quantization param here) grid = {'learning_rate': [0.1, 0.16, 0.2],

Catboost: how do I pass cat_features to a saved model in Python?

I have this pre-trained saved model, where I informed my categorical features, and it's working fine if I predict right after training. Now I wanna use it again

CatBoost precision imbalanced classes

I use a CatBoostClassifier and my classes are highly imbalanced. I applied a scale_pos_weight parameter to account for that. While training with an evaluation d

Example how to use catboost with the time series data

In the introduction/promo video (https://www.youtube.com/watch?v=s8Q_orF4tcI) you have mentioned that Catboost can analyse the time series historical data for w

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