Highest Voted 'xgbclassifier' Questions

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XGBoostClassifier isn't accelerated by GPU

I'm trying to speed ud my XGBClassifier using the GPU. I've tried this code but it takes the same time for both GPU and CPU: import xgboost as xgb from sklearn.datasets import fetch_covtype from sklearn.model_selection import train_test_split import…

gpu xgboost xgbclassifier

asked Aug 10 '21 at 01:20

ianux22

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ValueError: Classification metrics can't handle a mix of continuous and multiclass targets (XGBoost)

for a project I'm using a classifier, with XGBoost. Here is a part of the code: import ... tab = 'tab.csv' datasset = read_csv(tab, decimal=".") target_attribute = dataset['AVG'] a = random.randrange(1, 1000) seed = a test_size = 0.33 X_train,…

python xgboost xgbclassifier

asked Jun 23 '21 at 09:19

FChris

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XGB - Feature shape mismatch

the function failed at prediction with the error: f"Feature shape mismatch, expected: {self.num_features()}, " ValueError: Feature shape mismatch, expected: 395, got 395 testX - 1 X 395 (Dataframe) trainX - n X 395 (Dataframe) def…

python decision-tree xgboost predict xgbclassifier

asked May 10 '21 at 20:31

efrat

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How to add extra 5k trees in xgb classification

I have run XGBClassification where I have used 5k trees - model =…

classification xgboost xgbclassifier

asked Apr 16 '21 at 06:48

Adrish Ray

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WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.3.0/src/learner.cc:541: Parameters: { xgb_model } might not be used

I want to do Incremental Learning using XGBClassifier. I found xgb_model parameter of XGB can achieve this. As a 1st Step, I trained XGB Classifier on 1st Data Set. It trained well & Predictions were also made. code is as follows: from xgboost…

python pre-trained-model xgbclassifier

asked Jan 26 '21 at 16:56

Santhosh Boddana

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Xgboost - Decision Tree - Only one leaf

I'm try to plot a decision trees of Xgboost models from different datasets. Which worked fine for most of them, but for one dataset the plot_tree just shows only one leaf. It's weird for me, once the max_depth of that model is 5. Could anyone give…

python decision-tree xgboost xgbclassifier

asked Sep 15 '20 at 21:22

ErickV

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Check the SHAP feature importance for a subset of features

I`m trying to check the feature importance of an model I build using SHAP. It works fine using the following, but I would like to have a graph with only a subset of features. Could this be possible? shap.summary_plot(shap_values, features=X_train2,…

python classification xgboost shap xgbclassifier

asked Sep 02 '20 at 22:36

onr

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XGBoost, XGBClassifier : Unknown Objective Function Error

I am trying to train an XGBClassifier, but I am getting this error. I am using xgboost version 1.1.0. I used pip install xgboost for installing xgboost, and I also upgraded it. param_dict = {'n_estimators':i, 'max_depth':j,…

python machine-learning xgboost xgbclassifier

asked Jun 13 '20 at 02:39

Pratap Chandra Das

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XGBoostError: value 0 for Parameter num_class should be greater equal to 1

I'm trying to compare two different feature sets for classifying customers into high-value, mid-value, and low-value. This is the code I used: ltv_xgb_model = xgb.XGBClassifier(max_depth=5,…

python xgboost xgbclassifier

asked Jun 06 '20 at 00:01

Life is Good

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Hyperparameters tuning using GridSearchCV

I'm new to machine learning and I'm trying to predict the topic of an article given a labeled datasets that each contains all the words in one article. There are 11 different topics total and each article only has single topic. I have built a…

python machine-learning scikit-learn xgbclassifier

asked Apr 07 '20 at 07:39

SuShiS

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xgb.cv's auc score is not matching with cross_val_score when `colsample_bytree` is other than 1

I am working on highly imbalanced dataset. During hyperparameter tuning, I found that if colssample_bytree is set to value other than 1, then cross_val_score from sklearn package is not matching with the auc score obtained from xgb.cv. xgb.cv…

python cross-validation xgboost k-fold xgbclassifier

asked Mar 26 '20 at 13:53

Ravi Prasad

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How to handle weighted average for AUC and selecting the right threshold for building the confusion matrix?

I have a binary classification task, where I fit the model using XGBClassifier classifier and try to predict ’1’ and ‘0’ using the test set. In this task I have a very unbalanced data majority ‘0‘ and minority ‘1’ at training data (of coarse the…

machine-learning confusion-matrix weighted-average auc xgbclassifier

asked Mar 04 '20 at 13:02

Spedo

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Changes to model performance by changing random_state of XGBClassifier

I trained a XGBClassifier for my classification problem and did Hyper-parameter tuning over huge grid(probably tuned every possible parameter) using optuna. While testing, change of random_state changes model performance metrics…

python xgboost feature-selection xgbclassifier

asked Dec 13 '19 at 08:39

dgomzi

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how to create a confusion matrix for xgboost in R

I have already created my XGBoost classifier in R as in below code #importing the dataset XGBoostDataSet_Hr_Admin_8 <- read.csv("CompletedDataImputed_HR_Admin.csv") #Use factor function to convert categorical data to numerical…

r xgboost xgbclassifier

asked Nov 13 '19 at 13:32

ibocus

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H2O-3 Flow(UI) and XGBoost

I get the error below when I select to run XGBOOST via the menu in H2O-3 flow UI or when I include it when running all architectures (also via the "AutoML" options in H2O-3 flow). I only select the train + validation frames + response column and the…

python h2o xgboost xgbclassifier

asked Oct 27 '19 at 17:48

PabloDK

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Questions tagged [xgbclassifier]