Cover Image

The effect of different feature selection methods on models created with XGBoost

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Neyra, Jorge, Siramshetty, Vishal B., Ashqar, Huthaifa I.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics
by: Jaradat, Shadi, et al.
Published: (2024)

Position bias in features
by: Demsyn-Jones, Richard
Published: (2024)

Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
by: Wang, Yuanrong, et al.
Published: (2025)

Research on feature fusion and multimodal patent text based on graph attention network
by: Song, Zhenzhen, et al.
Published: (2025)

Intelligent Algorithm Selection for Recommender Systems: Meta-Learning via in-depth algorithm feature engineering
by: Decker, Jarne Mathi
Published: (2025)

Recommendation systems in e-commerce applications with machine learning methods
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)

Compressed models are NOT miniature versions of large models
by: Rai, Rohit Raj, et al.
Published: (2024)

Efficient user history modeling with amortized inference for deep learning recommendation models
by: Hertel, Lars, et al.
Published: (2024)

Revisiting Graph Projections for Effective Complementary Product Recommendation
by: Anghinoni, Leandro, et al.
Published: (2025)

DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash
by: Gurjar, Omkar, et al.
Published: (2025)

KGLink: A column type annotation method that combines knowledge graph and pre-trained language model
by: Wang, Yubo, et al.
Published: (2024)

Incentive-Aware Recommender Systems in Two-Sided Markets
by: Dai, Xiaowu, et al.
Published: (2022)

A Design Space for Explainable Ranking and Ranking Models
by: Hazwani, I. Al, et al.
Published: (2022)

Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
by: Pires, Pedro R., et al.
Published: (2025)

Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search
by: Kirchoff, Kathryn E., et al.
Published: (2024)

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems
by: Maqbool, M. H., et al.
Published: (2025)

Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
by: Melchiorre, Alessandro B., et al.
Published: (2025)

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
by: Paz-Ruza, Jorge, et al.
Published: (2024)

Content filtering methods for music recommendation: A review
by: Zeng, Terence, et al.
Published: (2025)

On the effective transfer of knowledge from English to Hindi Wikipedia
by: Das, Paramita, et al.
Published: (2024)

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
by: Nandi, Subhadip, et al.
Published: (2024)

Autoregressive Generation Strategies for Top-K Sequential Recommendations
by: Volodkevich, Anna, et al.
Published: (2024)

Revisiting Bi-Encoder Neural Search: An Encoding--Searching Separation Perspective
by: Tran, Hung-Nghiep, et al.
Published: (2024)

RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
by: Xiang, Yang, et al.
Published: (2024)

Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
by: Luo, Chaoguang, et al.
Published: (2024)

Let's Get It Started: Fostering the Discoverability of New Releases on Deezer
by: Briand, Léa, et al.
Published: (2024)

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
by: Iyengar, Garud, et al.
Published: (2024)

Domain Adaptation of Multilingual Semantic Search -- Literature Review
by: Bringmann, Anna, et al.
Published: (2024)

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
by: Yu, Yuanqing, et al.
Published: (2024)

Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
by: Wang, Yuan, et al.
Published: (2024)

Debiased Recommendation with Noisy Feedback
by: Li, Haoxuan, et al.
Published: (2024)

Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations
by: Igebaria, Reda, et al.
Published: (2024)

Polyhedral Conic Classifier for CTR Prediction
by: Turkmen, Beyza, et al.
Published: (2024)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
by: Bao, Shilong, et al.
Published: (2024)

Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information
by: Jiang, Yukun, et al.
Published: (2024)

Probability Distribution Learning and Its Application in Deep Learning
by: Qi, Binchuan, et al.
Published: (2024)

GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
by: Sun, Yundong, et al.
Published: (2024)

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
by: Sun, Peijie, et al.
Published: (2024)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
by: Wei, Shaowei, et al.
Published: (2024)