Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
Fuente:
arXiv
Guardado en:
| Autor principal: | Adutwum, Emmanuel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Quantile Additive Trend Filtering
por: Zhang, Zhi, et al.
Publicado: (2023)
por: Zhang, Zhi, et al.
Publicado: (2023)
Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
por: Arafat, Jahidul, et al.
Publicado: (2025)
por: Arafat, Jahidul, et al.
Publicado: (2025)
Machine Collaboration
por: Liu, Qingfeng, et al.
Publicado: (2021)
por: Liu, Qingfeng, et al.
Publicado: (2021)
SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
por: Kurbucz, Marcell T., et al.
Publicado: (2025)
por: Kurbucz, Marcell T., et al.
Publicado: (2025)
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
por: Wan, Shu, et al.
Publicado: (2026)
por: Wan, Shu, et al.
Publicado: (2026)
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
por: Dominguez, Alejandro Rodriguez, et al.
Publicado: (2023)
por: Dominguez, Alejandro Rodriguez, et al.
Publicado: (2023)
Beyond Least Squares: Robust Regression Transformer (R2T)
por: Gutierrez, Roman, et al.
Publicado: (2025)
por: Gutierrez, Roman, et al.
Publicado: (2025)
Deterministic Coreset Construction via Adaptive Sensitivity Trimming
por: Alpay, Faruk, et al.
Publicado: (2025)
por: Alpay, Faruk, et al.
Publicado: (2025)
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
por: de Zuazo, Xabier, et al.
Publicado: (2025)
por: de Zuazo, Xabier, et al.
Publicado: (2025)
Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
por: Ramlan, Fitria Wulandari, et al.
Publicado: (2025)
por: Ramlan, Fitria Wulandari, et al.
Publicado: (2025)
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
por: Maturo, Fabrizio, et al.
Publicado: (2024)
por: Maturo, Fabrizio, et al.
Publicado: (2024)
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
por: Loffredo, Giuseppe, et al.
Publicado: (2025)
por: Loffredo, Giuseppe, et al.
Publicado: (2025)
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
por: Alagöz, Celal, et al.
Publicado: (2026)
por: Alagöz, Celal, et al.
Publicado: (2026)
Federated Learning and Class Imbalances
por: Zhu, Siqi, et al.
Publicado: (2026)
por: Zhu, Siqi, et al.
Publicado: (2026)
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
por: Dominguez, Alejandro Rodriguez, et al.
Publicado: (2025)
por: Dominguez, Alejandro Rodriguez, et al.
Publicado: (2025)
Spectral-Transport Stability and Benign Overfitting in Interpolating Learning
por: Fredriksson-Imanov, Gustav Olaf Yunus Laitinen-Lundström
Publicado: (2026)
por: Fredriksson-Imanov, Gustav Olaf Yunus Laitinen-Lundström
Publicado: (2026)
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
por: Manokhin, Valery, et al.
Publicado: (2026)
por: Manokhin, Valery, et al.
Publicado: (2026)
Bias in Surface Electromyography Features across a Demographically Diverse Cohort
por: Agrawal, Aditi, et al.
Publicado: (2026)
por: Agrawal, Aditi, et al.
Publicado: (2026)
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
por: Maturo, Fabrizio, et al.
Publicado: (2024)
por: Maturo, Fabrizio, et al.
Publicado: (2024)
ML-driven detection and reduction of ballast information in multi-modal datasets
por: Solovko, Yaroslav
Publicado: (2026)
por: Solovko, Yaroslav
Publicado: (2026)
OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness
por: Barnard, Amanda S
Publicado: (2026)
por: Barnard, Amanda S
Publicado: (2026)
Ultrahigh-Q chiral resonances empowered by multi-head attention deep learning
por: Zhang, Cong, et al.
Publicado: (2025)
por: Zhang, Cong, et al.
Publicado: (2025)
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
por: Ojeda, Sebastian, et al.
Publicado: (2025)
por: Ojeda, Sebastian, et al.
Publicado: (2025)
Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
por: Landers, Jonathan R.
Publicado: (2025)
por: Landers, Jonathan R.
Publicado: (2025)
Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
por: Pinchuk, Mykola
Publicado: (2026)
por: Pinchuk, Mykola
Publicado: (2026)
Conservative Decisions with Risk Scores
por: Wei, Yishu, et al.
Publicado: (2025)
por: Wei, Yishu, et al.
Publicado: (2025)
No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
por: Fokoué, Ernest
Publicado: (2025)
por: Fokoué, Ernest
Publicado: (2025)
Predicting California Bearing Ratio with Ensemble and Neural Network Models: A Case Study from Turkiye
por: Kökçam, Abdullah Hulusi, et al.
Publicado: (2025)
por: Kökçam, Abdullah Hulusi, et al.
Publicado: (2025)
ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
por: Basu, Abhinaba, et al.
Publicado: (2026)
por: Basu, Abhinaba, et al.
Publicado: (2026)
Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
por: Erden, Caner, et al.
Publicado: (2025)
por: Erden, Caner, et al.
Publicado: (2025)
Model-agnostic Mitigation Strategies of Data Imbalance for Regression
por: Wibbeke, Jelke, et al.
Publicado: (2025)
por: Wibbeke, Jelke, et al.
Publicado: (2025)
Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation
por: Freise, Nina, et al.
Publicado: (2025)
por: Freise, Nina, et al.
Publicado: (2025)
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
por: MacKinlay, Dan, et al.
Publicado: (2024)
por: MacKinlay, Dan, et al.
Publicado: (2024)
Models Parametric Analysis via Adaptive Kernel Learning
por: Norkin, Vladimir, et al.
Publicado: (2025)
por: Norkin, Vladimir, et al.
Publicado: (2025)
Support-Conditioned Flow Matching Is Kernel Smoothing
por: Smola, Daniel Matsui
Publicado: (2026)
por: Smola, Daniel Matsui
Publicado: (2026)
Robustness Auditing for Linear Regression: To Singularity and Beyond
por: Rubinstein, Ittai, et al.
Publicado: (2024)
por: Rubinstein, Ittai, et al.
Publicado: (2024)
Deep Jump Gaussian Processes for Surrogate Modeling of High-Dimensional Piecewise Continuous Functions
por: Xu, Yang, et al.
Publicado: (2025)
por: Xu, Yang, et al.
Publicado: (2025)
Can Agentic AI Match the Performance of Human Data Scientists?
por: Luo, An, et al.
Publicado: (2025)
por: Luo, An, et al.
Publicado: (2025)
Ejemplares similares
-
Quantile Additive Trend Filtering
por: Zhang, Zhi, et al.
Publicado: (2023) -
Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
por: Arafat, Jahidul, et al.
Publicado: (2025) -
Machine Collaboration
por: Liu, Qingfeng, et al.
Publicado: (2021) -
SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
por: Kurbucz, Marcell T., et al.
Publicado: (2025) -
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
por: Wan, Shu, et al.
Publicado: (2026)