SOTAVerified

Feature Engineering

Feature engineering is the process of taking a dataset and constructing explanatory variables — features — that can be used to train a machine learning model for a prediction problem. Often, data is spread across multiple tables and must be gathered into a single table with rows containing the observations and features in the columns.

The traditional approach to feature engineering is to build features one at a time using domain knowledge, a tedious, time-consuming, and error-prone process known as manual feature engineering. The code for manual feature engineering is problem-dependent and must be re-written for each new dataset.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 1706 papers

TitleStatusHype
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Customer Support Ticket Escalation Prediction using Feature Engineering—0
A strong baseline for question relevancy ranking—0
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System—0
Customers Churn Prediction in Financial Institution Using Artificial Neural Network—0
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
Cuffless Blood Pressure Estimation from Electrocardiogram and Photoplethysmogram Using Waveform Based ANN-LSTM Network—0
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
A State-of-the-Art Mention-Pair Model for Coreference Resolution—0
AMC-Net: An Effective Network for Automatic Modulation Classification—0
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction—0
Democratizing AI: Non-expert design of prediction tasks—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Cross-lingual Short-text Matching with Deep Learning—0
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science—0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
Cross-Class Relevance Learning for Temporal Concept Localization—0
Assets Forecasting with Feature Engineering and Transformation Methods for LightGBM—0
Credit card fraud detection using machine learning: A survey—0
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data—0
Asset price movement prediction using empirical mode decomposition and Gaussian mixture models—0
A Machine Learning Approach to Digital Contact Tracing: TC4TL Challenge—0
Show:102550
← PrevPage 22 of 69Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified