Summary table: Oversampling techniques using SMOTE, ADASYN, and weighted rare classes.
, 2023 Summary table: Oversampling techniques using SMOTE, ADASYN, and weighted rare classes.
Alaa Alomari (17403786) +2 more
core +1 more source
Multi-Label Opinion Mining Based on Random Forest with SMOTE and ADASYN
CompilerMulti-label classification is essential to categorize data into multiple labels simultaneously. However, data imbalance poses a challenge, where some labels have much less representation, thus reducing the model performance.
Ricy Ardiansyah +2 more
doaj +1 more source
Penghitungan k-NN pada Adaptive Synthetic-Nominal (ADASYN-N) dan Adaptive Synthetic-kNN (ADASYN-kNN) untuk Data Nominal-Multi Kategori [PDF]
, 2017 Pada penelitian ini disajikan tentang contoh proses penghitungan k-NN pada teknik oversampling Adaptive Synthetic-Nominal (ADASYN-N) dan Adaptive Synthetic-kNN (ADASYN-kNN) untuk mengatasi masalah ketidakseimbangan (imbalanced) kelas pada dataset dengan ...
Adji, Teguh Bharata +2 more
core
Klasifikasi Balita Terkait Kasus Stunting Di Kota Surabaya Menggunakan Classification And Regression Trees (CART) dengan Adaptive Synthetic Nominal (ADASYN-N) dan Adaptive Synthetic K-Nearest Neighbor (ADASYN-kNN) [PDF]
, 2020 Stunting merupakan masalah gizi kronis yang disebabkan oleh defisiensi nutrien selama seribu hari pertama kehidupan yang menyebabkan penurunan kemampuan kognitif dan motorik serta penurunan performa kinerja fisik. Jumlah balita stunting di Indonesia kini
Insyroh, Winantri Nurbuwah
core
HeliyonThe study focusses on handling of multiclass imbalanced data on classification of stingless bee samples by employing data balancing techniques, namely Synthetic Minority Oversampling Technique (SMOTE) and Adaptive Synthetic (ADASYN) approach.
Daisy Salifu +4 more
doaj +1 more source
An Efficient SMOTE-Based Deep Learning Model for Voice Pathology Detection
Applied Sciences, 2023 The Saarbruecken Voice Database (SVD) is a public database used by voice pathology detection systems. However, the distributions of the pathological and normal voice samples show a clear class imbalance.
Ji-Na Lee, Ji-Yeoun Lee
doaj +1 more source
IJAIN (International Journal of Advances in Intelligent Informatics)Stroke is a serious medical condition resulting from disturbances in blood flow to the brain, signaling a chronic health issue that requires an immediate response.
Adiwijaya Adiwijaya +1 more
doaj +1 more source
Classification results of proposed ER-VC model for binary classification on ADASYN-balanced data.
, 2022 Classification results of proposed ER-VC model for binary classification on ADASYN-balanced data.
Furqan Rustam (10196722) +6 more
core +1 more source
ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA
BarekengImbalanced data is a commonly encountered issue in classification analysis. This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class.
Laila Qadrini +6 more
doaj +1 more source
Optimasi Metode CART Menggunakan Metode Bagging Pada Studi Kasus Data Imbalance Berbasis Metode Adasyn [PDF]
Penelitian ini membahas mengenai permasalahan data imbalance yang menyebabkan kinerja dari model klasifikasi menjadi tidak optimal. Dalam penelitian ini menerapkan metode Adaptive Synthetic Sampling (ADASYN) untuk menangani permasalahan data imbalance ...
Khana Pujiyanti
core +1 more source