SMAI Project of Team Skynet: Analysing methods to tackle class imbalance for classification problems
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Dec 10, 2021 - Jupyter Notebook
#
class-imbalance-problem
Here are 12 public repositories matching this topic...
Code for "Generative Oversampling for Imbalanced Data via Majority-Guided VAE", AISTATS2023.
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Feb 10, 2023 - Python
This code is a PyTorch implementation of ClassAwareLoss proposed in the "Class-aware fish species recognition using deep learning for an imbalanced dataset" paper. https://www.mdpi.com/1424-8220/22/21/8268
python
class-imbalance
loss-functions
classification-algorithm
fish-detection
pytorch-implementation
fish-recognition
class-imbalance-problem
fish-species-recognition
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May 17, 2023 - Python
model to predict whether a customer would be interested in vehicle insurance
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Jun 23, 2023 - Jupyter Notebook
Classification of movies as 'Fresh', 'Rotten', 'Certified-Fresh' using categorical predictors as well as review sentiment. Performed feature encoding and used Decision Tree, Random Forest Classifiers. Tackled class imbalance issues by assigning weights to classes. Used tokenization to generate word vectors for reviews to predict movie status.
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Jul 19, 2023 - Jupyter Notebook
Performed feature engineering, cross-validation (5 fold) on baseline and cost-sensitive (accounting for class imbalance) Decision trees and Logistic Regression models and compared performance. Used appropriate performance metrics i.e., AUC ROC, Average Precision and Balanced Accuracy. Outperformed baseline model.
cross-validation
performance-metrics
logistic-regression
decision-trees
feature-engineering
average-precision
auc-roc-score
balanced-accuracy-scores
class-imbalance-problem
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Jul 24, 2023 - Jupyter Notebook
Develop Machine Learning model to predict customer loan defaults, enhancing lending risk assessment. Real-world relevance tackling financial uncertainty. #The Analytics Olympiad 2023
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Aug 30, 2023 - Jupyter Notebook
[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
optimization
neurips
long-tailed-recognition
neurips-2022
class-imbalance-problem
long-tailed-learning
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Oct 16, 2023 - Python
Build a CNN based model which can accurately detect melanoma
data-augmentation
keras-tensorflow
cnn-classification
melanoma-detection
class-imbalance-problem
skin-cancer-classification
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Mar 13, 2024 - Jupyter Notebook
This repository contains the complete project for Emotion Detection using Convolutional Neural Networks (CNNs) and the FER-2013 dataset. The project focuses on addressing class imbalance, applying data augmentation techniques, and leveraging advanced architectures such as VGG16 and ResNet50v2 to improve the robustness and accuracy.
deep-learning
convolutional-neural-networks
transfer-learning
data-augmentation
fine-tuning
class-imbalance-problem
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Jun 25, 2024 - Jupyter Notebook
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
machine-learning
machine-learning-algorithms
feature-selection
feature-extraction
class-imbalance
shapely
feature-importance
shap
shapley-decomposition
shapley-value
shapley-values
shap-values
shapley-additive-explanations
shap-analysis
class-imbalance-problem
shapleyvalue
weighted-shapley
weighted-shap
weighted-shap-confidence-interval
weighted-shapley-ci
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Jul 30, 2024 - R
RCSMOTE: Range-Controlled Synthetic Minority Over-sampling Technique for handling the class imbalance problem
smote
over-sampling
imbalanced-classification
smote-sampling
imbalanced-datasets
class-imbalance-problem
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Aug 31, 2024
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