auc-roc-score

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Here are 11 public repositories matching this topic...

yzhuoning / DeepAUC

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Stochastic AUC Maximization with Deep Neural Networks

deep-neural-networks optimization auc-roc-score

Updated Apr 1, 2021
Python

abhishekdbihani / Home-Credit-Default-Risk-Recognition

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The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

scikit-learn feature-selection xgboost hyperparameter-optimization lightgbm hyperopt feature-engineering bayesian-optimization hyperparameter-tuning binary-classification imbalanced-data automl loan-default-prediction udacity-machine-learning-nanodegree f1-score automated-feature-engineering featuretools auc-roc-curve auc-roc-score k-fold-cross-validation

Updated Jul 1, 2020
Jupyter Notebook

jacobstac / Bachelors-Thesis-Detection-of-Sleep-Apnea

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Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)

svm python3 feature-selection feature-extraction auc ann covariance-matrix eeg-analysis eeg-classification recursive-feature-elimination eeg-signals-processing auc-roc-curve auc-roc-score psg-data extracted-features polysomnography-data

Updated Apr 12, 2020
Python

ivonajdenkoska / face-recognition-algorithms

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Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven

computer-vision feature-extraction biometrics face-recognition roc-curve principal-component-analysis linear-discriminant-analysis kuleuven face-identification local-binary-patterns biometric-systems auc-roc-score

Updated Mar 21, 2020
Jupyter Notebook

JQmiracle / BA_865_Final_Project

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Predicting Supreme Court Decisions

deep-learning convolutional-neural-networks lstm-neural-networks embeddings-word2vec pretrained-embedding auc-roc-score

Updated Jul 25, 2022
Jupyter Notebook

TrainingByPackt / Applied-Deep-Learning-with-Keras-eLearning

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Solve complex real-life problems with the simplicity of Keras

Updated Aug 28, 2019
Jupyter Notebook

ksharma67 / Heart-Failure-Prediction

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This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

python random-forest numpy svm sklearn eda pandas seaborn xgboost lightgbm logistic-regression decision-trees lime eli5 gridsearchcv auc-roc-curve shap auc-roc-score skit-learn

Updated Dec 16, 2022
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ajaycc17 / credit-card-fraud-detection

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A machine-learning project on detection of fraudulent credit card transactions.

random-forest classification logistic-regression decision-tree-classifier f1-score credit-card-fraud-detection auc-roc-score

Updated Nov 15, 2022
Jupyter Notebook

karthikvadlamani / revolut-fraudsters-detection

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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