auc-roc-score

There are 0 repository under auc-roc-score topic.

Home-Credit-Default-Risk-Recognition
abhishekdbihani / Home-Credit-Default-Risk-Recognition
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.
feature-engineering feature-selection binary-classification lightgbm auc-roc-score xgboost featuretools automated-feature-engineering hyperparameter-tuning hyperparameter-optimization bayesian-optimization f1-score auc-roc-curve loan-default-prediction k-fold-cross-validation scikit-learn imbalanced-data udacity-machine-learning-nanodegree hyperopt automl
Language:Jupyter Notebook 17
yzhuoning / DeepAUC
Stochastic AUC Maximization with Deep Neural Networks
auc-roc-score deep-neural-networks optimization
Language:Python 17
jacobstac / Bachelors-Thesis-Detection-of-Sleep-Apnea
Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)
psg-data ann svm extracted-features eeg-analysis eeg-classification eeg-signals-processing python3 polysomnography-data feature-extraction feature-selection covariance-matrix recursive-feature-elimination auc auc-roc-curve auc-roc-score
Language:Python 4
ivonajdenkoska / face-recognition-algorithms
Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven
face-recognition principal-component-analysis linear-discriminant-analysis local-binary-patterns computer-vision feature-extraction biometric-systems roc-curve auc-roc-score kuleuven biometrics face-identification
Language:Jupyter Notebook 3
JQmiracle / BA_865_Final_Project
Predicting Supreme Court Decisions
auc-roc-score deep-learning embeddings-word2vec lstm-neural-networks convolutional-neural-networks pretrained-embedding
Language:Jupyter Notebook 2
ksharma67 / Heart-Failure-Prediction
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.
decision-trees eda logistic-regression numpy pandas python random-forest skit-learn sklearn xgboost auc-roc-curve auc-roc-score eli5 gridsearchcv lime seaborn shap lightgbm svm
Language:Jupyter Notebook 2
TrainingByPackt / Applied-Deep-Learning-with-Keras-eLearning
Solve complex real-life problems with the simplicity of Keras
python keras scikit-learn sequential-modelling recurrent-neural-networks rnn convolutional-neural-network cnn max-pooling flattening feature-map feature-detection null-accuracy precision sensitivity specificity auc-roc-score keras-wrapper cross-validation deep-learning
Language:Jupyter Notebook 2
ajaycc17 / credit-card-fraud-detection
A machine-learning project on detection of fraudulent credit card transactions.
auc-roc-score classification credit-card-fraud-detection decision-tree-classifier f1-score logistic-regression random-forest
Language:Jupyter Notebook 1
karthikvadlamani / revolut-fraudsters-detection
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.
auc-roc-score average-precision balanced-accuracy-scores class-imbalance-problem cross-validation decision-trees feature-engineering logistic-regression performance-metrics
Language:Jupyter Notebook 0
newtonsgrandson / ROC-graph-for-multiclassification-with-using-logistic-regression
Creating ROC graph for every target on data
auc-roc-score graph machine-learning python roc-curve
Language:Python 0
dinhanhx / performance_calculation_tool_for_hm
Performance calculation tool for Hateful Memes Challenge
cli python3 python-3 hateful-memes-challenge auc-roc-score accuracy-score dataset
Language:Python