recall-score

There are 0 repository under recall-score topic.

iamkirankumaryadav / Improvement
Improving a Machine Learning Model
accuracy-score f1-score grid-search-cross-validation gridsearchcv matplotlib numpy pandas precision-score python randomforestclassifier randomized-search-cross-validation randomizedsearchcv recall-score
Language:Jupyter Notebook 1
ludovicmarecaux / London_Pumpy
Data Project
classification-algorithm data matplotlib optuna python3 recall-score regression sgdclassifier shap sklearn-library streamlit xgboost-algorithm passive-aggressive-regressor
Language:Jupyter Notebook 1
NitinNandeshwar / Credit-Card-Fraud-Detection
Performed EDA, Data Pre-processing, Imbalance data and Supervised Machine learning to predict customer transaction is fraud using features such as services that customer has signed up for, customer account information, and demographic information about the customer.
recall-score random-forest
Language:Jupyter Notebook 1
personal-loan-modelling
sandyy2505 / personal-loan-modelling
Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve
statsmodels auc-roc-curve logistic-regression decision-tree gridsearchcv vif cost-complexity-pruning recall-score
Language:Jupyter Notebook 1
yash-sarwaswa / Pneumonia-Detection-CNN
A python GUI application that uses a Convolutional Neural Network built in Tensorflow and Keras to classify chest x-rays into NORMAL or PNEUMONIC. The model has been trained on the dataset obtained from Kaggle and produces a good recall score of 94% on the test set.
pneumonia-detection-cnn convolutional-neural-network tensorflow classify-chest-xrays recall-score
Language:Jupyter Notebook 1
anuj-rai-23 / Model-Ananlysis-and-Red-Wine-Quality-Prediction
An attempt to study various ML models for predicting the quality of Red Wine using various performance measures.
python machine-learning wine-quality ipynb-jupyter-notebook ipynb random-forest decision-tree-classifier decision-tree gradient-boosting-classifier accuracy-metrics performance-measures svm-classifier support-vector-machines recall-score f1-score
Language:Jupyter Notebook 0
cheeann13 / Custormer-Segmentation
Classification problems with imbalance datasets, a SMOTE approach
accuracy recall-score imbalanced-classification imbalanced-data
Language:Jupyter Notebook 0
vahadruya / Capstone_Classification_Cardiovascular_Risk_Prediction
This project explores the Framingham Heart disease dataset with the objective to predict its risk in 10 years. Various methods for handling missing values and outliers are explored as iterations. After analysing the dataset, important and necessary features are selected. Seven ML models are implemented, with evaluation on the basis of Test Recall.
chi-squared-test classification decision-trees heart-disease-prediction knn-classifier knn-imputation pandas python random-forest-classifier recall-score regression-imputation shap shapiro sklearn smote t-test trimming winsorization xgboost-classifier
Language:Jupyter Notebook 0
arzuisiktopbas / Risky_Business
Machine-learning models to predict credit risk using free data from LendingClub. Imbalanced-learn and Scikit-learn libraries to build and evaluate models by using Resampling and Ensemble Learning
cluster-centroids-algorithm algorithm oversampling-algorithms recall-score smoteenn
Language:Jupyter Notebook

recall-score

iamkirankumaryadav / Improvement

ludovicmarecaux / London_Pumpy

NitinNandeshwar / Credit-Card-Fraud-Detection

sandyy2505 / personal-loan-modelling

yash-sarwaswa / Pneumonia-Detection-CNN

anuj-rai-23 / Model-Ananlysis-and-Red-Wine-Quality-Prediction

cheeann13 / Custormer-Segmentation

vahadruya / Capstone_Classification_Cardiovascular_Risk_Prediction

arzuisiktopbas / Risky_Business