precision-recall-curve

There are 1 repository under precision-recall-curve topic.

metriculous-ml / metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
machine-learning statistics data-science deep-learning model-comparsion python model-evaluation regression classification model-selection visual-analysis precision-recall-curve roc-curve residual-plot confusion-matrix
Language:Python 94
sharmaroshan / SECOM-Detecting-Defected-Items
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
sampling-methods outlier-detection machine-learning classification precision-recall-curve anamoly-detection data-visualization feature-extraction
Language:Jupyter Notebook 26
stefmolin / ml-utils
Machine learning utility functions and classes.
roc-curve roc-auc pr-curve precision-recall precision-recall-curve pca scree-plot elbow-method elbow-plot adjusted-r-squared pipeline machine-learning confusion-matrix residuals
Language:Python 12
lotusCN / Precision-Recall-Curve
Matlab code for computing and visualization: Precision-Recall curve, AUPR, Accuracy etc. for Classification.
precision-recall-curve accuracy matlab classification
Language:MATLAB 10
Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras
ML/CNN Evaluation Metrics Package
precision-recall dice-coefficient confusion-matrix classification-accuracy curve precision-recall-curve roc-curve f-measure average-precision segmentaion-metrics classification-metrics object-detection-metrics
9
DavidRFerreira / InformationRetrieval_EvaluationMetrics
Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.
information-retrieval evaluation-metrics script precision recall precision-recall-curve search-engine python metrics
Language:Python 6
Niloth-p / Density-Based-Outlier-Detection
An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.
local-outlier-factor outlier-detection accuracy distancematrix density performance-metrics local-reachability-density k-nearest-neighbors mahalanobis-distance precision-recall-curve
Language:Python 6
adarshsankarrs / Spotify-Data-Analysis---RF-vs-MLP-Study
The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.
mlp precision-recall-curve random-forest roc-curve
Language:Jupyter Notebook 2
hidiryuzuguzel / Machine-Learning-Examples
bayesian-classifier gaussian-classifier handwritten-digit-recognition k-means-clustering linear-svm density-estimation adaboost pca precision-recall-curve auto-regressive-model sales-prediction least-square-regression
Language:Jupyter Notebook 2
JieniChen / Predicting-Model-on-Vehicle
This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
desiciontree knn-classification machine-learning machine-learning-algorithms precision precision-recall-chart precision-recall-curve recall
Language:Python 2
Ansu-John / Credit-Card-Fraud-Detection
Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
precision-recall-curve fraud-detection tensorflow keras logistic-regression-classfiers decision-tree-classifier svm-classifier knearest-neighbor-classifier roc-auc f1-score
Language:Jupyter Notebook 1
guilhermedom / sentiment-analysis-alexa-reviews
Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.
alexa imbalanced-data natural-language-processing neural-network nltk precision-recall-curve product-reviews roc-auc sentiment-analysis tensorflow
Language:Jupyter Notebook 1
liyijin-data-PM / Applied-Machine-Learning-in-Python-Coursera
A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library
scikit-learn supervised-machine-learning support-vector-machines lasso-regression ridge-regression decision-trees k-nearest-neighbours cross-validation regularization model-complexity model-evaluation confusion-matrix gridsearchcv roc-curve roc-auc precision-recall-curve
Language:Jupyter Notebook 1
nvlinhvn / customer-targeting-for-insurance
Identify which customer is willing to possess the insurance policy, so we campaign efficiently.
binary-classification entropy imbalanced-classification ks-distributions precision-recall-curve roc-auc-curve stacking-ensemble xgboost
Language:Jupyter Notebook 1
calculator3000 / ml-assignment-1
Linear Regression, Logistic Regression, ML Pipeline
linear-regression cross-validation house-price-prediction logistic-regression ml-pipeline polynomial-regression precision-recall-curve unbalanced-data
Language:Jupyter Notebook 0
eavise-kul / brambox-build
Build repository for brambox - https://gitlab.com/eavise/brambox
images annotations detections object-detection python statistics pr precision recall precision-recall-curve coco tide computer-vision cv
Language:Shell 0
emrecanduran / Marketing-Campaign-Response-Prediction
Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.
bias-variance borderline-smote imbalanced-data learning-curve logistic-regression precision-recall-curve
Language:Jupyter Notebook 0
faysal37 / titanic_hosted_by_kaggle
A Comprehensive Guide to Titanic Machine Learning from Disaster
univariate-distributions feature-engineering outlier-detection imputation bivariate-analysis multivariate-analysis data-transformation model-training cross-validation hyperparameter-tuning model-selection feature-importance learning-curve confusion-matrix precision recall f1-score classification-report precision-recall-curve auc-roc-curve
Language:Jupyter Notebook 0
jadhavsujit4 / LuceneIndexing
Search engine that queries for information to find the best results based on custom analysers and indexing techniques.
analyzer trec-eval map-score lucene search-engine searching-algorithms search custom-analyzer precision recall precision-recall-curve
Language:C 0
Jstacs / PRROC
area-under-curve classification evaluation-metrics precision-recall-curve receiver-operating-characteristic weighted-dataset
Language:R 0
evaluation_metrics
OMahmoodi / evaluation_metrics
This notebook describes how to compute and derive insights from various classification evaluation metrics.
classification-algorithm machine-learning evaluation-metrics confusion-matrix recall precision precision-recall-curve receiver-operating-characteristic
Language:Jupyter Notebook 0
rohith28 / Classification
Training binary classifier and multi-class classifier to classify the MNIST datase
classification sgd-classifier random-forest precision-recall-curve multiclass-classification
Language:Jupyter Notebook 0
RudraChatterjee / Hotel-Cancellation_Prediction_Classification
A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group
auc-roc-curve classification cost-complexity-pruning data-visualization decision-trees exploratory-data-analysis f1-score logistic-regression machine-learning precision precision-recall-curve pruning recall supervised-learning
Language:Jupyter Notebook 0
schatzederwelt / customer-churn-prediction
Предиктивный анализ оттока клиентов
pandas python downsampling dummy-classifier learning-curve upsampling validation-curve classification-report precision-recall-curve spearman-correlation data-pipelines relative-frequency-table classification data-analysis decision-tree downsampling-data logistic-regression pearson-correlation random-forest
Language:Jupyter Notebook 0
tpurcell0122github / INNHotels
A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
confusion-matrix decision-trees featureimportances logistic-regression multicollinearity precision-recall-curve pruning roc-auc-curve roc-auc-score cost-complexity-pruning visualization
0
Tracari / Credit_Risk_Analysis
Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk
python balanced-accuracy-scores balanced-random-forest imbalance-learning machine-learning machine-learning-algorithms python-library scikitlearn-machine-learning precision-recall precision-recall-curve
Language:Jupyter Notebook 0
AkashSDas / predict-hr-stay-or-leave
Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.
roc-curve kaggle kaggle-dataset unbalanced-data classification eda smote smote-sampling random-forest-classifier feature-elimination recursive-feature-elimination precision-recall-curve
Language:Jupyter Notebook
devinaa1604 / Classification
This repository is for me to experiment with various Classification Models using Python.
confusion-matrix decision-trees evaluation-metrics logistic-regression oversampling precision-recall-curve random-forest support-vector-machine undersampling
Language:Jupyter Notebook
pankush9096 / kaggle-Credit-Card-Fraud-Detection
This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.
machine-learning imbalanced-data anamoly-detection python pipeline deep-learning precision-recall-curve
Language:Jupyter Notebook
sheetalkalburgi / optimising-for-precision
precision-recall-curve machine-learning elmo-embedding keyword-extraction semisupervised-learning topic-modeling bert-embeddings use-embedding nltk-python nlp-machine-learning optimization-methods
Language:Jupyter Notebook

precision-recall-curve

metriculous-ml / metriculous

sharmaroshan / SECOM-Detecting-Defected-Items

stefmolin / ml-utils

lotusCN / Precision-Recall-Curve

Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

DavidRFerreira / InformationRetrieval_EvaluationMetrics

Niloth-p / Density-Based-Outlier-Detection

adarshsankarrs / Spotify-Data-Analysis---RF-vs-MLP-Study

hidiryuzuguzel / Machine-Learning-Examples

JieniChen / Predicting-Model-on-Vehicle

Ansu-John / Credit-Card-Fraud-Detection

guilhermedom / sentiment-analysis-alexa-reviews

liyijin-data-PM / Applied-Machine-Learning-in-Python-Coursera

nvlinhvn / customer-targeting-for-insurance

calculator3000 / ml-assignment-1

eavise-kul / brambox-build

emrecanduran / Marketing-Campaign-Response-Prediction

faysal37 / titanic_hosted_by_kaggle

jadhavsujit4 / LuceneIndexing

Jstacs / PRROC

OMahmoodi / evaluation_metrics

rohith28 / Classification

RudraChatterjee / Hotel-Cancellation_Prediction_Classification

schatzederwelt / customer-churn-prediction

tpurcell0122github / INNHotels

Tracari / Credit_Risk_Analysis

AkashSDas / predict-hr-stay-or-leave

devinaa1604 / Classification

pankush9096 / kaggle-Credit-Card-Fraud-Detection

sheetalkalburgi / optimising-for-precision