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Projects in Awesome Lists tagged with confusion-matrix
A curated list of projects in awesome lists tagged with confusion-matrix .
https://github.com/sepandhaghighi/pycm
Multi-class confusion matrix library in Python
accuracy ai artificial-intelligence classification confusion-matrix data data-analysis data-mining data-science deep-learning deeplearning evaluation machine-learning mathematics matrix ml multiclass-classification neural-network statistical-analysis statistics
Last synced: 17 Dec 2024
https://github.com/apple/ml-hierarchical-confusion-matrix
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
confusion-matrix data-visualization machine-learning visual-analytics
Last synced: 16 Dec 2024
https://github.com/cheind/tf-matplotlib
Seamlessly integrate matplotlib figures as tensorflow summaries.
blittable confusion-matrix matplotlib tensorboard tensorflow
Last synced: 01 Nov 2024
https://github.com/pengzhaoqing/kdd99-scikit
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
confusion-matrix decision-tree intrusion-detection kdd99 mlp scikit-learn
Last synced: 18 Nov 2024
https://github.com/altimis/confusion-matrix-for-mask-r-cnn
Confusion matrix for Mask R-CNN (Matterport implementation)
confusion-matrix deep-learning mask-rcnn maskrcnn matterport object-detection plotting
Last synced: 14 Nov 2024
https://github.com/oneoffcoder/py-pair
Pairwise association measures of statistical variable types
apache-spark association asymmetric binary-variable biserial categorical-variable causation concordance confusion-matrix contingency-table continuous-variable correlation interval-variable nominal-variable ordinal-variable ranking ratio-variable symmetric
Last synced: 05 Nov 2024
https://github.com/hollobit/ml_evaluation_metrics
Landscape of ML/DL performance evaluation metrics
accuracy-metrics auc-roc-curve classification computer-vision-metrics confusion-matrix deep-generative-model deep-learning deep-neural-networks detection evaluation evaluation-metrics metrics ml performance-analysis prediction regression-metrics segmentation statistical-metrics super-resolution
Last synced: 16 Nov 2024
https://github.com/aquatiko/sentiment-analysis-tfidf-vectorizer-method
Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.
confusion-matrix movie-reviews naive-bayes-classifier sentiment-analysis sklearn-vectorizer tfidf wordnet
Last synced: 12 Oct 2024
https://github.com/chinmayrane16/mnist-digit-recognizer-cnn-keras-99.66
Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard.
cnn confusion-matrix deep-learning keras matplotlib mnist-dataset neural-networks
Last synced: 27 Oct 2024
https://github.com/kuixu/pytorch_online_plotter
Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
confusion-matrix lossless mean-average-precision online plot pytorch real-time
Last synced: 30 Oct 2024
https://github.com/fcakyon/confplot
Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
confusion-matrix confusionmatrix linux macos matlab matplotlib package pip plot pypi python seaborn windows
Last synced: 09 Nov 2024
https://github.com/m-clark/confusionmatrix
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
balanced-accuracy confusion-matrix dice-coefficient f1-score fallout false-discovery-rate false-negative-rate false-omission-rate false-positive-rate kappa negative-predictive-value peirce positive-predictive-value precision-recall rand sensitivity specificity tidy true-negative-rate true-positive-rate
Last synced: 29 Nov 2024
https://github.com/oleksandr-g-rock/how_to_create_confusion_matrix
How to create a confusion matrix with the test result in your training model & How to visualize the history of network learning: accuracy, loss in graphs.
accuracy confusion-matrix graphics loss-functions matplotlib matplotlib-tutorial vsualization
Last synced: 18 Nov 2024
https://github.com/labrijisaad/twitter-sentiment-analysis-with-python
We aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.
accuracy-score bernoulli-naive-bayes confusion-matrix f1-score lemmatization logistic-regression machine-learning nlp roc-auc-curve sentiment-analysis sentiment140-dataset stemming support-vector-machine tokenization twitter-sentiment-analysis
Last synced: 06 Nov 2024
https://github.com/kmedian/korr
collection of utility functions for correlation analysis
binary-correlation confusion-matrix correlation correlation-analysis correlation-matrix correlation-pairs eda kendall kendall-tau matthews p-value pearson pearson-correlation pypi python rank-correlation sample-correlation spearman
Last synced: 15 Nov 2024
https://github.com/hyeonsangjeon/colab-tensorflow-tpu-example
colab-tensorflow-tpu-example
bert colab colab-notebook confusion-matrix histogram kobert nlp resolver-library sagemaker sentence sentence-embeddings sentence-transformers sentiment tpu transformers
Last synced: 17 Nov 2024
https://github.com/imharshag/fake-news-detection-using-ml
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
classification-algorithm confusion-matrix css decision-trees django html logistic-regression machine-learning randomforest regression-algorithms supervised-learning
Last synced: 17 Nov 2024
https://github.com/eonu/daze
Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.
accuracy classification confusion-matrix confusion-matrix-heatmap evaluation evaluation-metrics f1-score measures multi-class plot precision recall scikit-learn
Last synced: 10 Oct 2024
https://github.com/bhavaniprasad73/Artificial-Neural-Network
Artificial Neural Network - Wisconsin Breast Cancer Detection
artificial-intelligence artificial-neural-networks backpropagation binary-classification breast-cancer-prediction breast-cancer-wisconsin breastcancer-classification classification-algorithm confusion-matrix data-science datamining forward-propagation machine-learning neural-networks prediction scikit-learn scikitlearn-machine-learning supervised-learning
Last synced: 20 Nov 2024
https://github.com/krisharul26/defect-detection-in-air-pressure-system-aps-of-a-truck-using-ml
The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.
confusion-matrix f1-score gridsearchcv hyperparameter-optimization knn-classification roc sampling-methods svm-classifier
Last synced: 09 Nov 2024
https://github.com/bsm/mlmetrics
Common metrics for evaluation of machine learning models
classification confusion-matrix golang kappa logloss machine-learning matthews ml online-machine-learning r2 regression
Last synced: 06 Nov 2024
https://github.com/novasush/tensorboard-with-fashion-mnist
Training a convolutional neural network to classify images of the Fashion MNIST dataset and use TensorBoard to explore how it's confusion matrix evolves over time.
confusion-matrix confusionmatrix tensor tensorbo tensorflow tensorflow-experiments
Last synced: 21 Dec 2024
https://github.com/zackakil/precision-recall-playground
Interactive UI for understanding how a confusion matrix work in machine learning classification.
classification confusion-matrix machine-learning
Last synced: 13 Nov 2024
https://github.com/mdaiyub/heart-disease-prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
confusion-matrix data-science decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas python random-forest-classifier seaborn svc-svm
Last synced: 17 Nov 2024
https://github.com/mdaiyub/house-price-prediction
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
confusion-matrix decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas random-forest-classifier seaborn svc-svm
Last synced: 17 Nov 2024
https://github.com/avestura/scikit-heart-disease-classifier
💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more
confusion-matrix cost-complexity-pruning decision-tree decision-tree-classifier grid-search-cross-validation linear-kernel one-hot-encoding pca poly-kernel pruning rbf-kernel roc sigmoid-kernel svm svm-classifier
Last synced: 14 Nov 2024
https://github.com/nico-curti/scorer
Machine Learning Scorer Library
confusion-matrix machine-learning parallel score-calculator statistics
Last synced: 07 Nov 2024
https://github.com/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
Last synced: 11 Nov 2024
https://github.com/niteshchawla/ola-ensemblelearning
Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.
bagging-ensemble confusion-matrix encoding ensemble-learning feature-engineering featureimportance gridsearchcv hyperparameter-tuning machine-learning precision-recall random-forest roc-auc-curve scaling-methods smote-sampling
Last synced: 11 Nov 2024
https://github.com/santi-souza/stroke-eda-ml
Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning
confusion-matrix cross-validation crossvalidation flexdashboard ggplot2 gradient-boosting logistic-regression machine-learning plotly random-forest rmarkdown rstudio smote statistics stroke stroke-prediction
Last synced: 20 Dec 2024
https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
Last synced: 21 Dec 2024
https://github.com/q-m/mlc-eval
Classification evaluation interface
classification confusion-matrix js machine-learning webapp
Last synced: 09 Nov 2024
https://github.com/aarryasutar/hate_speech_detection
This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.
confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud
Last synced: 13 Nov 2024
https://github.com/sayak119/traffic_sign_recog
traffic sign recognition using CNN
cnn confusion-matrix traffic-sign-recognition
Last synced: 17 Nov 2024
https://github.com/sahil210695/machine-learning-with-scikit-learn
Machine Learning with scikit-learn
confusion-matrix data-science machine-learning python scikit-learn
Last synced: 20 Nov 2024
https://github.com/vidhi1290/emotion-classifier-with-deep-learning
Welcome to the Emotion Classifier project! This repository contains a comprehensive solution for emotion classification using Natural Language Processing (NLP) and deep learning techniques.😭🤣🙂
confusion-matrix emotion-classifier emotion-detection lstm lstm-neural-networks nlp nlp-machine-learning softmax visualization
Last synced: 08 Dec 2024
https://github.com/swamikannan/mnist-number-recognition
MNIST Numbers recognition using CNN
cnn confusion-matrix dataloader mnist-classification pytorch-implementation
Last synced: 14 Nov 2024
https://github.com/ambidextrous9/dog_breed_classification-stanforddogsdataset
Applying Transfer Learning on Stanford Dogs Dataset
cnn cnn-keras confusion-matrix mobilenetv2 prediction sgd sgd-optimizer stanford-dogs-dataset
Last synced: 12 Nov 2024
https://github.com/pranava007/ai_ml_decision_tree_classification
Decision Tree Classification
classification confusion-matrix python3 sklearn
Last synced: 18 Dec 2024
https://github.com/omogbolahan94/customer-churn-prediction
This project demonstrates how to build a logistic regression model and understanding the evaluation metrics to determine if the model is performing well or not
accuracy-metrics confusion-matrix cross-valids logistic-regression precision recall-metrics roc-curve
Last synced: 05 Nov 2024
https://github.com/priyanshii1511/predicting-customer-churn
Data Science mini project
confusion-matrix data-science machine-learning matplotlib numpy pandas plotly python seaborn sklearn
Last synced: 13 Nov 2024
https://github.com/harmanveer-2546/retinal-disease-classification
The number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment.
3d-graph classification confusion-matrix densenet dropout keras matplotlib maxpooling2d opencv os plotly retinal-diseases retinal-images seaborn sequential-models tensorflow test-train-split visualization
Last synced: 21 Dec 2024
https://github.com/vibhuti03/clicked-on-ad
Assignment on Logistic Regression
ads classification-report confusion-matrix jupyter-notebook logistic-regression matplotlib-pyplot pandas python3 seaborn sklearn
Last synced: 13 Nov 2024
https://github.com/maheera421/heart-disease-diagnosis-model
A machine learning project designed to predict the likelihood of heart disease based on a set of health indicators.
accuracy-score classification-report confusion-matrix estimators exploratory-data-analysis f1-score feature-importance hyperparameter-tuning precision-score random-forest-classifier recall-score roc-curve sklearn train-valid-test visualization
Last synced: 21 Dec 2024
https://github.com/fayzi-dev/scikit_learn
scikit_learn
confusion-matrix decision-tree drop gridsearchcv missing-data onehotencoder pipeline roccurve startify
Last synced: 24 Nov 2024
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 03 Dec 2024
https://github.com/justabhishek/mnist-digit-recognizer
Comparative-Models for MNIST Dataset
autoencoder-mnist cnn-model comparitive-study confusion-matrix machine-learning mnist-dataset python vgg vgg16
Last synced: 08 Nov 2024
https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
Last synced: 14 Dec 2024
https://github.com/ahmad-ali-rafique/logistic-regression-modeling
An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.
accuracy confusion-matrix data dataanalytics logistic-regression logistic-regression-classifier machine-learning-algorithms mlmodels model modelling regression-models
Last synced: 15 Nov 2024
https://github.com/estelacode/data_science
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
bagging boosting confusion-matrix decisiontreeclassifier feature-engineering feature-extraction feature-selection gaussian-naive-bayes gridsearchcv kneighborsregressor lda linear-regression logistic-regression machine-learning mlpregressor pca python roc-curve stackingregressor svm
Last synced: 26 Nov 2024
https://github.com/evernext10/prediction-of-numbers-from-0-to-9-machine-learning
Prediction of number from 0 to 9
confusion-matrix dataset machine-learning matrix prediction sklearn support-vector-machines
Last synced: 09 Nov 2024
https://github.com/zunainaliazam/medical-data-ner-with-bert
This project leverages BERT for Named Entity Recognition (NER) on a medical dataset. The notebook provides a step-by-step guide, from dataset preparation to fine-tuning and saving the trained model for medical NER tasks.
bert-base-cased bert-fine-tuning berttokenizer confusion-matrix fine-tuning jupyter-notebook medical-data named-entity-recognition pytorch
Last synced: 19 Dec 2024
https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
Last synced: 19 Dec 2024
https://github.com/surayasumona/heart_disease_prediction_analysis
Machine Learning with Python
confusion-matrix decision-tree-classifier machine-learning python roc-auc-curve
Last synced: 24 Nov 2024
https://github.com/surayasumona/telecom_customer_churn_prediction
Machine Learning with Python
confusion-matrix decision-tree-classifier grid-search-cross-validation machine-learning roc-auc-curve
Last synced: 24 Nov 2024
https://github.com/aja512/tweet-emotion-recognition
Created a Recurrent Neural Network (RNN) and used it to train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natural language processing domain.
confusion-matrix keras natural-language-processing python3 recurrent-neural-networks tensorflow2 tweets
Last synced: 07 Nov 2024
https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
Last synced: 22 Nov 2024
https://github.com/chinmoyt03/deep-learning-based-diabetes-risk-analysis
Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).
adam-optimizer classification-report cnn confusion-matrix convolutional-neural-networks deep-learning dropout keras-tensorflow long-short-term-memory minmaxscaler neural-network python relu roc-auc sigmoid softmax standard-error-of-the-mean transfer-learning
Last synced: 15 Nov 2024
https://github.com/cata77/spam-filter
Machine Learning Spam Filter from scratch
bag-of-words confusion-matrix laplace-smoothing machine-learning metrics naive-bayes-classifier pandas prediction python sklearn-library
Last synced: 25 Nov 2024
https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 25 Nov 2024
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 25 Nov 2024
https://github.com/phattharaphorn/lung-cancer-prediction
🫁 Predict the risk of developing lung cancer in Elementary Differential Equations and Linear Algebra.
confusion-matrix linear-algebra logistic-regression pearson-similarity python
Last synced: 22 Nov 2024
https://github.com/adityabhamare10/aiml-hackathon
Smart Credit Risk Solutions
chatgpt confusion-matrix css ejs flask git github html javascript joblib jupyter-notebook logistic-regression matplotlib numpy pandas pycharm python seaborn sklearn stremlit
Last synced: 19 Dec 2024
https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python
Last synced: 28 Nov 2024
https://github.com/mr-chang95/beer-project-with-r
This project analyzes to two datasets to help make better decisions for our client Budweiser. This is done as a Midterm Project for DS6306 at Southern Methodist University.
beer confusion-matrix knn-classification r statistical-analysis
Last synced: 28 Nov 2024
https://github.com/abdullah2020/hamoye_stagec
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
accuracy-score classification-model confusion-matrix extratreesclassifier f1-score lgbmclassifier logistic-regression machine-learning random-forest-classifier recall-precision xgboost
Last synced: 04 Dec 2024
https://github.com/blleshi/credit_risk_classification
Credit Risk Classification
classification-report confusion-matrix credit-risk credit-risk-classification data-testing data-training imbalanced-learning lending loans logistic-regression logistic-regression-model pandas randomoversampler resampled-data target-classification
Last synced: 11 Nov 2024
https://github.com/vijaykumarr1452/black_friday_sales_analysis
Black Friday Sales Analysis python machine learning project using pandas and scikit-learn for data preprocessing, model training, and performance evaluation.
confusion-matrix jupyter-notebook machine-learning pandas python random-forest-classifier sales-analysis scikit-learn
Last synced: 05 Dec 2024
https://github.com/pranava007/ai_ml_random_forest_classification
Random Forset classfication
classification confusion-matrix python3 sklearn
Last synced: 18 Dec 2024
https://github.com/fedecana00/bankruptcy-prediction
Accurately predicting companies' future failure with Python.
accuracy bankruptcy-prediction confusion-matrix data-science data-visualization feature-engineering feature-selection fine-tuning kaggle-dataset modelling pca-analysis plotting preprocessing python recall solution university xgboost-classifier
Last synced: 09 Nov 2024
https://github.com/marko19907/ml-assignments
Machine Learning assignments, Machine Learning (IE500618) course, fall 2022.
cifar100 confusion-matrix distributed-machine-learning ensamble-methods jyputer-notebook machine-learning mnist-dataset multilayer-perceptron-network mushroom-classification python resnet-50 transfer-learning
Last synced: 06 Nov 2024
https://github.com/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 09 Nov 2024
https://github.com/costopoulos/machine-learning-business-analytics
Machine Learning App in R for predicting whether a newly released movie will be a hit or a flop. Practically useful for streaming services and cinemas.
confusion-matrix decision-trees histogram histogram-matching kfold-cross-validation knn mcc r random-forest rstudio stratified-cross-validation
Last synced: 07 Nov 2024
