confusion-matrix

There are 4 repositories under confusion-matrix topic.

pycm
sepandhaghighi / pycm
Multi-class confusion matrix library in Python
machine-learning confusion-matrix matrix statistics statistical-analysis accuracy ml ai mathematics data-mining data-analysis classification data-science data neural-network multiclass-classification deep-learning artificial-intelligence deeplearning evaluation
Language:Python 1429
wcipriano / pretty-print-confusion-matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
confusion-matrix machine-learning python neural-network machine-learning-algorithms machine-learning-library
Language:Python 511
apple / ml-hierarchical-confusion-matrix
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
confusion-matrix data-visualization machine-learning visual-analytics
Language:TypeScript 293
whitebox
squaredev-io / whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
machine-learning monitoring observability python explainability explainable-ai ml-monitoring mlflow mlops modelops accuracy accuracy-metrics accuracy-score confusion-matrix f1-score recall model-monitoring k8s kubernetes xai
Language:Python 181
cheind / tf-matplotlib
Seamlessly integrate matplotlib figures as tensorflow summaries.
tensorflow tensorboard matplotlib confusion-matrix blittable
Language:Python 119
deadskull7 / Pneumonia-Diagnosis-using-XRays-96-percent-Recall
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.
pneumonia-diagnosis inceptionv3 kaggle transfer-learning lungs f1-score confusion-matrix precision-recall xray healthcare
Language:Jupyter Notebook 100
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 95
kaanakan / object_detection_confusion_matrix
Python class for calculating confusion matrix for object detection task
confusion-matrix deep-learning object-detection object-detection-metrics
Language:Python 81
deadskull7 / One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
covid-19 machine-learning deep-neural-networks segmentation classification image-processing computer-vision convolutional-neural-networks unet-image-segmentation threshold dice iou image-enhancement cross-validation auc-roc-curve confusion-matrix cyclical-learning-rates recall healthcare coronavirus
Language:Jupyter Notebook 68
sharmaroshan / Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
machine-learning data-analysis anamoly-detection sampling query data-visualization classification deep-learning under-sampling over-sampling auprc confusion-matrix large-dataset finance data-analytics classification-report
Language:Jupyter Notebook 64
aditya9211 / SVHN-CNN
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
cnn grayscale-images svhn-classifier svhn convolutional-neural-networks computer-vision convolutional-neural-network house-numbers google-street confusion-matrix mnist dropout one-hot-encode tesnorflow machine-learning adam-optimizer mini-batch-gradient-descent tensorboard-visualizations
Language:Jupyter Notebook 62
snatch59 / cnn-svm-classifier
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
support-vector-machine confusion-matrix classify-images quadratic-discriminant-analysis linear-discriminant-analysis t-sne random-forest extra-trees-classifier k-nearest-neighbors multi-layer-perceptron tensorflow
Language:Python 62
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
Language:Python 58
alyakhtar / AQI-Delhi
Predicting air pollution level in a specific city
delhi air-quality neural-network keras tensorflow mlp naive-bayes-classifier svm-classifier random-forest decision-trees aqi confusion-matrix
Language:Python 35
arvkevi / disarray
Confusion matrix metrics directly from your pandas DataFrame
pandas machine-learning confusion-matrix data-science data-analysis dataframe performance-metrics
Language:Python 31
suhagba / Final-year-project-deep-learning-models
Deep learning for freehand sketch object recognition
keras keras-neural-networks sketch-recognition deep-learning computer-vision sketch-objects freehand-sketch deep-convolutional-networks condor-jobs convolutional-neural-networks vision international-conference tensorflow theano django confusion-matrix web-application machine-learning
Language:Jupyter Notebook 26
the-mrinal / ML-Notebook
Karma of Humans is AI
numpy-arrays matploblib linear-regression logistic-regression logisticregression confusion-matrix decision-tree-algorithm feature-scaling gradient-descent naive-bayes-classifier knn-classifier text-classification svm-classifier pca-analysis notebook used-cars gridsearchcv
Language:Jupyter Notebook 26
wangjksjtu / rl-perturbed-reward
Reinforcement Learning with Perturbed Reward, AAAI 2020
aaai2020 atari-games confusion-matrix noisy-labels openai-gym reinforcement-learning
Language:Python 26
Altimis / Confusion-matrix-for-Mask-R-CNN
Confusion matrix for Mask R-CNN (Matterport implementation)
mask-rcnn object-detection deep-learning plotting confusion-matrix matterport maskrcnn
Language:Jupyter Notebook 22
Machine-Learning-Toolbox
JingweiToo / Machine-Learning-Toolbox
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
classification cross-validation confusion-matrix data-science machine-learning-algorithms k-nearest-neighbor support-vector-machine leave-one-out-cross-validation random-forest linear-discriminant-analysis ensemble-classifier gaussian-mixture-models naive-bayes decision-tree holdout
Language:MATLAB 22
oneoffcoder / py-pair
Pairwise association measures of statistical variable types
association correlation symmetric asymmetric causation contingency-table confusion-matrix concordance ranking biserial apache-spark binary-variable categorical-variable nominal-variable ordinal-variable continuous-variable interval-variable ratio-variable
Language:Python 22
indrapaul824 / Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
classification-model framingham logistic-regression decision-trees knn-classification random-forest gradient-boosting-classifier hyperparameter-tuning ensemble-classifier resampling minmaxscalar accuracy-score confusion-matrix univariate-analysis bivariate-analysis feature-engineering supervised-learning python3 jupyter-notebooks heart-disease
Language:Jupyter Notebook 17
kuixu / pytorch_online_plotter
Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
online real-time plot lossless confusion-matrix mean-average-precision pytorch
Language:Python 17
aquatiko / sentiment-analysis-TfIdf-vectorizer-method
Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.
sentiment-analysis tfidf naive-bayes-classifier movie-reviews sklearn-vectorizer wordnet confusion-matrix
Language:Jupyter Notebook 16
ML_evaluation_metrics
hollobit / ML_evaluation_metrics
Landscape of ML/DL performance evaluation metrics
ml evaluation metrics performance-analysis deep-learning deep-neural-networks segmentation classification prediction super-resolution detection deep-generative-model accuracy-metrics auc-roc-curve confusion-matrix evaluation-metrics statistical-metrics computer-vision-metrics regression-metrics
16
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 keras neural-networks deep-learning mnist-dataset matplotlib confusion-matrix
Language:Jupyter Notebook 14
simongeek / KerasVGGcifar10
Keras VGG implementation for CIFAR-10 classification Tutorial
keras vgg deep-learning neural-network confusion-matrix machine-learning convolutional-networks
Language:Python 14
sumanth-bmsce / Deep-Neural-Network-for-Clustering
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
autoencoders cancer-data clustering confusion-matrix deep-learning deep-neural-networks feature-extraction
Language:Python 14
mahesh147 / Logistic-Regression
A very basic implementation of Logistic Regression classifier in python.
logistic-regression sklearn confusion-matrix python3 machine-learning machine-learning-algorithms
Language:Python 12
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
koushikkumarl / capsuleNetwork_cancerclassification
Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.
capsule-network capsnets classification-algorithm image-classification image-recognition cancer-detection lung-cancer-detection colon-cancer histopathology-images size-optimization confusion-matrix heatmap-visualization cancer-research python-notebook
Language:Jupyter Notebook 11
m-clark / confusionMatrix
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
confusion-matrix sensitivity specificity positive-predictive-value negative-predictive-value precision-recall f1-score dice-coefficient true-positive-rate true-negative-rate false-positive-rate false-negative-rate balanced-accuracy false-discovery-rate false-omission-rate fallout kappa rand peirce tidy
Language:R 11
Areesha-Tahir / Fake-News-Detection-Using-Naive-Bayes
Fake news detection using Naïve Bayes in Python along with confusion matrix calculated using sklearn.
natural-language-processing python project code fake-news fake-news-detection confusion-matrix sklearn-library urdu-language urdu-nlp urdu-datasets
Language:Jupyter Notebook 10
fcakyon / confplot
Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
confusion-matrix plot matlab python seaborn matplotlib windows linux macos pypi pip package confusionmatrix
Language:Python 10
mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
network-intrusion-detection feature-extraction feature-selection feature-importance binary-classification multiclass-classification confusion-matrix roc-curve pearson-correlation-coefficient rfe l1-regularization l2-regularization fclassif select-percentile extrat-tree-classifier rfc
Language:Jupyter Notebook 10
NehalH / GutWise
Decision Tree based classification model for determining gut health.
confusion-matrix decision-trees
Language:Python 9

confusion-matrix

sepandhaghighi / pycm

wcipriano / pretty-print-confusion-matrix

apple / ml-hierarchical-confusion-matrix

squaredev-io / whitebox

cheind / tf-matplotlib

deadskull7 / Pneumonia-Diagnosis-using-XRays-96-percent-Recall

metriculous-ml / metriculous

kaanakan / object_detection_confusion_matrix

deadskull7 / One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification

sharmaroshan / Fraud-Detection-in-Online-Transactions

aditya9211 / SVHN-CNN

snatch59 / cnn-svm-classifier

PENGZhaoqing / kdd99-scikit

alyakhtar / AQI-Delhi

arvkevi / disarray

suhagba / Final-year-project-deep-learning-models

the-mrinal / ML-Notebook

wangjksjtu / rl-perturbed-reward

Altimis / Confusion-matrix-for-Mask-R-CNN

JingweiToo / Machine-Learning-Toolbox

oneoffcoder / py-pair

indrapaul824 / Coronary-Heart-Disease-Prediction

kuixu / pytorch_online_plotter

aquatiko / sentiment-analysis-TfIdf-vectorizer-method

hollobit / ML_evaluation_metrics

Chinmayrane16 / MNIST-Digit-Recognizer-CNN-Keras-99.66

simongeek / KerasVGGcifar10

sumanth-bmsce / Deep-Neural-Network-for-Clustering

mahesh147 / Logistic-Regression

stefmolin / ml-utils

koushikkumarl / capsuleNetwork_cancerclassification

m-clark / confusionMatrix

Areesha-Tahir / Fake-News-Detection-Using-Naive-Bayes

fcakyon / confplot

mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML

NehalH / GutWise