Topic: confusion-matrix Goto Github
Some thing interesting about confusion-matrix
Some thing interesting about confusion-matrix
confusion-matrix,Google Street View House Number(SVHN) Dataset, and classifying them through CNN
User: aditya9211
Home Page: http://ufldl.stanford.edu/housenumbers/
confusion-matrix,Confusion matrix for Mask R-CNN (Matterport implementation)
User: altimis
confusion-matrix,Predicting air pollution level in a specific city
User: alyakhtar
confusion-matrix,Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
Organization: apple
Home Page: https://apple.github.io/ml-hierarchical-confusion-matrix/
confusion-matrix,Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.
User: aquatiko
confusion-matrix,Fake news detection using Naïve Bayes in Python along with confusion matrix calculated using sklearn.
User: areesha-tahir
confusion-matrix,Get performance metrics and graphs of a scorecard
User: arpitg91
confusion-matrix,Confusion matrix metrics directly from your pandas DataFrame
User: arvkevi
confusion-matrix,Seamlessly integrate matplotlib figures as tensorflow summaries.
User: cheind
confusion-matrix,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.
User: chinmayrane16
confusion-matrix,✋🏼🛑 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
User: deadskull7
confusion-matrix,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.
User: deadskull7
confusion-matrix,Telecommunication Company Churn Project
User: erenonal
confusion-matrix,In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
User: farrellwahyudi
confusion-matrix,Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.
User: fischlerben
confusion-matrix,Landscape of ML/DL performance evaluation metrics
User: hollobit
confusion-matrix,This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
User: indrapaul824
confusion-matrix,This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
User: jingweitoo
confusion-matrix,This toolbox contains 6 types of neural networks, which is simple and easy to implement.
User: jingweitoo
confusion-matrix,Python class for calculating confusion matrix for object detection task
User: kaanakan
confusion-matrix,collection of utility functions for correlation analysis
Organization: kmedian
confusion-matrix,Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.
User: koushikkumarl
confusion-matrix,Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
User: kuixu
confusion-matrix,I 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.
User: labrijisaad
confusion-matrix,Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
User: m-clark
Home Page: https://m-clark.github.io/confusionMatrix/
confusion-matrix,A very basic implementation of Logistic Regression classifier in python.
User: mahesh147
confusion-matrix,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.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1cymmyp2Bz-nYPKPnJNxtZdlYd7kdKhjd
confusion-matrix,Measure and visualize machine learning model performance without the usual boilerplate.
Organization: metriculous-ml
confusion-matrix,This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.
User: mohamedamine99
confusion-matrix,ML/CNN Evaluation Metrics Package
User: mr-talhailyas
confusion-matrix,Decision Tree based classification model for determining gut health.
User: nehalh
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.
User: oleksandr-g-rock
confusion-matrix,Pairwise association measures of statistical variable types
Organization: oneoffcoder
Home Page: https://py-pair.readthedocs.io/
confusion-matrix,Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
User: pengzhaoqing
confusion-matrix,Applying Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
User: romulogmlima
confusion-matrix,Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.
User: sahilsharma884
confusion-matrix,In this repository, the wavLM model is used for quality and poor quality data for speaker verification task, and the PyCM library is used for evaluation.
User: sarasadeghii
confusion-matrix,Multi-class confusion matrix library in Python
User: sepandhaghighi
Home Page: http://pycm.io
confusion-matrix,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
User: sharmaroshan
confusion-matrix,Keras VGG implementation for CIFAR-10 classification Tutorial
User: simongeek
confusion-matrix,Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
User: snatch59
confusion-matrix,[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Organization: squaredev-io
Home Page: https://squaredev.io/whitebox/
confusion-matrix,Machine learning utility functions and classes.
User: stefmolin
confusion-matrix,Deep learning for freehand sketch object recognition
User: suhagba
confusion-matrix,Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
User: sumanth-bmsce
confusion-matrix,Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
User: tejas-ta
Home Page: https://nlp-sms-spam-detection.wm.r.appspot.com
confusion-matrix,Karma of Humans is AI
User: the-mrinal
confusion-matrix,Reinforcement Learning with Perturbed Reward, AAAI 2020
User: wangjksjtu
Home Page: https://arxiv.org/abs/1810.01032
confusion-matrix,Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
User: wcipriano
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