confusionmatrix
There are 20 repositories under confusionmatrix topic.
fcakyon/confplot
Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
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.
firstelfin/confusion
混淆矩阵的热力图绘制
longenbach/Tableau-Interactive-Confusion-Matrix
A innovative way to visualize text misclassifications within a confusion matrix in Tableau.
maryamsoftdev/MachineLearning_ConfusionMatrix
Learning python day 4
Mishaa931/Truth-Guard
This repository contains code for evaluating different machine learning models for classifying fake news. The dataset used for this evaluation consists of labeled news articles as either "REAL" or "FAKE". Three popular classifiers, Support Vector Machine (SVM), Decision Tree, and Logistic Regression, are trained and evaluated on this dataset.
oordenesg/how_to_sort_the_confusion_matrix
A common question when you're learning data science: "Sort the confusion matrix using your own function". This is a simple way to do it by using optimization.
pierogio/ML_classification
Machine learning classification applied to wine recognition data.
Pradnya1208/Naive-Bayes
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
anishajain5/Data-Science
Data Science Projects - beginner level.
HirudikaAnupama/Email-Spam-Detection-Logistic-Regression
This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.
mr-francois/cmtb
Confusion matrix in tensorboard
Russolves/CNN-Computer-Vision-Model-Analysis
This model was designed around Pycoco's dataset, the CNN model constructed outputs training loss graphs and a confusion matrix for the network of interest
Athari22/Fake-News-Detection-Using-Python
Fake News Detection Using Python
cyela/StudyProject-Spring-2018
This Repository holds the information related to Masters Study project on Detecting Vandlism
ginamartinezl/Prediccion_Smartphone
Predicción de actividad humana de acuerdo a los sensores de un smartphone
johannesuhl/binary_classification
Visual-analytical tools to evaluate and compare the outputs of large numbers of binary classifiers.
sanjanahombal/Study-on-Sentiment-Analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.