25 results for “topic:confusionmatrix”
Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
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.
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.
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混淆矩阵的热力图绘制
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Language Detector Loads and cleans text data, trains a language classification model using TF-IDF and Logistic Regression, evaluates it, and enables interactive language prediction with saved model reuse.
A innovative way to visualize text misclassifications within a confusion matrix in Tableau.
Machine learning classification applied to wine recognition data.
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
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Learning python day 4
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.
Data Science Projects - beginner level.
Fake News Detection Using Python
Fraud Detection with Machine Learning
Machine Learning pipeline built with PyTorch and MONAI for the automated classification of intervertebral disc degeneration in 3D MRI scans, utilizing the clinical Pfirrmann grading system (Grades 1 to 5).
Predicting human activity based on smartphone sensors
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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.
Confusion matrix in tensorboard
This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.
Visual-analytical tools to evaluate and compare the outputs of large numbers of binary classifiers.
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