confusion-matrix

Multi-class confusion matrix library in Python

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Seamlessly integrate matplotlib figures as tensorflow summaries.

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.

Measure and visualize machine learning model performance without the usual boilerplate.

Python class for calculating confusion matrix for object detection task

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

✋🏼🛑 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

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Predicting air pollution level in a specific city

Confusion matrix metrics directly from your pandas DataFrame

Reinforcement Learning with Perturbed Reward, AAAI 2020

Deep learning for freehand sketch object recognition

Karma of Humans is AI

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

Confusion matrix for Mask R-CNN (Matterport implementation)