We create a model using the gradient boosting algorithm to cut down on the noise and improve performance. This work was done during an informal project under Prof. Yaganti while studying at BITS.

Generating feature importances for outliers identified through Isolation Forests

Code for the suspended paper/project "Meta-Learning Feature Importance".

This repository contains a Decision Tree Regression model developed to predict house sale prices based on various predictor variables, aiming to provide accurate predictions and insights into regional differences in real estate values.

Interpretable Deep Classification of Categorical Data

Feature selection functions for python.

COVID-19 outcome prediction models based on machine learning algorithms. The unique feature is a custom cross-validation strategy based on the three clinical datasets of age- and gender-matched patients.

Investigating a neural network response to input parameters using sensitivity analysis techniques.

In this project, I build an ML model to predict the scores of beer reviews and extract the most important features.

Feature importance refers to a measure of how important each feature/variable is in a dataset to the target variable or the model performance. It can be used to understand the relationships between variables and can also be used for feature selection to optimize the performance of machine learning models.

Module for measuring feature importance for any clustering method.

Malicious URL detector built with deep exploration on feature engineering.

Hitting vs Pitching vs Fielding vs Baserunning (Feature Importance)

IN PROGRESS - after the paper "Shapley-Lorenz decompositions in eXplainable Artificial Intelligence" by Giudici and Raffinetti - 2020

Repository for "Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State" AICS 2022

Implementation of Dual Interpretable Model-agnostic Explanations for Rasa DIET classifiers

House-Price-Prediction-App

Bank Marketing Data Set Binary Classification in python

Software to compute Feature Relevance and Sensitivity of classification models.