What is cumulative gain curve in ML?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

What is cumulative gain curve in ML?

What is cumulative gain curve in ML?

This recipe explains what is cumulative gain curve in ML

0

Recipe Objective

What is cumulative gain curve in ML?

The cumulative gain curve evaluates the performance of the model by comparing the results of a random pick with the model. The graph shows the percentage of targets reached while considering a certain percentage of the population with the highest probability to be target according to the model.

How cumulative gain chart is made.

1.) tpr - True Positive Rate or Sensitivity tpr=TP/(TP+FN)

2.) sup - Support (Predictive Positive Rate) sup = (TP+FP)/N = (predicted pos)/total fraction of positively predicted examples

3.) recall 4.) Accuracy

Gain Chart

* True Positive Rate vs Predicted Positive Rate.

Relevant Projects

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

Solving Multiple Classification use cases Using H2O
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.