From e00c76bdeac39743ce8214fbe22ecf602a08f903 Mon Sep 17 00:00:00 2001 From: Tanuj Saxena <128210429+tanuj437@users.noreply.github.com> Date: Mon, 15 Jul 2024 12:44:52 +0530 Subject: [PATCH] Update README.md --- .../images/README.md | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/Health Insurance Cross Sell Prediction/images/README.md b/Health Insurance Cross Sell Prediction/images/README.md index 81b30ca5e..d0fbb1dcd 100644 --- a/Health Insurance Cross Sell Prediction/images/README.md +++ b/Health Insurance Cross Sell Prediction/images/README.md @@ -4,34 +4,44 @@ This folder contains various visualizations that represent different aspects of ## Visualizations - **Correlation Matrix:** This matrix shows the correlation between different features in the dataset, providing insight into how variables are related to each other. +correlation - **Distribution of Response:** This chart displays the distribution of the target variable Response. It shows the frequency of positive and negative responses in the dataset. +distribution_response - **Distribution Based on Gender:** Description: This chart shows the distribution of the Gender variable, illustrating the proportion of male and female customers. +gender_response - **Gender Distribution:** Description: This visualization represents the count of responses from different genders, helping to understand the gender demographics of the dataset. +gender - **Distribution of Age:** Description: This chart displays the distribution of the Age variable, showing the age range and frequency of customers in the dataset. +dis_age - **Histograms of Selected Columns:** Description: These histograms show the distribution of values for selected columns such as Annual_Premium, Policy_Sales_Channel, and Vintage. They provide insight into the data distribution for these features. +histogram - **F1 Score Comparison:** Description: This bar chart compares the F1 scores of different models used in the analysis. The F1 score is a measure of a model's accuracy, balancing precision and recall. +f1_cmp - **Recall Comparison:** Description: This bar chart compares the recall scores of different models used in the analysis. Recall measures the ability of a model to identify all relevant instances in the dataset. +recall_cmp - **Precision Comparison:** Description: This bar chart compares the precision scores of different models used in the analysis. Precision measures the accuracy of the positive predictions made by the model. +precision_cmp - **Accuracy Comparison:** Description: This bar chart compares the accuracy scores of different models used in the analysis. Accuracy measures the overall correctness of the model's predictions. +model_cmp ### Usage -These visualizations provide a comprehensive view of the dataset's characteristics and the performance of various models used for sentiment analysis. They can be used to gain insights into customer demographics, feature distributions, and model effectiveness, aiding in identifying areas for improvement in the analysis. \ No newline at end of file +These visualizations provide a comprehensive view of the dataset's characteristics and the performance of various models used for sentiment analysis. They can be used to gain insights into customer demographics, feature distributions, and model effectiveness, aiding in identifying areas for improvement in the analysis.