Exploratory
Exploratory
Exploratory
Exploratory
Introduction
Product Features
Data Import
Data Wrangling
Visualization
Analytics
Statistics
Machine Learning
Linear Regression
Logistic Regression
GLM
Multinomial Logistic Regression
K-means Clustering
Random Forest
XGBoost
Forecasting
Anomaly Detection
Survival Curve
Survival Model (Cox Regression)
Market Basket
Marketing Impact
Evaluate Prediction - Regression
Evaluate Prediction - Binary
Calculate ROC
Evaluate Prediction - Multiclass
Prediction
Prediction - Binary Classification
Prediction - Survival Model
Simulate Survival Curve
Extract Summary of Fit
Extract Parameter Estimates
Run ANOVA Test
Fix Imbalanced Data (SMOTE)
Text Analysis
Extend with R
Setup
Diagnostics
Keyboard shortcuts
Powered by GitBook

Extract Parameter Estimates

How to Access This Feature

From + (plus) Button

You can access it from 'Add' (Plus) button from model view. ​

How to Use?

  • Get Confidence Interval by (Optional) - The default is NULL. How to calculate confidence intervals for coefficients. "default" calculates confidence interval by parameters inside model, so this is faster. "profile" uses profiling, so this takes time but better result especially for small number of samples. If NULL, this doesn't return confidence interval. This can be

    • NULL

    • "default"

    • "profile"

  • Confidence Level (Optional) - The default is 0.95. Confidence interval level. The larger this parameter, it tries to get wider range so that the true value can be between the values. This is ignored if conf_int is NULL.

Previous
Extract Summary of Fit
Next
Run ANOVA Test
Last updated 3 months ago
Contents
How to Access This Feature
From + (plus) Button
How to Use?