• Core Algorithms
• Fitness Functions
• Math & Boolean Functions

• Data Visualization & Analysis
• Data Loading & Manipulation
• Analyses & Computations
• Panels & Windows

• Regression
• Classification
• Logistic Regression
• Time Series Prediction
• Logic Synthesis

• Model Evolution & Selection
• Model Visualization & Analysis
• Ensemble Methods

• Model Deployment
• Ensemble Deployment
• Predictions & Forecasting
• Programming Languages

• GEP paper (pdf)
• GEP Book (2nd Edition)

Classification Accuracy

where t is the number of records correctly classified, and n is the total number of records.

During evolution, GeneXproTools updates continuously the classification accuracy of the evolving models and plots it in the Evolutionary Dynamics Chart in the Run Panel.

Measures of Fit for Regression

Measures of Fit for Classification

Measures of Fit for Logistic Regression

Measures of Fit for Time Series Prediction

Measures of Fit for Logic Synthesis

Classification Error

Sensitivity

Specificity

Positive Predictive Value

Negative Predictive Value

Recall

Precision

F1 Measure

Jaccard Similarity

Matthews Correlation Coefficient

Area Under the ROC Curve

Pearson Correlation Coefficient

R-square

Mean Squared Error

Root Mean Squared Error

Relative Absolute Error

Mean Absolute Error

Relative Squared Error

Root Relative Squared Error

Up/Down Accuracy

Up/Down Error

Getting Started with Regression

Getting Started with Classification

Getting Started with Logistic Regression

Getting Started with Time Series Prediction

Getting Started with Logic Synthesis

What's New in GeneXproTools 5.0?