Forcaster Excel Feature Set

Forecaster For Excel Feature Set

Complete Excel Excel Training Course. Instant Buy/Download, 30 Day Money Back Guarantee

General

Regression, classification types of forecasting

Time-series forecasting

Exceptional ease of use

Constructive neural network algorithms

Informative graphs and detailed reports

Online help system

Free technical support

Multi-language interface

Sample financial, marketing, real estate and scientific problems included

Analyze Your Data

Number of inputs and records are limited only by Excel limitations

Automatic data analysis and pre-processing

Automatic categorical values encoding

Automatic numeric values scaling

Missing values handling for numeric values (removal and 4 substitution options)

Missing values handling for categorical values (removal and 3 substitution options)

Outliers handling (customizable outlier coefficient)

Manual min/max values specification to anticipate bigger values in data for forecasting

Automatic random and sequential dataset partition onto training and test sets

Detailed Data Analysis and Preprocessing Report

Create Neural Network

Fully automated neural network design - a special state-of-the-art constructive algorithm automatically creates and trains the most suitable neural network to solve your problem.

Neural networks for time-series forecasting

Unique "Next Target" mode: combination of regression and time-series forecasting

Automatic generation of versatile stopping condition to stop network training

Generalization loss control (10 preset levels)

Retain and restore best network

Manual network retrain

Retrain network to get better results For experienced users

Manual stopping conditions (target error level, error improvement, correct classification rate, number of iterations)

Real-time control on training parameters (MSE, MAE, CCR, # of iterations).

Training Error Graph (network error by iteration)

Training Error Table (network error and error improvement by iteration)

Cost/Loss matrix

Perform Performance Analysis and Forecasting

Actual vs Forecasted Graph

Actual vs Forecasted Scatter Plot

Input Importance Chart

Error deviation graph

Actual vs Forecasted Table with absolute and relative errors

Confusion matrix

Error distribution table

R-squared and correlation calculation for a network

Tolerance levels to quickly estimate overall forecasting quality

Single-point forecasting and bulk forecasting

Quick forecasting with already trained network

Enjoy User Interface Extras

two convenient methods of data selection: by range and by column

complete color customization for reports and graphs

neural network autosave

load/save neural network from/to Excel worksheet/workbook

You will receive information electronically immediately after ordering!

System Requirements: Windows 98/ME/2000/XP, Excel 2000/2002/2003, Internet Explorer 5+

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