ANTAVIRA Predictive Modeling Automation Platform

PREDICTIVE

MODELING

Platform

Beta version

CREATE FORECASTING MODELS online, fast and easy

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Concept

Solution that will change the industry

ANTAVIRA helps to build scorecards
faster and easier. It reduces the time
spent on manual work and result computation

ANTAVIRA is suitable for data-scientists
of any level. Every professional can find
useful functionality from the system

ANTAVIRA allows you to make
up to 100 scorecards
simultaneously for different targets using a
large number of predictors without
repeating the same actions

ANTAVIRA combines the tools used
at each step of scorecard building from
sampling to models staking. Each tool can be
used in conjunction with others, or separately

Benefits

Designed to become an undouptable necessity

SPEEDS UP scorecard building PROCESS BY 30 TIMES!

Antavira automates scorecard development process: from sample preparation to model stacking

Save time by automation

Reduces routine work by 80%

Antavira reduces manual work and results calculation without quality loss

No need to repeat set of actions to create a good model

Unloads computer from calculations by 100%

Antavira does not require the installation of special software and the configuration of high-power computer. You can work just using your smart phone

Build scorecards online anytime and anywhere!

Works on large samples of more than 20 GB!

Antavira is stable to big data workloads

Upload file with variables and wait until Antavira finishes calculation

Tools

Features and Functions

SAMPLE PREPARATION

Step №1

MODELING

Step №2

ENSEMBLER MODELING

Step №3

Each module can be used separately as well as in modeling chain

Assembler

Assembles sample [variables] with sample [targets] and makes samples [variables+targets]. Number of samples [variables+targets] is equal to number of targets
Splitter

Splits samples [variables+targets] into t raining and testing samples. Where are 3 methods to split: Percent ratio; Timeline; Cross-validation
Binning

Bins every variable in every training sample using AI algorithm to maximize prediction power and avoid overfitting

Correlation

Measures correlation V-Kramer and chooses most predicable variable in every training sample using AI algorithm
Modeling

Creates set of models snd picks best one as a final result for each sample using AI algorithm
Score Calculation

Calculates scores for chosen models for any sample provided or samles from modeling chain

Model Stacking

Chooses best ensembling target, creates setof meta-models basedon models scores and picks best oneas a final result by using our innovative methods and AI algorithm
Final Score Calculation

Calculates final scores of any chosen meta-models for any sample provided or samples from modeling chain

Price

We provide free access
to Beta version of Antavira

in return on your comments
after 15 days of use