SHIFAI Machine Learning

SHIFAI is an AI-driven advisory platform that helps organizations identify and evaluate unclear or suspicious data with higher accuracy and speed

Key Feature

SHIFOR Machine Learning

1

Rule Mining

Predict future posibility fraud condition

2

Performance Analysis

Evaluate trained Model based on user feedback

3

Online Transaction

Spesific transaction prediction

4

Data Profilling

Advanced data for analyzing

5

Training Model

Configurable training model

6

Offline Prediction

Batch transaction prediction

Work Flow Icon

Work Flow

Shifor Machine Learning

01

Data Preprocessing

The user imports datasets into the system, and in return, receives analytical information about datasets

02

Data Analytics

Users are able to analyse their datasets. The three modules are, Feature selection, which helps to choose the most relevant features.

03

Data Training

The user configures how to handle outliers, missing values, duplicates, and selects a modeling algorithm. The service then builds the model and returns accuracy, precision, and recall

SHIFAI

Output and Performance
04

Data prediction

The user selects the data and model for prediction. The service returns the result, probability, and explanation. The user then makes the final classification decision, which is stored as feedback.

05

Performance Analysis

Model performance is evaluated using user-reviewed prediction data, with the service providing recall, precision, accuracy, and false-negative and false-positive rates.

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We offer comprehensive after-sales services, maintenance, and technical support to ensure the seamless operation of the applications or systems we build.