| iInsurance drives cost-effective performance across the
entire range of insurance activities, from collections and
disbursement to claims and commission management and Customer
management::
Capabilities:
Model Types, Algorithms & Visualizers
Prediction & classification outcome models with basic
& advanced model options
Decision trees for classification & regression with
singletree or ensemble techniques using Block Model Averaging;
K-Fold cross validation, plus Gini & Entropy splitting
rules Linear & logistic regression implemented as
QR decomposition w/ Householder transformations
Neural Networks. Multi-layer perceptron; training methods
include Batch, Resilient Propagation, Quick Propagation,
Delta-Bar-Delta, Conjugate Gradient, and Variable Metric
Interactive neural network visualizer
Naive Bayes classifier
Customer segmentation models with K-Means Clustering
Collapsible tree viewer with integrated dendrogram
Assess models with gain charts, lift charts, ROC charts
and agreement matrices
Principal components analysis
Pipeline Architecture
Moves data in blocks through processing components
Tailorable size of blocks controls computing resources
Visual Workflow Environment
Create self-documenting visual programs by connecting
components
Deployment and Scoring
Graphical reports
Batch execution of any/all pre-processing and prediction
components
|