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Analytics Scoring Guide
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Welcome
Introduction
Analytics Scoring
Analytics Scoring Components
Analytics Scoring Stages
Binning Lookup
Introduction to Binning Lookup
Defining Binning Properties
Binning Output
Java Model Scoring
Introduction to Model Scoring
Defining Model Properties
Configuring Model Output
PMML Model Scoring
Introduction to PMML Model Scoring
Deploying a Model
Reconfigure PMML Model Scoring Settings
Output
Supported Model Formats
QMML
Miner Model
PMML
Association Rule
Clustering
Classification Tree
Regression Tree
Naive Bayes
Regression
Regression Classifier
Scorecard
Read from Miner Dataset
Introduction to the Read from Miner Dataset
Reading from a Miner Dataset
Fields Tab
Output
Write to Miner Dataset
Introduction to the Write to Miner Dataset
Writing to a Miner Dataset
Applying Metadata
Fields Tab
Output
Machine Learning Model Management
Accessing Machine Learning Model Management
Model Assessment
Introduction to Model Assessment
Model Assessment Operations
Model Assessment tab
K-Means Clustering Details
Logistic Regression Details
Linear Regression Details
Random Forest Regression Details
Random Forest Classification Details—Binomial
Random Forest Classification Details—Multinomial
Principal Component Analysis Details
Analytics Scoring Repository
Introduction to Spectrum Analytics Scoring Repository
View Models
View Model Details
Add a Model in a Web Browser Client
Add a Model via Spectrum Miner Spectrum Connector
Delete a Model
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