IBF Day 3 by Ceres Analytics
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Data
EDA
Linear Reg
Cluster
Logistic Reg
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Provided by Ceres Analytics, LLC, without warranty, express or implied
Intended for learning purposes only
Works best in Google Chrome browser
WELCOME
Tools for IBF's Predictive Analytics and Use Of Big Data Workshop
Data Source
Built-in
Upload CSV (comma-delimited)
Upload TXT,TSV (tab-delimited)
Column Headers names must be in row 1 (no quotes)
Any Dependent Variable must be in Column 1
5 MB limit
Choose Built-in Dataset
Quarterly Sales
Telecom
Wine
Challenger Launch
Cars
Upload a file
Browse...
Upload a file
Browse...
Please specify one:
Sequential Time Variable
Choose unique row identifier
Choose how to explore
Time series plot
Histogram (1-D)
2-D scatter plot
Contingency table
Choose variables (up to 8)
Choose Y (vertical axis or dependent variable)
Choose X (horizontal axis or independent variable)
Run!
Choose regression type
OLS
Stepwise (bidirectional)
All Possible Subsets
Choose Y (scalar dependent variable)
Choose Xs (horizontal axis or independent variables)
SLE (Signicance Level to Enter)
SLS (Signicance Level to Stay)
Choose Xs (independent variables, up to 8)
Max # models to show (of each 1-X, 2-X, etc.)
How many holdouts (ex post)
Run!
Choose variables (up to 8)
Run!
Evaluate stats for this range of clusters:
Minimum #
Maximum #
Evaluate!
Assign Cluster #s (based on how many)
Cut!
Choose regression type
Logistic
Stepwise logistic (bidirectional)
Choose Y (binary dependent variable)
Choose X (numeric explanatory variables)
SLE (Signicance Level to Enter)
SLS (Signicance Level to Stay)
Run!
Cutoff Probability (>= is Positive)
Apply this cutoff!