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TDOD_​PROJECT_​REGRESSION_​teste

Regression

Data Understanding and Visualization

Data Preprocessing

Feature Selection (Linear Correlation + RFE)

Training Model

Model Evaluation

Deployment

Data Preprocessing

Missing Value (Apply)
CSV Reader
Continuous numeric (Z-Score)
Normalizer
Feature Engeneering
Outlier Test
String to Number
Box Plot
Random Forest Learner (Regression)
Rule Engine
Ordinal numeric (Min Max)
Normalizer
Table Partitioner
Number to String
Numeric Variables
Statistics View
Feature Engeneering Test
Categorical Variables
Statistics View
Column Filter
Numeric Scorer
Gradient Boosted Trees Learner (Regression)
Random Forest Predictor (Regression)
Box Plot
Gradient Boosted Trees Predictor (Regression)
Normalizer (Apply)
Numeric Scorer
Ordinal features to number
Rule Engine
One to Many
Normalizer (Apply)
Joiner
Joiner
Column Appender
Column Filter
Column Filter
CSV Reader
Reference Column Filter
Column Filter
Filter Target Variable
Column Filter
Feature Selection Loop Start (1:1)
Reference Column Filter
Random Forest Predictor (Regression)
Math Formula
Ordinal features to number
Rule Engine
Ordinal, dummy variables
Column Filter
RF Plot
Scatter Plot
Continuous Variables
Column Filter
Regression Plot
Scatter Plot
Column Appender
GBT Plot
Scatter Plot
Column Filter
Outliers Treatment
Linear Correlation
Normalizer (Apply)
Normalizer (Apply)
Low Variance Filter
Math Formula
Missing Value (Apply)
Math Formula
Correlation Filter
Regression Residual Error SP
Scatter Plot
Math Formula
One to Many
GBT Residual Error SP
Scatter Plot
Regression Predictor
One to Many
RF Residual Error SP
Scatter Plot
Linear Regression Learner
Missing Value
Reference Column Filter
Remove ClyTile_RoofMatl
Column Filter
CSV Writer
Numeric Scorer
Regression Predictor
Linear Regression Learner
Feature Selection Filter
Numeric Scorer
Feature Selection Loop End

Nodes

Extensions

Links