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Clase 07a Linear Regression & Reg Tree Precio Casas

Linear Regression

Linear regression: predict house price.

- Partition data into training and test set
- Train a linear regression model
- Apply the trained model to the test set
- Handle missing values
- Evaluate the model performance with the Numeric Scorer node

URL: Guide to Intelligent Data Science https://www.datascienceguide.org/

Calculando correlación entre attributos (independientes) para remover multi-colinealidad
Procesando datos
Seleccionando atributos independientes y segmentando dataset (aprendizaje y pruebas)
Visualizando error residual
Predictor de precios - Regresión Lineal
Predictor de precios - Arbol de regresión - Optimización de parámetros
Predictor de precios - Árbol de regresión
Optimización Min split (child): 56 Min node: 9
Predictor de precios - XGBoost
Variance Inflation Factor (VIF)
Math Formula
Mapear Nominales aNumericos
Category to Number
manejando faltantes
Missing Value
Precio de casas
File Reader (deprecated)
Colinealidad sobre 0.45
Correlation Filter
Removiendo outliers
Numeric Outliers
visualize predictions
Scatter Plot (JavaScript) (legacy)
Normalizer
Simple Regression Tree Learner
Coef. de colinealidad de Spearman
Rank Correlation
Filter out the columnswith high collinearity
Column Filter
Table Partitioner
Numeric Scorer
Simple Regression Tree Learner
predict test set
XGBoost Predictor (Regression)
train model on full training set
XGBoost Tree Ensemble Learner (Regression) (deprecated)
Simple Regression Tree Predictor
Linear Regression Learner
Regression Predictor
Simple Regression Tree Predictor
71.1
Numeric Scorer
67.6%
Numeric Scorer
68.5%
Numeric Scorer
Residuos
Scatter Plot (JavaScript) (legacy)
Table Column to Variable
min split y min registros nodo
Parameter Optimization Loop Start
Distribución de residuos
Histogram (JavaScript) (legacy)
Parameter Optimization Loop End

Nodes

Extensions

Links