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ClassificationModel_​HotelCancellation_​44

Deployment

Data Preparation

Data Cleaning

Data Understanding


Missing Values


Feature Engineering


Outliers Treatment


Correlation Analysis

Decision Trees Model Evaluation

Train-Test Split


Missing Values


Outliers


Normalizer


Feature Selection

Random Trees Model Evaluation


Preprocessing


Feature Engineering


Missing Values


Outliers


Normalizer


Feature Selection


Feature Selection

Pie Chart
Parameter Optimization Loop Start
Pie Chart
Decision Tree Predictor
Company = NULL
String Replacer
Gini Index
Decision Tree Learner
Accuracy = 0.835Error = 0.165
Scorer
Month (seasonality)
Date&Time Part Extractor
Parameter Optimization Loop End
ADR (99% percentil cap)
Math Formula
Total Nights Stay
Math Formula
Month (seasonality)
Date&Time Part Extractor
Statistics
Total Nights Stay
Math Formula
Normalizer
Nacionality
Rule Engine
0 nights / 0 guests
Row Filter
ADR (99% percentil cap)
Math Formula
Histogram
Day of the Week
Date&Time Part Extractor
Reference Column Filter
Numeric Outliers (Apply)
Nacionality
Rule Engine
Normalizer (Apply)
Correlation Filter
Gain Ratio
Decision Tree Learner
Missing Value (Apply)
Parameter Optimization Loop End
Accuracy = 0.838Error = 0.162
Scorer
Linear Correlation
Parameter Optimization Loop Start
Random Forest Learner
Normalizer (Apply)
Decision Tree Predictor
Day of the Week
Date&Time Part Extractor
Random Forest Predictor
Missing Value (Apply)
Numeric Outliers (Apply)
Parameter Optimization Loop Start
Decision Tree Predictor
Decision Tree Predictor
Final Selection
Column Filter
Accuracy = 0.838Error = 0.162
Scorer
Champion Model
Decision Tree Learner
Excel Writer
CSV Reader
CSV Writer
Table View
Numerical Values
Statistics View
Excel Writer
Categorical Values
Statistics View
Bar Chart
Parameter Optimization Loop End
Table Partitioner
Accuracy = 0.83Error = 0.17
Scorer
Missing Value
Target to String
Number to String
Numeric Outliers
Parameter Optimization Loop Start
Excel Writer
Reference Column Filter
Excel Writer
Random Forest Learner
Joiner
Accuracy = 0.835Error = 0.165
Scorer
Random Forest Predictor
Attributes Statistcs
Table View
Parameter Optimization Loop End
Linear Correlation
CSV Reader
RowID
Data Type
String to Date&Time
Histogram
Data Type
String to Date&Time
Country
Missing Value
RowID
Children
Missing Value
Children
Missing Value
Cancelled/Not Cancelled
Row Filter
Pie Chart
Country
Missing Value
Agent = NULL
String Replacer

Nodes

Extensions

Links