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Prediction

Excel Reader
Use to fix missing value
Missing Value
Convert Container to string
Number to String
Histogram
Bar Chart
Cool time & # breaks & Transite time
Box Plot
Decision Tree Predictor
create 2 columns specifying the month and the day of the week
Date&Time Part Extractor
Scorer
Scorer
In the assingment:- use multiple trees which have different 'quality measure '-> to compare
Decision Tree Learner
Set missing values:(1) string to 'unknown'(2) number of most frequent value(3) type date&time remove rows that having missing value
Missing Value
change the feature selection:- change the column with correlation other way around
Logistic Regression Learner
train: 70%
Table Partitioner
Logistic Regression Predictor
remove columns that containmore than 30% missing value
Missing Value Column Filter
In the assingment:- use multiple trees which have different 'quality measure '-> to compare
Decision Tree Learner
restrict to rows with datain column Quality out
Row Filter
Decision Tree Predictor
Use solver type 1
Logistic Regression Learner
Logistic Regression Predictor
adding new (external) data to current data
Joiner
assess
Scorer
In the assingment:- use multiple trees which have different 'quality measure '-> to compare
Decision Tree Learner
Use solver type 2
Logistic Regression Learner
Logistic Regression Predictor
Random Forest Predictor
Mean & Stdev
Box Plot
Decision Tree Predictor
assess
Scorer
Random Forest Learner
check linear correlation between columns
Linear Correlation
Can be used to check wrong typo
Statistics View
Scorer
Tot time break
Box Plot
Joiner
compare all the models
Numeric Scorer
assess the model
Scorer
Scatter Plot
Scorer
assess
Scorer
remove outlier
Numeric Outliers
Delete column
Column Filter
Use solver type 2
Logistic Regression Learner
Remove duplicate
Duplicate Row Filter
Logistic Regression Predictor

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Extensions

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