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# Submit Predictions - PowerPoint PPT Presentation

Goal. Predict whom survived the Titanic Disaster. Hypotheses. Woman and Children First. Get Data. Read dataset into Excel, R, etc. Data Management. Some Age Missing Data, Analyze Gender Only. Statistics & Analysis. 74% Women, 19% Men . Submit Predictions. 320 / 418 = 76.5%.

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## PowerPoint Slideshow about ' Submit Predictions' - dieter

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Presentation Transcript

Predict whom survived the Titanic Disaster

Hypotheses

Woman and Children First

Get Data

Read dataset into Excel, R, etc

Data Management

Some Age Missing Data, Analyze Gender Only

Statistics &

Analysis

74% Women, 19% Men

Submit Predictions

320 / 418 = 76.5%

All

N = 891

Data

N = 714

Missing

N = 177

• Dependent variable, (Y)

• Continuous

• Categorical

• Independent variables, (X’s)

• Continuous

• Categorical

The Decision Tree looks for split on sample at the node that can lead to the most differentiation on Y

• maximize data likelihood (minimize deviance).

Correlation, Association of Age with other Variables?

Predict whom survived the Titanic Disaster

Hypotheses

Woman and Children First

Get Data

Read dataset into Excel, R, etc

Data Management

Some Age Missing Data, Analyze Gender Only

Statistics &

Analysis

74% Women, 19% Men

Submit Predictions

320 / 418 = 76.5%

• Tree grows based on optimizing only the split from the current node rather then optimizing the entire tree

• Tree stops when further split becomes ineffective

Predict whom survived the Titanic Disaster

Hypotheses

Woman and Children First

Get Data

Read dataset into Excel, R, etc

Data Management

Some Age Missing Data, Analyze Gender Only

Statistics &

Analysis

Submit Predictions

Predict whom survived the Titanic Disaster

Hypotheses

Woman and Children First

Get Data

Read dataset into Excel, R, etc

Data Management

Age + Gender

Statistics &

Analysis

Submit Predictions

• Popular Implementations

• CART Classification And Regression Tree

• CHAID CHi-squared Automatic Interaction Detector

• CHAID allows multiple branch split - a wider tree

• CART uses binary split