Last data update: 2014.03.03

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LBoost.fit (Package: LogicForest) : Example of a LBoost Model

The LBoost model for data with a binary response with error following the underlying logical relationship
● Data Source: CranContrib
● Keywords: datasets
● Alias: LBoost.fit
● 0 images

LF.testdata (Package: LogicForest) : Example of New Test Data for Prediction in Logic Forest and LBoost

LF.testdata is simulated case control data where the ratio of cases:controls is 1:1. The dataset contains 100 observations and 50 binary predictors. Columns 1,2,....,50 are the binary predictors. Column 51 is the true binary response and column 52 is a noisy binary response. Each predictor is simulated as an independent Bernoulli random variable with success probability 0.5. The response variable is simulated from the model
● Data Source: CranContrib
● Keywords: datasets
● Alias: LF.testdata
● 0 images

LF.data (Package: LogicForest) : Example Data for Logic Forest and LBoost

LF.data is simulated case control data where the ratio of cases:controls is 1:1. The dataset contains 200 observations and 50 binary predictors. Columns 1,2,....,50 are the binary predictors. Column 51 is the true binary response and column 52 is a noisy binary response. Each predictor is simulated as an independent Bernoulli random variable with success probability 0.5. The response variable is simulated from the model
● Data Source: CranContrib
● Keywords: datasets
● Alias: LF.data
● 0 images

logforest.fit (Package: LogicForest) : Example of a Logic Forest Model

The Logic Forest model for data with a binary response with error following the underlying logical relationship
● Data Source: CranContrib
● Keywords: datasets
● Alias: logforest.fit
● 0 images