111 results
- Go to itemThis node computes certain statistics between the a numeric column's values (r i ) and predicted (p i ) values. It computes R² =1…0
- Go to itemThis node computes certain statistics between the a numeric column's values (r i ) and predicted (p i ) values.0
- Go to itemClass implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules…0
- Go to itemDECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examp…0
- Go to itemClass for building and using a 0-R classifier. Predicts the mean (for a numeric class) or the mode (for a nominal class). (based …0
- Go to itemClass for building and using a 0-R classifier Predicts the mean (for a numeric class) or the mode (for a nominal class). (based o…0
- Go to itemClass for performing parameter selection by cross-validation for any classifier. For more information, see: R. Kohavi (1995). Wra…0
- Go to itemClass for performing parameter selection by cross-validation for any classifier. For more information, see: R Kohavi (1995).Wrapp…0
- Go to itemClass for boosting a 2-class classifier using the Real Adaboost method. For more information, see J Friedman, T.Hastie, R. Tibshi…0
- Go to itemThis node computes certain statistics between the a numeric column's values (r i ) and predicted (p i ) values. It computes R² =1…0
- Go to itemThis node detects and treats the outliers for each of the selected columns individually by means of interquartile range (IQR) . T…0
- Go to itemClass for constructing an unpruned decision tree based on the ID3 algorithm. Can only deal with nominal attributes. No missing va…0
- Go to itemImplementation of the voted perceptron algorithm by Freund and Schapire. Globally replaces all missing values, and transforms nom…0
- Go to itemClass for constructing an unpruned decision tree based on the ID3 algorithm Can only deal with nominal attributes.No missing valu…0
- Go to itemClass for building and using a Complement class Naive Bayes classifier. For more information see, Jason D. Rennie, Lawrence Shih,…0
- Go to itemClass for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…0
- Go to itemImplementation of the voted perceptron algorithm by Freund and Schapire Globally replaces all missing values, and transforms nomi…0
- Go to itemM5Base. Implements base routines for generating M5 Model trees and rules The original algorithm M5 was invented by R. Quinlan and…0
- Go to itemM5Base Implements base routines for generating M5 Model trees and rulesThe original algorithm M5 was invented by R. Quinlan and Y…0
- Go to itemImplements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…0