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Bias Variance Analysis of Local Classifi

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Academic year: 2017

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Table 1 Characteristics of the 26 data sets used in the benchmark study: Number of observations,number of classes, dimensionality, number of numeric and number of categorical predictors
Fig. 1 Left: Boxplot of the error rates on the 26 data sets. Right: Consensus ranking of the classi-fication methods
Fig. 2 Left: Error rates, systematic and variance effects averaged over the 26 data sets

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