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Changeset 9094


Ignore:
Timestamp:
01/02/13 19:31:48 (11 years ago)
Author:
gkronber
Message:

#1999: formatting

File:
1 edited

Legend:

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  • trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/FeatureSelection/FeatureSelection.cs

    r9093 r9094  
    4242               ") is only slightly larger than the number of columns (" + numberOfFeatures +
    4343               ") and only a subset of the columns must be selected for the predictive model." + Environment.NewLine
    44                +
    45                "The target variable is calculated as a noisy linear combination of randomly selected features: y = w * S + n." +
    46                Environment.NewLine
    47                +
    48                "Where is the S is a N x d matrix containing the selected columns from N x k the matrix of all features X" +
    49                Environment.NewLine
    50                + "For each feature the probability that it is selected is " + selectionProbability + "%" +
    51                Environment.NewLine
    52                + "X(i,j) ~ N(0, 1) iid, w(i) ~ U(0, 10) iid, n ~ N(0, sigma(w*S) * SQRT(" + noiseRatio + "))" +
    53                Environment.NewLine
    54                + "The noise level is " + noiseRatio + " * sigma, thus an optimal model has R² = " +
    55                Math.Round(1 - noiseRatio, 2) + " (or equivalently: NMSE = " + noiseRatio + ")" + Environment.NewLine
    56                + "N = " + (trainingSamples + TestSamples) + " (" + trainingSamples + " training, " + TestSamples +
    57                " test)" + Environment.NewLine
     44               + "The target variable is calculated as a noisy linear combination of randomly selected features: y = w * S + n." + Environment.NewLine
     45               + "Where is the S is a N x d matrix containing the selected columns from N x k the matrix of all features X" + Environment.NewLine
     46               + "For each feature the probability that it is selected is " + selectionProbability + "%" + Environment.NewLine
     47               + "X(i,j) ~ N(0, 1) iid, w(i) ~ U(0, 10) iid, n ~ N(0, sigma(w*S) * SQRT(" + noiseRatio + "))" + Environment.NewLine
     48               + "The noise level is " + noiseRatio + " * sigma, thus an optimal model has R² = "
     49               + Math.Round(1 - noiseRatio, 2) + " (or equivalently: NMSE = " + noiseRatio + ")" + Environment.NewLine
     50               + "N = " + (trainingSamples + TestSamples) + " (" + trainingSamples + " training, " + TestSamples + " test)" + Environment.NewLine
    5851               + "k = " + numberOfFeatures;
    5952        ;
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