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All Factors with values greater than the baseline parameters (eigenvalues based on random data) were retained.
In parallel analysis, eigenvalues based on random data sets as well as eigenvalues based on the actual data are extracted.
It determines eigenvalues for random data matrices and establishes a cut-off (above 95%% based on random data) to retain relevant factors only, i.e. those that capture more common variance between the items than expected purely by chance.
The robustness of performance was assessed via bootstrapping [ 35], a validation technique based on random data resampling with replacement (here, 50 times); we used the very conservative out-of-bag estimator which calculates errors on unseen data.
When an eigenvalue generated from the exploratory factor analysis is higher than the random eigenvalue generated from the parallel analysis, it can be assumed that the eigenvalue represents a real factor, that accounts for more variance than a parallel component based on random data (see Hayton et al. 2004).
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The population growth model based on random sampling data may cause inaccurate population estimation and prediction.
We assessed the significance of PLV with 2 different surrogate methods: one is based on random shuffling of data and the other on random resampling of data.
Our method merely splits data, and it is not based on random fragmentation of data.
In other words, random tree classifier builds a decision tree based on random selection of data as well as by randomly choosing attributes in the data set.
For comparison with previous studies, we also computed test AUCs based on random partitioning of the data into 70% training and 30% test data.
SAM performs a moderated t-test on two user-selected groups of microarray datasets, and returns a set of discriminant genes ranked in descending order by d, the t-statistic, and calculates a false discovery rate (FDR) based on random permutations of the data labels (see Methods).
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based on clear data
based on random collisions
based on random permutations
based on random pairings
based on fragmentary data
based on random experiments
based on random walks
based on random words
based on false data
based on random techniques
based on genetic data
based on sample data
based on random matrix
based on sampling data
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