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r37980778c78--a0c8014673dd3a07e595b4fc167c20b0
Mean classification accuracies obtained by combining all data features together, after dimensionality reduction based on Principal Component Analysis (PCA Based combination),... -
Mean accuracies obtained by classifiers that provide inbuilt multiclass funct...
Lower and upper limits for the 95% bootstrap confidence intervals are also reported. 0.333 is the expected accuracy when no real predictive power is present. -
r37980778c78--3c4713566b3bfcec4a6efa4b26c89ccc
Mean accuracy rate and area under the receiver operating curve (AUC) for the eight classifiers on VBM grey matter. -
r37980778c78--bdfbc5959d709eb08f23e499af3ca203
Lower and upper limits for the 95% bootstrap confidence intervals are also reported. 0.333 is the expected accuracy when no real predictive power is present. -
r37980778c78--ec1cf69dd349308beb2c93238830afa0
Demographic and clinical characteristics of samples of both patient groups and of healthy controls. -
Evaluation of machine learning algorithms and structural features for optimal...
A relatively large number of studies have investigated the power of structural magnetic resonance imaging (sMRI) data to discriminate patients with schizophrenia from healthy...
