(a) Recovery rates across families. Rows represent true models/families (used to simulate data), and columns represent fitted models/families. (b) Recovery rates for single models, similar to -a-. Results are based on 256 simulated experiments, each with 20 participants.</p
<p>The data presented in each column is the probability of the participants' judgments. The recognit...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
A. HEAL results show a significantly lower false-positive rate except on the cancer dataset. B. UncA...
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
<p>The upper number in each entry of the matrix is the average number of actual recognised classes i...
Numbers and colours denote the probability that the data generated with model X (x-axis) are best fi...
Since each classifier distinguishes between the desired class and every “other” class, the confusion...
Features included in the model are: age group, sex, and laboratory blood test results of ten CBC par...
<p>The rows of this matrix indicate the groups of the subjects (ground truth), and the columns indic...
Rows represent the datasets in which the given model was best-fitting and each column within a row i...
<p>Confusion matrix of the CT models developed in this paper as applied to 2009 and 2010 data, respe...
This figure presents the confusion matrices computed on the whole test set for three probability thr...
<p> and represent the genuine and impostor classified samples respectively. The numbers in every ce...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
The diagonal cells are those representing correctly classified subjects (number of occurrences in ea...
<p>The data presented in each column is the probability of the participants' judgments. The recognit...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
A. HEAL results show a significantly lower false-positive rate except on the cancer dataset. B. UncA...
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
<p>The upper number in each entry of the matrix is the average number of actual recognised classes i...
Numbers and colours denote the probability that the data generated with model X (x-axis) are best fi...
Since each classifier distinguishes between the desired class and every “other” class, the confusion...
Features included in the model are: age group, sex, and laboratory blood test results of ten CBC par...
<p>The rows of this matrix indicate the groups of the subjects (ground truth), and the columns indic...
Rows represent the datasets in which the given model was best-fitting and each column within a row i...
<p>Confusion matrix of the CT models developed in this paper as applied to 2009 and 2010 data, respe...
This figure presents the confusion matrices computed on the whole test set for three probability thr...
<p> and represent the genuine and impostor classified samples respectively. The numbers in every ce...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
The diagonal cells are those representing correctly classified subjects (number of occurrences in ea...
<p>The data presented in each column is the probability of the participants' judgments. The recognit...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
A. HEAL results show a significantly lower false-positive rate except on the cancer dataset. B. UncA...