The rows in the overall figure correspond to CXCL1, MMP8, and S100A8, respectively. The first column denotes the results for ATB vs pooled normal samples, the second denotes ATB vs LTBI, and the last one denotes ATB vs non-TB. For each confusion matrix row labels and column labels indicate the correct and the predicted labels, respectively. (PNG)</p
Confusion matrix (error matrix): the entry in row k and column l is the number of test datapoints wh...
<p>Confusion matrix for CF-patients, classified according to their bacterial colonization.</p
<p>Row labels represent the true class and column labels represent the class predicted by the model....
<p>(a-b) These classification performances are achieved by [Ray et al., 07], (c-d) These classificat...
The top-left represents the TN, the top-right represents FP, the bottom-left is FN and the bottom-ri...
<p>Distribution of the test patients into false/true positives/negatives in a 10-fold CV test. Summ...
<p>Confusion matrix comparing pathologist's results for low-grade and high grade neoplasia and predi...
<p>Rows are true protein types, and columns are predicted protein types. Where there are two numbers...
A) Logistic Regression with MMP8 and B) Gradient Tree Boosting with CXCL1, CXCL2, TNF, and IL-10. Ro...
Features included in the model are: age group, sex, and laboratory blood test results of ten CBC par...
<p>The rows represent the true pollen types while the columns indicate how the images have been clas...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
The labels are as follows, NL: healthy, MCI: mild cognitive impairment, AD: Alzheimer’s disease. The...
Confusion matrices reports TP, FN on the first row and FP, TN on the second row. Sensitivity calcula...
<p>Confusion matrices showing the results of external cross-validation for random forests models of ...
Confusion matrix (error matrix): the entry in row k and column l is the number of test datapoints wh...
<p>Confusion matrix for CF-patients, classified according to their bacterial colonization.</p
<p>Row labels represent the true class and column labels represent the class predicted by the model....
<p>(a-b) These classification performances are achieved by [Ray et al., 07], (c-d) These classificat...
The top-left represents the TN, the top-right represents FP, the bottom-left is FN and the bottom-ri...
<p>Distribution of the test patients into false/true positives/negatives in a 10-fold CV test. Summ...
<p>Confusion matrix comparing pathologist's results for low-grade and high grade neoplasia and predi...
<p>Rows are true protein types, and columns are predicted protein types. Where there are two numbers...
A) Logistic Regression with MMP8 and B) Gradient Tree Boosting with CXCL1, CXCL2, TNF, and IL-10. Ro...
Features included in the model are: age group, sex, and laboratory blood test results of ten CBC par...
<p>The rows represent the true pollen types while the columns indicate how the images have been clas...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
The labels are as follows, NL: healthy, MCI: mild cognitive impairment, AD: Alzheimer’s disease. The...
Confusion matrices reports TP, FN on the first row and FP, TN on the second row. Sensitivity calcula...
<p>Confusion matrices showing the results of external cross-validation for random forests models of ...
Confusion matrix (error matrix): the entry in row k and column l is the number of test datapoints wh...
<p>Confusion matrix for CF-patients, classified according to their bacterial colonization.</p
<p>Row labels represent the true class and column labels represent the class predicted by the model....