--- a/ml_visualization_ex.xml	Fri Sep 13 12:23:39 2019 -0400
+++ b/ml_visualization_ex.xml	Wed Oct 02 03:50:11 2019 -0400
@@ -35,8 +35,8 @@
         <conditional name="plotting_selection">
             <param name="plot_type" type="select" label="Select a plotting type">
                 <option value="learning_curve" selected="true">Learning curve</option>
-                <option value="pr_curve">2-class Precison Recall curve</option>
-                <option value="roc_curve">2-class Receiver Operating Characteristic (ROC) curve</option>
+                <option value="pr_curve">2-class / multpi-label Precison Recall curve</option>
+                <option value="roc_curve">2-class / multi-label Receiver Operating Characteristic (ROC) curve</option>
                 <option value="rfecv_gridscores">Number of features vs. Recursive Feature Elimination gridscores with corss-validation</option>
                 <option value="feature_importances">Feature Importances plot</option>
                 <option value="keras_plot_model">keras plot model - plot configuration of a neural network model</option>
@@ -47,14 +47,14 @@
                 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/>
             </when>
             <when value="pr_curve">
-                <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. Each column corresponds to one class."/>
-                <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. Each column corresponds to one class."/>
+                <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. For 2-class, single column contains both class labels (e.g. True and False). For multi-label, each column, hot-encoded, corresponds to one label."/>
+                <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. For 2-class, sinle column or the first column contains scores for the positive label. For multi-label, each column corresponds to one label."/>
                 <param name="pos_label" type="text" value="" optional="true" label="pos_label" help="The label of positive class. If not specified, it will be 1 by default."/>
                 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/>
             </when>
             <when value="roc_curve">
-                <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. Each column corresponds to one class."/>
-                <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. Each column corresponds to one class."/>
+                <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. For 2-class, single column contains both class labels (e.g. True and False). For multi-label, each column, hot-encoded, corresponds to one label."/>
+                <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. For 2-class, sinle column or the first column contains scores for the positive label. For multi-label, each column corresponds to one label."/>
                 <param name="pos_label" type="text" value="" optional="true" label="pos_label" help="The label of positive class. If not specified, it will be 1 by default."/>
                 <param name="drop_intermediate" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="true" label="drop_intermediate" help="Whether to drop some suboptimal thresholds which would not appear on a plotted ROC curve."/>
                 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/>