diff --git a/CMakeLists.txt b/CMakeLists.txt
index 7f5eb49..7549021 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -8,7 +8,7 @@ if (INSTALL_Q3DMASC_PLUGIN)
 	project( Q3DMASC_PLUGIN )
 
 	AddPlugin( NAME ${PROJECT_NAME} )
-	set(Q3DMASC_PLUGIN_VERSION "0.1")
+	set(Q3DMASC_PLUGIN_VERSION "0.1+")
 
 	include( CMakePolicies NO_POLICY_SCOPE )
 
diff --git a/Train3DMASCDialog.ui b/Train3DMASCDialog.ui
index d32d265..c79d19b 100644
--- a/Train3DMASCDialog.ui
+++ b/Train3DMASCDialog.ui
@@ -22,6 +22,9 @@
      <layout class="QFormLayout" name="formLayout">
       <item row="0" column="0">
        <widget class="QLabel" name="label">
+        <property name="toolTip">
+         <string>&lt;html&gt;&lt;head/&gt;&lt;body&gt;&lt;p&gt;OpenCV parameter&lt;/p&gt;&lt;p&gt;The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met, and/or if the tree is pruned.&lt;/p&gt;&lt;p&gt;[default 25]&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</string>
+        </property>
         <property name="text">
          <string>max depth</string>
         </property>
@@ -42,6 +45,9 @@
       </item>
       <item row="1" column="0">
        <widget class="QLabel" name="label_5">
+        <property name="toolTip">
+         <string>&lt;html&gt;&lt;head/&gt;&lt;body&gt;&lt;p&gt;OpenCV parameter&lt;/p&gt;&lt;p&gt;The number of trees in the forest!&lt;/p&gt;&lt;p&gt;[default 100]&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</string>
+        </property>
         <property name="text">
          <string>max tree count</string>
         </property>
@@ -68,6 +74,9 @@
       </item>
       <item row="2" column="0">
        <widget class="QLabel" name="label_4">
+        <property name="toolTip">
+         <string>&lt;html&gt;&lt;head/&gt;&lt;body&gt;&lt;p&gt;OpenCV parameter&lt;/p&gt;&lt;p&gt;The size of the randomly selected subset of features at each tree node and that are used to find the best split(s). If you set it to 0 then the size will be set to the square root of the total number of features.&lt;/p&gt;&lt;p&gt;[default 0]&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</string>
+        </property>
         <property name="text">
          <string>active var count</string>
         </property>
@@ -82,6 +91,9 @@
       </item>
       <item row="3" column="0">
        <widget class="QLabel" name="label_2">
+        <property name="toolTip">
+         <string>&lt;html&gt;&lt;head/&gt;&lt;body&gt;&lt;p&gt;OpenCV parameter&lt;/p&gt;&lt;p&gt;If the number of samples in a node is less than this parameter then the node will not be split.&lt;/p&gt;&lt;p&gt;[default 10]&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</string>
+        </property>
         <property name="text">
          <string>min sample count</string>
         </property>
@@ -95,6 +107,9 @@
         <property name="minimum">
          <number>1</number>
         </property>
+        <property name="value">
+         <number>10</number>
+        </property>
        </widget>
       </item>
      </layout>
diff --git a/q3DMASC.cpp b/q3DMASC.cpp
index a877ecb..851c795 100644
--- a/q3DMASC.cpp
+++ b/q3DMASC.cpp
@@ -35,6 +35,7 @@
 #include <QApplication>
 #include <QFileDialog>
 #include <QMessageBox>
+#include <QSettings>
 
 q3DMASCPlugin::q3DMASCPlugin(QObject* parent/*=0*/)
 	: QObject(parent)
@@ -219,6 +220,24 @@ struct FeatureSelection
 	float importance = std::numeric_limits<float>::quiet_NaN();
 };
 
+void q3DMASCPlugin::saveTrainParameters(const masc::TrainParameters& params)
+{
+	QSettings settings("OSUR", "q3DMASC");
+	settings.setValue("TrainParameters/maxDepth", params.rt.maxDepth);
+	settings.setValue("TrainParameters/minSampleCount", params.rt.minSampleCount);
+	settings.setValue("TrainParameters/activeVarCount", params.rt.activeVarCount);
+	settings.setValue("TrainParameters/maxTreeCount", params.rt.maxTreeCount);
+}
+
+void q3DMASCPlugin::loadTrainParameters(masc::TrainParameters& params)
+{
+	QSettings settings("OSUR", "q3DMASC");
+	params.rt.maxDepth = settings.value("TrainParameters/maxDepth", 25).toInt();
+	params.rt.minSampleCount = settings.value("TrainParameters/minSampleCount", 10).toInt();
+	params.rt.activeVarCount = settings.value("TrainParameters/activeVarCount", 0).toInt();
+	params.rt.maxTreeCount = settings.value("TrainParameters/maxTreeCount", 100).toInt();
+}
+
 void q3DMASCPlugin::doTrainAction()
 {
 	//disclaimer accepted?
@@ -291,6 +310,7 @@ void q3DMASCPlugin::doTrainAction()
 	}
 
 	static masc::TrainParameters s_params;
+	loadTrainParameters(s_params); // load the saved parameters or the default values if any
 	masc::Feature::Set features;
 	std::vector<double> scales;
 	if (!masc::Tools:: LoadTrainingFile(inputFilename, features, scales, loadedClouds, s_params, &corePoints, m_app->getMainWindow()))
@@ -676,6 +696,7 @@ void q3DMASCPlugin::doTrainAction()
 		{
 			if (!trainDlg.exec())
 			{
+				saveTrainParameters(s_params);
 				//the dialog can be closed
 				generatedScalarFields.releaseSFs(s_keepAttributes);
 				generatedScalarFieldsTest.releaseSFs(s_keepAttributes);
diff --git a/q3DMASC.h b/q3DMASC.h
index 1bdb518..e7bd377 100644
--- a/q3DMASC.h
+++ b/q3DMASC.h
@@ -20,6 +20,8 @@
 //qCC
 #include <ccStdPluginInterface.h>
 
+#include "Parameters.h"
+
 //! 3DMASC plugin
 /** 3D Multi-cloud, multi-Attribute, multi-Scale, multi-Class classification
 **/
@@ -43,6 +45,8 @@ public:
 protected slots:
 
 	void doClassifyAction();
+	void saveTrainParameters(const masc::TrainParameters& params);
+	void loadTrainParameters(masc::TrainParameters& params);
 	void doTrainAction();
 
 protected: