diff --git a/modules/bioinspired/src/retina_ocl.cpp b/modules/bioinspired/src/retina_ocl.cpp
index 41169561f..c294ebfeb 100644
--- a/modules/bioinspired/src/retina_ocl.cpp
+++ b/modules/bioinspired/src/retina_ocl.cpp
@@ -1040,9 +1040,6 @@ const oclMat &MagnoRetinaFilter::runFilter(const oclMat &OPL_ON, const oclMat &O
         x##_slices[_SLICE_INDEX_] = x(getROI(_SLICE_INDEX_));\
     }
 
-static float _LMStoACr1Cr2[] = {1.0,  1.0, 0.0,  1.0, -1.0, 0.0,  -0.5, -0.5, 1.0};
-static float _LMStoLab[] = {0.5774f, 0.5774f, 0.5774f, 0.4082f, 0.4082f, -0.8165f, 0.7071f, -0.7071f, 0.f};
-
 RetinaColor::RetinaColor(const unsigned int NBrows, const unsigned int NBcolumns, const int samplingMethod)
     : BasicRetinaFilter(NBrows, NBcolumns, 3),
       _RGBmosaic(NBrows * 3, NBcolumns, CV_32FC1),
diff --git a/modules/bioinspired/src/retina_ocl.hpp b/modules/bioinspired/src/retina_ocl.hpp
index 69a833cc4..90df0601c 100644
--- a/modules/bioinspired/src/retina_ocl.hpp
+++ b/modules/bioinspired/src/retina_ocl.hpp
@@ -160,14 +160,15 @@ public:
     };
 
 protected:
-    cv::ocl::oclMat _filterOutput;
-    cv::ocl::oclMat _localBuffer;
 
     int _NBrows;
     int _NBcols;
     unsigned int _halfNBrows;
     unsigned int _halfNBcolumns;
 
+    cv::ocl::oclMat _filterOutput;
+    cv::ocl::oclMat _localBuffer;
+
     std::valarray <float>_filteringCoeficientsTable;
     float _v0;
     float _maxInputValue;
diff --git a/modules/core/doc/opengl_interop.rst b/modules/core/doc/opengl_interop.rst
index 0f084ab8b..5febecc21 100644
--- a/modules/core/doc/opengl_interop.rst
+++ b/modules/core/doc/opengl_interop.rst
@@ -122,6 +122,8 @@ Decrements the reference counter and destroys the buffer object if needed.
 
 .. ocv:function:: void ogl::Buffer::release()
 
+The function will call `setAutoRelease(true)` .
+
 
 
 ogl::Buffer::setAutoRelease
@@ -323,6 +325,8 @@ Decrements the reference counter and destroys the texture object if needed.
 
 .. ocv:function:: void ogl::Texture2D::release()
 
+The function will call `setAutoRelease(true)` .
+
 
 
 ogl::Texture2D::setAutoRelease
diff --git a/modules/core/src/opengl.cpp b/modules/core/src/opengl.cpp
index 24098bbec..7cfc0ac71 100644
--- a/modules/core/src/opengl.cpp
+++ b/modules/core/src/opengl.cpp
@@ -484,7 +484,7 @@ cv::ogl::Buffer::Buffer(int arows, int acols, int atype, unsigned int abufId, bo
     (void) autoRelease;
     throw_no_ogl();
 #else
-    impl_ = new Impl(abufId, autoRelease);
+    impl_.reset(new Impl(abufId, autoRelease));
     rows_ = arows;
     cols_ = acols;
     type_ = atype;
@@ -500,7 +500,7 @@ cv::ogl::Buffer::Buffer(Size asize, int atype, unsigned int abufId, bool autoRel
     (void) autoRelease;
     throw_no_ogl();
 #else
-    impl_ = new Impl(abufId, autoRelease);
+    impl_.reset(new Impl(abufId, autoRelease));
     rows_ = asize.height;
     cols_ = asize.width;
     type_ = atype;
@@ -529,7 +529,7 @@ cv::ogl::Buffer::Buffer(InputArray arr, Target target, bool autoRelease) : rows_
             Mat mat = arr.getMat();
             CV_Assert( mat.isContinuous() );
             const GLsizeiptr asize = mat.rows * mat.cols * mat.elemSize();
-            impl_ = new Impl(asize, mat.data, target, autoRelease);
+            impl_.reset(new Impl(asize, mat.data, target, autoRelease));
             rows_ = mat.rows;
             cols_ = mat.cols;
             type_ = mat.type();
@@ -552,7 +552,7 @@ void cv::ogl::Buffer::create(int arows, int acols, int atype, Target target, boo
     if (rows_ != arows || cols_ != acols || type_ != atype)
     {
         const GLsizeiptr asize = arows * acols * CV_ELEM_SIZE(atype);
-        impl_ = new Impl(asize, 0, target, autoRelease);
+        impl_.reset(new Impl(asize, 0, target, autoRelease));
         rows_ = arows;
         cols_ = acols;
         type_ = atype;
@@ -563,7 +563,7 @@ void cv::ogl::Buffer::create(int arows, int acols, int atype, Target target, boo
 void cv::ogl::Buffer::release()
 {
 #ifdef HAVE_OPENGL
-    if (*impl_.refcount == 1)
+    if (impl_)
         impl_->setAutoRelease(true);
     impl_ = Impl::empty();
     rows_ = 0;
@@ -968,7 +968,7 @@ cv::ogl::Texture2D::Texture2D(int arows, int acols, Format aformat, unsigned int
     (void) autoRelease;
     throw_no_ogl();
 #else
-    impl_ = new Impl(atexId, autoRelease);
+    impl_.reset(new Impl(atexId, autoRelease));
     rows_ = arows;
     cols_ = acols;
     format_ = aformat;
@@ -984,7 +984,7 @@ cv::ogl::Texture2D::Texture2D(Size asize, Format aformat, unsigned int atexId, b
     (void) autoRelease;
     throw_no_ogl();
 #else
-    impl_ = new Impl(atexId, autoRelease);
+    impl_.reset(new Impl(atexId, autoRelease));
     rows_ = asize.height;
     cols_ = asize.width;
     format_ = aformat;
@@ -1024,7 +1024,7 @@ cv::ogl::Texture2D::Texture2D(InputArray arr, bool autoRelease) : rows_(0), cols
         {
             ogl::Buffer buf = arr.getOGlBuffer();
             buf.bind(ogl::Buffer::PIXEL_UNPACK_BUFFER);
-            impl_ = new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], 0, autoRelease);
+            impl_.reset(new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], 0, autoRelease));
             ogl::Buffer::unbind(ogl::Buffer::PIXEL_UNPACK_BUFFER);
             break;
         }
@@ -1037,7 +1037,7 @@ cv::ogl::Texture2D::Texture2D(InputArray arr, bool autoRelease) : rows_(0), cols
                 GpuMat dmat = arr.getGpuMat();
                 ogl::Buffer buf(dmat, ogl::Buffer::PIXEL_UNPACK_BUFFER);
                 buf.bind(ogl::Buffer::PIXEL_UNPACK_BUFFER);
-                impl_ = new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], 0, autoRelease);
+                impl_.reset(new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], 0, autoRelease));
                 ogl::Buffer::unbind(ogl::Buffer::PIXEL_UNPACK_BUFFER);
             #endif
 
@@ -1049,7 +1049,7 @@ cv::ogl::Texture2D::Texture2D(InputArray arr, bool autoRelease) : rows_(0), cols
             Mat mat = arr.getMat();
             CV_Assert( mat.isContinuous() );
             ogl::Buffer::unbind(ogl::Buffer::PIXEL_UNPACK_BUFFER);
-            impl_ = new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], mat.data, autoRelease);
+            impl_.reset(new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], mat.data, autoRelease));
             break;
         }
     }
@@ -1072,7 +1072,7 @@ void cv::ogl::Texture2D::create(int arows, int acols, Format aformat, bool autoR
     if (rows_ != arows || cols_ != acols || format_ != aformat)
     {
         ogl::Buffer::unbind(ogl::Buffer::PIXEL_UNPACK_BUFFER);
-        impl_ = new Impl(aformat, acols, arows, aformat, gl::FLOAT, 0, autoRelease);
+        impl_.reset(new Impl(aformat, acols, arows, aformat, gl::FLOAT, 0, autoRelease));
         rows_ = arows;
         cols_ = acols;
         format_ = aformat;
@@ -1083,7 +1083,7 @@ void cv::ogl::Texture2D::create(int arows, int acols, Format aformat, bool autoR
 void cv::ogl::Texture2D::release()
 {
 #ifdef HAVE_OPENGL
-    if (*impl_.refcount == 1)
+    if (impl_)
         impl_->setAutoRelease(true);
     impl_ = Impl::empty();
     rows_ = 0;
diff --git a/modules/cudacodec/src/video_reader.cpp b/modules/cudacodec/src/video_reader.cpp
index 642fdd237..ede7ef43e 100644
--- a/modules/cudacodec/src/video_reader.cpp
+++ b/modules/cudacodec/src/video_reader.cpp
@@ -58,12 +58,14 @@ namespace cv { namespace cuda { namespace device
     void NV12_to_RGB(const PtrStepb decodedFrame, PtrStepSz<uint> interopFrame, cudaStream_t stream = 0);
 }}}
 
+using namespace cv::cudacodec::detail;
+
 namespace
 {
     class VideoReaderImpl : public VideoReader
     {
     public:
-        explicit VideoReaderImpl(const Ptr<detail::VideoSource>& source);
+        explicit VideoReaderImpl(const Ptr<VideoSource>& source);
         ~VideoReaderImpl();
 
         bool nextFrame(OutputArray frame);
@@ -71,11 +73,11 @@ namespace
         FormatInfo format() const;
 
     private:
-        Ptr<detail::VideoSource> videoSource_;
+        Ptr<VideoSource> videoSource_;
 
-        Ptr<detail::FrameQueue> frameQueue_;
-        Ptr<detail::VideoDecoder> videoDecoder_;
-        Ptr<detail::VideoParser> videoParser_;
+        Ptr<FrameQueue> frameQueue_;
+        Ptr<VideoDecoder> videoDecoder_;
+        Ptr<VideoParser> videoParser_;
 
         CUvideoctxlock lock_;
 
@@ -87,7 +89,7 @@ namespace
         return videoSource_->format();
     }
 
-    VideoReaderImpl::VideoReaderImpl(const Ptr<detail::VideoSource>& source) :
+    VideoReaderImpl::VideoReaderImpl(const Ptr<VideoSource>& source) :
         videoSource_(source),
         lock_(0)
     {
@@ -99,9 +101,9 @@ namespace
         cuSafeCall( cuCtxGetCurrent(&ctx) );
         cuSafeCall( cuvidCtxLockCreate(&lock_, ctx) );
 
-        frameQueue_ = new detail::FrameQueue;
-        videoDecoder_ = new detail::VideoDecoder(videoSource_->format(), lock_);
-        videoParser_ = new detail::VideoParser(videoDecoder_, frameQueue_);
+        frameQueue_.reset(new FrameQueue);
+        videoDecoder_.reset(new VideoDecoder(videoSource_->format(), lock_));
+        videoParser_.reset(new VideoParser(videoDecoder_, frameQueue_));
 
         videoSource_->setVideoParser(videoParser_);
         videoSource_->start();
@@ -159,7 +161,7 @@ namespace
                     return false;
 
                 // Wait a bit
-                detail::Thread::sleep(1);
+                Thread::sleep(1);
             }
 
             bool isProgressive = displayInfo.progressive_frame != 0;
@@ -212,25 +214,25 @@ Ptr<VideoReader> cv::cudacodec::createVideoReader(const String& filename)
 {
     CV_Assert( !filename.empty() );
 
-    Ptr<detail::VideoSource> videoSource;
+    Ptr<VideoSource> videoSource;
 
     try
     {
-        videoSource = new detail::CuvidVideoSource(filename);
+        videoSource.reset(new CuvidVideoSource(filename));
     }
     catch (...)
     {
-        Ptr<RawVideoSource> source(new detail::FFmpegVideoSource(filename));
-        videoSource = new detail::RawVideoSourceWrapper(source);
+        Ptr<RawVideoSource> source(new FFmpegVideoSource(filename));
+        videoSource.reset(new RawVideoSourceWrapper(source));
     }
 
-    return new VideoReaderImpl(videoSource);
+    return makePtr<VideoReaderImpl>(videoSource);
 }
 
 Ptr<VideoReader> cv::cudacodec::createVideoReader(const Ptr<RawVideoSource>& source)
 {
-    Ptr<detail::VideoSource> videoSource(new detail::RawVideoSourceWrapper(source));
-    return new VideoReaderImpl(videoSource);
+    Ptr<VideoSource> videoSource(new RawVideoSourceWrapper(source));
+    return makePtr<VideoReaderImpl>(videoSource);
 }
 
 #endif // HAVE_NVCUVID
diff --git a/modules/cudacodec/src/video_source.cpp b/modules/cudacodec/src/video_source.cpp
index be2d79573..ce6b3415f 100644
--- a/modules/cudacodec/src/video_source.cpp
+++ b/modules/cudacodec/src/video_source.cpp
@@ -69,7 +69,7 @@ void cv::cudacodec::detail::RawVideoSourceWrapper::start()
 {
     stop_ = false;
     hasError_ = false;
-    thread_ = new Thread(readLoop, this);
+    thread_.reset(new Thread(readLoop, this));
 }
 
 void cv::cudacodec::detail::RawVideoSourceWrapper::stop()
diff --git a/modules/cudacodec/src/video_writer.cpp b/modules/cudacodec/src/video_writer.cpp
index c2092c837..78183fb9d 100644
--- a/modules/cudacodec/src/video_writer.cpp
+++ b/modules/cudacodec/src/video_writer.cpp
@@ -908,12 +908,12 @@ Ptr<VideoWriter> cv::cudacodec::createVideoWriter(const String& fileName, Size f
 
 Ptr<VideoWriter> cv::cudacodec::createVideoWriter(const Ptr<EncoderCallBack>& encoderCallback, Size frameSize, double fps, SurfaceFormat format)
 {
-    return new VideoWriterImpl(encoderCallback, frameSize, fps, format);
+    return makePtr<VideoWriterImpl>(encoderCallback, frameSize, fps, format);
 }
 
 Ptr<VideoWriter> cv::cudacodec::createVideoWriter(const Ptr<EncoderCallBack>& encoderCallback, Size frameSize, double fps, const EncoderParams& params, SurfaceFormat format)
 {
-    return new VideoWriterImpl(encoderCallback, frameSize, fps, params, format);
+    return makePtr<VideoWriterImpl>(encoderCallback, frameSize, fps, params, format);
 }
 
 #endif // !defined HAVE_CUDA || !defined WIN32
diff --git a/modules/objdetect/include/opencv2/objdetect/erfilter.hpp b/modules/objdetect/include/opencv2/objdetect/erfilter.hpp
index 8a1b580c3..275ed422a 100644
--- a/modules/objdetect/include/opencv2/objdetect/erfilter.hpp
+++ b/modules/objdetect/include/opencv2/objdetect/erfilter.hpp
@@ -172,8 +172,8 @@ public:
     \param  minProbability    The minimum probability difference between local maxima and local minima ERs
 */
 CV_EXPORTS Ptr<ERFilter> createERFilterNM1(const Ptr<ERFilter::Callback>& cb = Ptr<ERFilter::Callback>(),
-                                                  int thresholdDelta = 1, float minArea = 0.000025,
-                                                  float maxArea = 0.13, float minProbability = 0.2,
+                                                  int thresholdDelta = 1, float minArea = 0.00025,
+                                                  float maxArea = 0.13, float minProbability = 0.4,
                                                   bool nonMaxSuppression = true,
                                                   float minProbabilityDiff = 0.1);
 
@@ -191,7 +191,7 @@ CV_EXPORTS Ptr<ERFilter> createERFilterNM1(const Ptr<ERFilter::Callback>& cb = P
     \param  minProbability The minimum probability P(er|character) allowed for retreived ER's
 */
 CV_EXPORTS Ptr<ERFilter> createERFilterNM2(const Ptr<ERFilter::Callback>& cb = Ptr<ERFilter::Callback>(),
-                                                  float minProbability = 0.85);
+                                                  float minProbability = 0.3);
 
 }
 #endif // _OPENCV_ERFILTER_HPP_
diff --git a/modules/objdetect/src/erfilter.cpp b/modules/objdetect/src/erfilter.cpp
index b8e964f5d..76603afd3 100644
--- a/modules/objdetect/src/erfilter.cpp
+++ b/modules/objdetect/src/erfilter.cpp
@@ -631,9 +631,10 @@ void ERFilterNM::er_merge(ERStat *parent, ERStat *child)
         child->probability = classifier->eval(*child);
     }
 
-    if ( ((classifier!=NULL)?(child->probability >= minProbability):true) &&
+    if ( (((classifier!=NULL)?(child->probability >= minProbability):true)||(nonMaxSuppression)) &&
          ((child->area >= (minArea*region_mask.rows*region_mask.cols)) &&
-          (child->area <= (maxArea*region_mask.rows*region_mask.cols))) )
+          (child->area <= (maxArea*region_mask.rows*region_mask.cols)) &&
+          (child->rect.width > 2) && (child->rect.height > 2)) )
     {
 
         num_accepted_regions++;
@@ -699,18 +700,24 @@ ERStat* ERFilterNM::er_save( ERStat *er, ERStat *parent, ERStat *prev )
 
     regions->back().parent = parent;
     if (prev != NULL)
+    {
       prev->next = &(regions->back());
+    }
     else if (parent != NULL)
       parent->child = &(regions->back());
 
     ERStat *old_prev = NULL;
     ERStat *this_er  = &regions->back();
 
+    if (this_er->parent == NULL)
+    {
+       this_er->probability = 0;
+    }
+
     if (nonMaxSuppression)
     {
         if (this_er->parent == NULL)
         {
-            this_er->probability = 0; //TODO this makes sense in order to select at least one region in short tree's but is it really necessary?
             this_er->max_probability_ancestor = this_er;
             this_er->min_probability_ancestor = this_er;
         }
@@ -722,15 +729,22 @@ ERStat* ERFilterNM::er_save( ERStat *er, ERStat *parent, ERStat *prev )
 
             if ( (this_er->max_probability_ancestor->probability > minProbability) && (this_er->max_probability_ancestor->probability - this_er->min_probability_ancestor->probability > minProbabilityDiff))
             {
-
-                this_er->max_probability_ancestor->local_maxima = true;
-                //TODO check here if the last local_maxima can be also suppressed, is the following correct?
-                //if (this_er->min_probability_ancestor->local_maxima)
-                //  this_er->min_probability_ancestor->local_maxima = false;
-
-                this_er->max_probability_ancestor = this_er;
-                this_er->min_probability_ancestor = this_er;
+              this_er->max_probability_ancestor->local_maxima = true;
+              if ((this_er->max_probability_ancestor == this_er) && (this_er->parent->local_maxima))
+              {
+                this_er->parent->local_maxima = false;
+              }
             }
+            else if (this_er->probability < this_er->parent->probability)
+            {
+              this_er->min_probability_ancestor = this_er;
+            }
+            else if (this_er->probability > this_er->parent->probability)
+            {
+              this_er->max_probability_ancestor = this_er;
+            }
+
+
         }
     }
 
@@ -769,8 +783,7 @@ ERStat* ERFilterNM::er_tree_filter ( InputArray image, ERStat * stat, ERStat *pa
     findContours( region, contours, hierarchy, RETR_TREE, CHAIN_APPROX_NONE, Point(0, 0) );
     //TODO check epsilon parameter of approxPolyDP (set empirically) : we want more precission
     //     if the region is very small because otherwise we'll loose all the convexities
-    approxPolyDP( Mat(contours[0]), contour_poly, max(rect.width,rect.height)/25, true );
-
+    approxPolyDP( Mat(contours[0]), contour_poly, (float)min(rect.width,rect.height)/17, true );
 
     bool was_convex = false;
     int  num_inflexion_points = 0;
@@ -1120,7 +1133,6 @@ Ptr<ERFilter> createERFilterNM2(const Ptr<ERFilter::Callback>& cb, float minProb
 
     Ptr<ERFilterNM> filter = makePtr<ERFilterNM>();
 
-
     if (cb == NULL)
         filter->setCallback(makePtr<ERClassifierNM2>());
     else
@@ -1129,5 +1141,4 @@ Ptr<ERFilter> createERFilterNM2(const Ptr<ERFilter::Callback>& cb, float minProb
     filter->setMinProbability(minProbability);
     return (Ptr<ERFilter>)filter;
 }
-
 }
diff --git a/samples/cpp/trained_classifierNM1.xml b/samples/cpp/trained_classifierNM1.xml
index afce7951c..c395a67df 100644
--- a/samples/cpp/trained_classifierNM1.xml
+++ b/samples/cpp/trained_classifierNM1.xml
@@ -48,8 +48,8 @@
       <nodes>
         <_>
           <depth>0</depth>
-          <sample_count>6696</sample_count>
-          <value>-4.2738068875125497e-02</value>
+          <sample_count>1859</sample_count>
+          <value>-8.7333809708193622e-01</value>
           <norm_class_idx>0</norm_class_idx>
           <Tn>0</Tn>
           <complexity>0</complexity>
@@ -59,12 +59,12 @@
           <tree_error>0.</tree_error>
           <splits>
             <_><var>1</var>
-              <quality>6.1327493190765381e-01</quality>
-              <le>7.8049004077911377e-02</le></_></splits></_>
+              <quality>8.9537560939788818e-01</quality>
+              <le>8.5429996252059937e-02</le></_></splits></_>
         <_>
           <depth>1</depth>
-          <sample_count>1344</sample_count>
-          <value>1.4897232658416162e+00</value>
+          <sample_count>281</sample_count>
+          <value>6.7336438045685210e-01</value>
           <norm_class_idx>1</norm_class_idx>
           <Tn>0</Tn>
           <complexity>0</complexity>
@@ -74,8 +74,8 @@
           <tree_error>0.</tree_error></_>
         <_>
           <depth>1</depth>
-          <sample_count>5352</sample_count>
-          <value>-2.8797404326299503e-01</value>
+          <sample_count>1578</sample_count>
+          <value>-1.6797288877447023e+00</value>
           <norm_class_idx>0</norm_class_idx>
           <Tn>0</Tn>
           <complexity>0</complexity>
@@ -88,8 +88,8 @@
       <nodes>
         <_>
           <depth>0</depth>
-          <sample_count>6696</sample_count>
-          <value>4.1522341120979132e-14</value>
+          <sample_count>1859</sample_count>
+          <value>6.8833827526759232e-15</value>
           <norm_class_idx>1</norm_class_idx>
           <Tn>0</Tn>
           <complexity>0</complexity>
@@ -97,54 +97,14 @@
           <node_risk>0.</node_risk>
           <tree_risk>0.</tree_risk>
           <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>6.4094465970993042e-01</quality>
-              <le>1.9897949695587158e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>5301</sample_count>
-          <value>-3.6524083494067622e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1395</sample_count>
-          <value>1.1149576991343251e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>6696</sample_count>
-          <value>-2.2870594307278749e-14</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
           <splits>
             <_><var>2</var>
-              <quality>5.6980127096176147e-01</quality>
+              <quality>6.0157060623168945e-01</quality>
               <le>1.5000000000000000e+00</le></_></splits></_>
         <_>
           <depth>1</depth>
-          <sample_count>5523</sample_count>
-          <value>-1.7166415896295562e-01</value>
+          <sample_count>1728</sample_count>
+          <value>-2.3830233314576746e-01</value>
           <norm_class_idx>0</norm_class_idx>
           <Tn>0</Tn>
           <complexity>0</complexity>
@@ -154,8 +114,8 @@
           <tree_error>0.</tree_error></_>
         <_>
           <depth>1</depth>
-          <sample_count>1173</sample_count>
-          <value>1.1605005959787533e+00</value>
+          <sample_count>131</sample_count>
+          <value>1.3270520927417431e+00</value>
           <norm_class_idx>1</norm_class_idx>
           <Tn>0</Tn>
           <complexity>0</complexity>
@@ -168,583 +128,63 @@
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diff --git a/samples/cpp/trained_classifierNM2.xml b/samples/cpp/trained_classifierNM2.xml
index 4dc259f63..eae66f01a 100644
--- a/samples/cpp/trained_classifierNM2.xml
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