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SVM model fails to load!

Hello, I trained an SVM model and save it in xml file, everythink look good. but when I load the model I print the getvar vaule its equal to 0? The model file looks fine to me?

 <?xml version="1.0"?>
<opencv_storage>
<opencv_ml_svm>
  <format>3</format>
  <svmType>C_SVC</svmType>
  <kernel>
    <type>LINEAR</type></kernel>
  <C>1.0000000000000001e-01</C>
  <term_criteria><epsilon>1.1920928955078125e-07</epsilon>
    <iterations>1000</iterations></term_criteria>
  <var_count>4096</var_count>
  <class_count>2</class_count>
  <class_labels type_id="opencv-matrix">
    <rows>2</rows>
    <cols>1</cols>
    <dt>i</dt>
    <data>
      1 2</data></class_labels>
  <sv_total>1</sv_total>
  <support_vectors>
    <_>
      -6.66133815e-15 -4.88498131e-15 -3.33066907e-15 -3.33066907e-15 0.

This is a part of the train code :

Ptr<ml::SVM> Model = ml::SVM::create();
Ptr<ml::TrainData> TrainData = ml::TrainData::create(Data, ml::ROW_SAMPLE, Label);
Model->setType(SVM);
Model->setKernel(Kernel);
Model->trainAuto(TrainData,5);
Model->save((*path));

Test part in other project :

Ptr<ml::SVM> classifier = ml::SVM::create();
classifier->load(*modelPath);
Mat features = (*featuresSptr)[i];
features.convertTo(features, CV_32F);
float label = classifier->predict(features);

error :

OpenCV Error: Assertion failed (samples.cols == var_count && samples.type() == CV_32F) in predict