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opencv_performance return error well trained data with opencv_traincascade

I'm trying to detect objects and I created 241 samples with opencv_createsamples.exe -info D:\res\p\p.txt -vec D:\res\p\p.vec -w 50 -h 20 -num 241 it's output was successful and then did train process with opencv_traincascade.exe -data D:\Cascade -vec D:\res\p\p.vec -bg D:\res\bg\bg.txt -mode ALL -w 50 -h 20 -numPos 215 -numNeg 530 and also it finished well to. But when I try to test performance the trained data with opencv_performance.exe -data D:\Cascade\cascade-haar-20stages-215samples.xml -d D:\res\test\test.txt -w 50 -h 20, it is returning OpenCV Error: Unspecified error (size node is not a valid sequence.) in icvReadHaarClassifier, file C:\opencv\sources\modules\objdetec\src\haar.cpp, line 2072. I've looked the lines but I didn't understand anything. I'm using OpenCV-2.4.9 compiled with Visual Studio 2012 on Windows 7 64-bit. Now I'm creating old-style data set with opencv_haartraining.exe but it's still at 16th-stage at 0% since 7 hours. But I want to know why the new classifier is giving this error?

opencv_performance return error well trained data with opencv_traincascade

Edit: it has finished with 3 days but it didn't enough for recognition. Now I've changed positive samples size, which I added 5 pixels for each side of image because it's a rectangular object and I've created positive samples with it's borders (not any background) so normally I didn't find any object with that dataset. Now with creating new dataset with backrounds, I've faced with something I don't know, which is listing something in a table and it's on 82445th place and it's style is i.e.

    .
    .
    .
    +----+----+-+---------+---------+---------+---------+
    |82647|  1%|-|-13908.888672| 0.995349| 0.775472| 0.224161|
    +----+----+-+---------+---------+---------+---------+
    |82648|  1%|+|-13909.888672| 0.995349| 0.775472| 0.224161|
    +----+----+-+---------+---------+---------+---------+
    |82649|  2%|+|-13910.888672| 0.995349| 0.775472| 0.224161|
    +----+----+-+---------+---------+---------+---------+
    |82650|  0%|+|-13911.835938| 0.995349| 0.775472| 0.224161|
    +----+----+-+---------+---------+---------+---------+
    |82651|  0%|-|-13912.835938| 0.995349| 0.775472| 0.224161|
    +----+----+-+---------+---------+---------+---------+
    .
    .
    .

what is it mean?