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updated thresholds in EM test after cv::EM fixing

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This commit is contained in:
Maria Dimashova 2012-07-11 13:52:19 +00:00
parent 75e0eeab17
commit 0b4e96d89c
1 changed files with 3 additions and 3 deletions
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6
modules/ml/test/test_emknearestkmeans.cpp
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@ -654,8 +654,8 @@ protected:
double trainError = (double)(trainConfusionMat.at<int>(1,0) + trainConfusionMat.at<int>(0,1)) / trainSamplesCount; double trainError = (double)(trainConfusionMat.at<int>(1,0) + trainConfusionMat.at<int>(0,1)) / trainSamplesCount;
double testError = (double)(testConfusionMat.at<int>(1,0) + testConfusionMat.at<int>(0,1)) / (samples.rows - trainSamplesCount); double testError = (double)(testConfusionMat.at<int>(1,0) + testConfusionMat.at<int>(0,1)) / (samples.rows - trainSamplesCount);
const double maxTrainError = 0.16; const double maxTrainError = 0.23;
const double maxTestError = 0.19; const double maxTestError = 0.26;
int code = cvtest::TS::OK; int code = cvtest::TS::OK;
if(trainError > maxTrainError) if(trainError > maxTrainError)
@ -665,7 +665,7 @@ protected:
} }
if(testError > maxTestError) if(testError > maxTestError)
{ {
ts->printf(cvtest::TS::LOG, "Too large test classification error (calc = %f, valid=%f).\n", trainError, maxTrainError); ts->printf(cvtest::TS::LOG, "Too large test classification error (calc = %f, valid=%f).\n", testError, maxTestError);
code = cvtest::TS::FAIL_INVALID_TEST_DATA; code = cvtest::TS::FAIL_INVALID_TEST_DATA;
} }