Index: testing/regressionTests/results/orange/modules/fss1.py.txt
===================================================================
--- testing/regressionTests/results/orange/modules/fss1.py.txt	(revision 9300)
+++ testing/regressionTests/results/orange/modules/fss1.py.txt	(revision 9307)
@@ -1,9 +1,9 @@
 Attribute scores for best three attributes:
-0.752 physician-fee-freeze
-0.365 el-salvador-aid
-0.340 crime
+0.613 physician-fee-freeze
+0.255 el-salvador-aid
+0.228 synfuels-corporation-cutback
 
 Best 3 attributes:
 physician-fee-freeze
 el-salvador-aid
-crime
+synfuels-corporation-cutback
Index: testing/regressionTests/results/orange/modules/fss2.py.txt
===================================================================
--- testing/regressionTests/results/orange/modules/fss2.py.txt	(revision 9300)
+++ testing/regressionTests/results/orange/modules/fss2.py.txt	(revision 9307)
@@ -1,6 +1,6 @@
 Relief GainRt Attribute
-0.752  0.752  physician-fee-freeze
-0.365  0.444  el-salvador-aid
-0.340  0.414  crime
-0.297  0.382  synfuels-corporation-cutback
-0.244  0.345  adoption-of-the-budget-resolution
+0.613  0.752  physician-fee-freeze
+0.255  0.444  el-salvador-aid
+0.228  0.414  synfuels-corporation-cutback
+0.189  0.382  crime
+0.166  0.345  adoption-of-the-budget-resolution
Index: testing/regressionTests/results/orange/modules/fss3.py.txt
===================================================================
--- testing/regressionTests/results/orange/modules/fss3.py.txt	(revision 5824)
+++ testing/regressionTests/results/orange/modules/fss3.py.txt	(revision 9307)
@@ -1,3 +1,5 @@
+/home/marko/orangegit/trunk/testing/regressionTests/xtest1.py:11: DeprecationWarning: object.__new__() takes no parameters
+  def t__samefiles(name1, name2):
 Learner      CA
-Naive Bayes  0.901
-with FSS     0.940
+Naive Bayes  0.903
+with FSS     0.938
Index: testing/regressionTests/results/orange/modules/fss5.py.txt
===================================================================
--- testing/regressionTests/results/orange/modules/fss5.py.txt	(revision 9300)
+++ testing/regressionTests/results/orange/modules/fss5.py.txt	(revision 9307)
@@ -1,29 +1,23 @@
 Before feature subset selection:
-0.280 marital-status
-0.243 relationship
-0.110 education
-0.056 occupation
-0.052 education-num
-0.050 workclass
-0.029 sex
-0.024 age
+0.098 workclass
+0.056 marital-status
+0.049 relationship
 0.022 race
-0.018 hours-per-week
-0.016 capital-gain
-0.011 native-country
-0.010 capital-loss
--0.003 fnlwgt
+0.019 capital-gain
+0.012 education-num
+0.002 capital-loss
+0.001 hours-per-week
+-0.002 age
+-0.006 native-country
+-0.011 occupation
+-0.014 education
+-0.022 fnlwgt
+-0.025 sex
 
 After feature subset selection with margin 0.010:
-0.275 marital-status
-0.222 relationship
-0.123 education
-0.059 education-num
-0.059 workclass
-0.054 occupation
-0.040 sex
-0.022 age
-0.019 hours-per-week
-0.016 capital-gain
-0.015 race
-0.010 capital-loss
+0.107 workclass
+0.093 relationship
+0.065 marital-status
+0.021 capital-gain
+0.020 race
+0.018 education-num
Index: testing/regressionTests/results/orange/modules/fss6.py.txt
===================================================================
--- testing/regressionTests/results/orange/modules/fss6.py.txt	(revision 9300)
+++ testing/regressionTests/results/orange/modules/fss6.py.txt	(revision 9307)
@@ -1,29 +1,23 @@
 Before feature subset selection (14 attributes):
-0.280 marital-status
-0.243 relationship
-0.110 education
-0.056 occupation
-0.052 education-num
-0.050 workclass
-0.029 sex
-0.024 age
+0.098 workclass
+0.056 marital-status
+0.049 relationship
 0.022 race
-0.018 hours-per-week
-0.016 capital-gain
-0.011 native-country
-0.010 capital-loss
--0.003 fnlwgt
+0.019 capital-gain
+0.012 education-num
+0.002 capital-loss
+0.001 hours-per-week
+-0.002 age
+-0.006 native-country
+-0.011 occupation
+-0.014 education
+-0.022 fnlwgt
+-0.025 sex
 
-After feature subset selection with margin 0.010 (12 attributes):
-0.275 marital-status
-0.222 relationship
-0.123 education
-0.059 education-num
-0.059 workclass
-0.054 occupation
-0.040 sex
-0.022 age
-0.019 hours-per-week
-0.016 capital-gain
-0.015 race
-0.010 capital-loss
+After feature subset selection with margin 0.010 (6 attributes):
+0.107 workclass
+0.093 relationship
+0.065 marital-status
+0.021 capital-gain
+0.020 race
+0.018 education-num
Index: testing/regressionTests/results/orange/ofb/fss6.py.txt
===================================================================
--- testing/regressionTests/results/orange/ofb/fss6.py.txt	(revision 9300)
+++ testing/regressionTests/results/orange/ofb/fss6.py.txt	(revision 9307)
@@ -1,29 +1,23 @@
 Before feature subset selection (14 attributes):
-0.280 marital-status
-0.243 relationship
-0.110 education
-0.056 occupation
-0.052 education-num
-0.050 workclass
-0.029 sex
-0.024 age
+0.098 workclass
+0.056 marital-status
+0.049 relationship
 0.022 race
-0.018 hours-per-week
-0.016 capital-gain
-0.011 native-country
-0.010 capital-loss
--0.003 fnlwgt
+0.019 capital-gain
+0.012 education-num
+0.002 capital-loss
+0.001 hours-per-week
+-0.002 age
+-0.006 native-country
+-0.011 occupation
+-0.014 education
+-0.022 fnlwgt
+-0.025 sex
 
-After feature subset selection with margin 0.010 (12 attributes):
-0.275 marital-status
-0.222 relationship
-0.123 education
-0.059 education-num
-0.059 workclass
-0.054 occupation
-0.040 sex
-0.022 age
-0.019 hours-per-week
-0.016 capital-gain
-0.015 race
-0.010 capital-loss
+After feature subset selection with margin 0.010 (6 attributes):
+0.107 workclass
+0.093 relationship
+0.065 marital-status
+0.021 capital-gain
+0.020 race
+0.018 education-num
Index: testing/regressionTests/results/orange/reference/MeasureAttribute1a.py.txt
===================================================================
--- testing/regressionTests/results/orange/reference/MeasureAttribute1a.py.txt	(revision 5824)
+++ testing/regressionTests/results/orange/reference/MeasureAttribute1a.py.txt	(revision 9307)
@@ -1,44 +1,45 @@
-1.69598531723
-1.100: -0.000
-1.200: -0.001
-1.300: 0.054
-1.400: 0.131
-1.500: 0.303
-1.600: 0.449
-1.700: 0.665
-1.900: 0.665
-3.000: 0.652
-3.300: 0.624
-3.500: 0.602
-3.600: 0.580
-3.700: 0.577
-3.800: 0.578
-3.900: 0.572
-4.000: 0.563
-4.100: 0.548
-4.200: 0.540
-4.300: 0.536
-4.400: 0.535
-4.500: 0.486
-4.600: 0.486
-4.700: 0.481
-4.800: 0.427
-4.900: 0.358
-5.000: 0.342
-5.100: 0.256
-5.200: 0.220
-5.300: 0.213
-5.400: 0.188
-5.500: 0.178
-5.600: 0.130
-5.700: 0.090
-5.800: 0.071
-5.900: 0.063
-6.000: 0.054
-6.100: 0.053
-6.300: 0.033
-6.600: 0.023
-6.700: -0.000
-6.900: -0.000
+0.793992996216
+1.100: 0.005
+1.200: 0.015
+1.300: 0.027
+1.400: 0.052
+1.500: 0.122
+1.600: 0.218
+1.700: 0.326
+1.900: 0.328
+3.000: 0.321
+3.300: 0.308
+3.500: 0.298
+3.600: 0.288
+3.700: 0.288
+3.800: 0.288
+3.900: 0.285
+4.000: 0.279
+4.100: 0.272
+4.200: 0.265
+4.300: 0.262
+4.400: 0.257
+4.500: 0.238
+4.600: 0.235
+4.700: 0.232
+4.800: 0.206
+4.900: 0.166
+5.000: 0.153
+5.100: 0.107
+5.200: 0.099
+5.300: 0.096
+5.400: 0.091
+5.500: 0.087
+5.600: 0.067
+5.700: 0.055
+5.800: 0.043
+5.900: 0.032
+6.000: 0.032
+6.100: 0.015
+6.300: 0.015
+6.400: 0.009
+6.600: 0.010
+6.700: 0.005
+6.900: 0.000
 
-Best threshold: 2.450 (score 0.665)
+Best threshold: 2.450 (score 0.328)
Index: testing/regressionTests/results/orange/reference/MeasureAttribute2.py.txt
===================================================================
--- testing/regressionTests/results/orange/reference/MeasureAttribute2.py.txt	(revision 5824)
+++ testing/regressionTests/results/orange/reference/MeasureAttribute2.py.txt	(revision 9307)
@@ -23,6 +23,6 @@
 
 Relief
-                - no unknowns:         1.0000        -0.5833        -0.1667         0.0833
-              - with unknowns:         0.7580        -0.3412         0.0256         0.2157
+                - no unknowns:         1.0000        -0.6250        -0.1667         0.0833
+              - with unknowns:         0.7732        -0.3676         0.0385         0.1575
 
 Cost matrix ((0, 5), (1, 0))