Updated lazar prediction values due to commit a6b4f42437b98e7e20d719f9665b97243dddaa4d (Removing Gauss kernel)

1 files changed, 7 insertions, 7 deletions

diff --git a/lazar.rb b/lazar.rb
index 5a20972..6aa8239 100644
--- a/lazar.rb
+++ b/lazar.rb
@@ -65,8 +65,8 @@ class LazarTest < Test::Unit::TestCase
   def test_create_regression_model
     create_model :dataset_uri => @@regression_training_dataset.uri
     predict_compound OpenTox::Compound.from_smiles("c1ccccc1NN")
-    assert_in_delta @predictions.first.value(@compounds.first), 1.095, 0.1
-    assert_equal 0.453.round_to(3), @predictions.first.confidence(@compounds.first).round_to(3)
+    assert_in_delta @predictions.first.value(@compounds.first), 0.517, 0.1
+    assert_equal 0.61.round_to(3), @predictions.first.confidence(@compounds.first).round_to(3)
     assert_equal 253, @predictions.first.neighbors(@compounds.first).size
     cleanup
   end
@@ -74,7 +74,7 @@ class LazarTest < Test::Unit::TestCase
   def test_create_regression_prop_model
     create_model :dataset_uri => @@regression_training_dataset.uri, :local_svm_kernel => "propositionalized"
     predict_compound  OpenTox::Compound.from_smiles("c1ccccc1NN")
-    assert_equal 0.453.round_to(3), @predictions.first.confidence(@compounds.first).round_to(3)
+    assert_equal 0.61.round_to(3), @predictions.first.confidence(@compounds.first).round_to(3)
     assert_equal 253, @predictions.first.neighbors(@compounds.first).size
     assert_equal 131, @model.features.size
     cleanup
@@ -91,7 +91,7 @@ class LazarTest < Test::Unit::TestCase
     # assertions
     # single prediction
     assert_equal "false", @predictions[0].value(@compounds[0])
-    assert_equal 0.2938.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
+    assert_equal 0.3383.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
     assert_equal 16, @predictions[0].neighbors(@compounds[0]).size
     # dataset activity
     assert !@predictions[1].measured_activities(@compounds[1]).empty?
@@ -103,7 +103,7 @@ class LazarTest < Test::Unit::TestCase
     assert_equal "true", @predictions[2].measured_activities(c).first.to_s
     c = OpenTox::Compound.from_smiles("c1ccccc1NN")
     assert_equal "false", @predictions[2].value(c)
-    assert_equal 0.2938.round_to(4) , @predictions[2].confidence(c).round_to(4)
+    assert_equal 0.3383.round_to(4) , @predictions[2].confidence(c).round_to(4)
     # model
     assert_equal 41, @model.features.size
     cleanup
@@ -116,7 +116,7 @@ class LazarTest < Test::Unit::TestCase
     predict_dataset OpenTox::Dataset.create_from_csv_file("data/multicolumn.csv", @@subjectid)
 
     assert_equal "false", @predictions[0].value(@compounds[0])
-    assert_equal 0.3952.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
+    assert_equal 0.5587.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
     assert_equal 16, @predictions[0].neighbors(@compounds[0]).size
 
     c = OpenTox::Compound.from_smiles("c1ccccc1NN")
@@ -135,7 +135,7 @@ class LazarTest < Test::Unit::TestCase
    
    assert_equal "false", @predictions[0].value(@compounds[0])
    #assert_equal 0.2938.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
-   assert_equal 0.3952.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
+   assert_equal 0.5587.round_to(4), @predictions[0].confidence(@compounds[0]).round_to(4)
    assert_equal 16, @predictions[0].neighbors(@compounds[0]).size
 
    c = OpenTox::Compound.from_smiles("c1ccccc1NN")