Changeset 17671 for branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis

Timestamp:

07/17/20 15:19:12 (4 years ago)

Author:

gkronber

Message:

#3075: Removed "Feynman" prefix from all instances

Location:

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman

Files:

• Feynman1.cs (modified) (1 diff)
• Feynman10.cs (modified) (1 diff)
• Feynman100.cs (modified) (1 diff)
• Feynman11.cs (modified) (1 diff)
• Feynman12.cs (modified) (1 diff)
• Feynman13.cs (modified) (1 diff)
• Feynman14.cs (modified) (1 diff)
• Feynman15.cs (modified) (1 diff)
• Feynman16.cs (modified) (1 diff)
• Feynman17.cs (modified) (1 diff)
• Feynman18.cs (modified) (1 diff)
• Feynman19.cs (modified) (1 diff)
• Feynman2.cs (modified) (1 diff)
• Feynman20.cs (modified) (1 diff)
• Feynman21.cs (modified) (1 diff)
• Feynman22.cs (modified) (1 diff)
• Feynman23.cs (modified) (1 diff)
• Feynman24.cs (modified) (1 diff)
• Feynman25.cs (modified) (1 diff)
• Feynman26.cs (modified) (1 diff)
• Feynman27.cs (modified) (1 diff)
• Feynman28.cs (modified) (1 diff)
• Feynman29.cs (modified) (1 diff)
• Feynman3.cs (modified) (1 diff)
• Feynman30.cs (modified) (1 diff)
• Feynman31.cs (modified) (1 diff)
• Feynman32.cs (modified) (1 diff)
• Feynman33.cs (modified) (1 diff)
• Feynman34.cs (modified) (1 diff)
• Feynman35.cs (modified) (1 diff)
• Feynman36.cs (modified) (1 diff)
• Feynman37.cs (modified) (1 diff)
• Feynman38.cs (modified) (1 diff)
• Feynman39.cs (modified) (1 diff)
• Feynman4.cs (modified) (1 diff)
• Feynman40.cs (modified) (1 diff)
• Feynman41.cs (modified) (1 diff)
• Feynman42.cs (modified) (1 diff)
• Feynman43.cs (modified) (1 diff)
• Feynman44.cs (modified) (1 diff)
• Feynman45.cs (modified) (1 diff)
• Feynman46.cs (modified) (1 diff)
• Feynman47.cs (modified) (1 diff)
• Feynman48.cs (modified) (1 diff)
• Feynman49.cs (modified) (1 diff)
• Feynman5.cs (modified) (1 diff)
• Feynman50.cs (modified) (1 diff)
• Feynman51.cs (modified) (1 diff)
• Feynman52.cs (modified) (1 diff)
• Feynman53.cs (modified) (1 diff)
• Feynman54.cs (modified) (1 diff)
• Feynman55.cs (modified) (1 diff)
• Feynman56.cs (modified) (1 diff)
• Feynman57.cs (modified) (1 diff)
• Feynman58.cs (modified) (1 diff)
• Feynman59.cs (modified) (1 diff)
• Feynman6.cs (modified) (1 diff)
• Feynman60.cs (modified) (1 diff)
• Feynman61.cs (modified) (1 diff)
• Feynman62.cs (modified) (1 diff)
• Feynman63.cs (modified) (1 diff)
• Feynman64.cs (modified) (1 diff)
• Feynman65.cs (modified) (1 diff)
• Feynman66.cs (modified) (1 diff)
• Feynman67.cs (modified) (1 diff)
• Feynman68.cs (modified) (1 diff)
• Feynman69.cs (modified) (1 diff)
• Feynman7.cs (modified) (1 diff)
• Feynman70.cs (modified) (1 diff)
• Feynman71.cs (modified) (1 diff)
• Feynman72.cs (modified) (1 diff)
• Feynman73.cs (modified) (1 diff)
• Feynman74.cs (modified) (1 diff)
• Feynman75.cs (modified) (1 diff)
• Feynman76.cs (modified) (1 diff)
• Feynman77.cs (modified) (1 diff)
• Feynman78.cs (modified) (1 diff)
• Feynman79.cs (modified) (1 diff)
• Feynman8.cs (modified) (1 diff)
• Feynman80.cs (modified) (1 diff)
• Feynman81.cs (modified) (1 diff)
• Feynman82.cs (modified) (1 diff)
• Feynman83.cs (modified) (1 diff)
• Feynman84.cs (modified) (1 diff)
• Feynman85.cs (modified) (1 diff)
• Feynman86.cs (modified) (1 diff)
• Feynman87.cs (modified) (1 diff)
• Feynman88.cs (modified) (1 diff)
• Feynman89.cs (modified) (1 diff)
• Feynman9.cs (modified) (1 diff)
• Feynman90.cs (modified) (1 diff)
• Feynman91.cs (modified) (1 diff)
• Feynman92.cs (modified) (1 diff)
• Feynman93.cs (modified) (1 diff)
• Feynman94.cs (modified) (1 diff)
• Feynman95.cs (modified) (1 diff)
• Feynman96.cs (modified) (1 diff)
• Feynman97.cs (modified) (1 diff)
• Feynman98.cs (modified) (1 diff)
• Feynman99.cs (modified) (1 diff)
• FeynmanBonus1.cs (modified) (1 diff)
• FeynmanBonus10.cs (modified) (1 diff)
• FeynmanBonus11.cs (modified) (1 diff)
• FeynmanBonus12.cs (modified) (1 diff)
• FeynmanBonus13.cs (modified) (1 diff)
• FeynmanBonus14.cs (modified) (1 diff)
• FeynmanBonus15.cs (modified) (1 diff)
• FeynmanBonus16.cs (modified) (1 diff)
• FeynmanBonus17.cs (modified) (1 diff)
• FeynmanBonus18.cs (modified) (1 diff)
• FeynmanBonus19.cs (modified) (1 diff)
• FeynmanBonus2.cs (modified) (1 diff)
• FeynmanBonus20.cs (modified) (1 diff)
• FeynmanBonus3.cs (modified) (1 diff)
• FeynmanBonus4.cs (modified) (1 diff)
• FeynmanBonus5.cs (modified) (1 diff)
• FeynmanBonus6.cs (modified) (1 diff)
• FeynmanBonus7.cs (modified) (1 diff)
• FeynmanBonus8.cs (modified) (1 diff)
• FeynmanBonus9.cs (modified) (1 diff)

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman1.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.6.2a exp(-theta**2/2)/sqrt(2*pi) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.6.2a exp(-theta**2/2)/sqrt(2*pi) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman10.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.12.2 q1*q2*r/(4*pi*epsilon*r**3) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.12.2 q1*q2*r/(4*pi*epsilon*r**3) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman100.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.21.20 -rho_c_0*q*A_vec/m | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.21.20 -rho_c_0*q*A_vec/m | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman11.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.12.4 q1*r/(4*pi*epsilon*r**3) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.12.4 q1*r/(4*pi*epsilon*r**3) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman12.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.12.5 q2*Ef | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.12.5 q2*Ef | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman13.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.12.11 q*(Ef+B*v*sin(theta)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.12.11 q*(Ef+B*v*sin(theta)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman14.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.13.12 G*m1*m2*(1/r2-1/r1) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.13.12 G*m1*m2*(1/r2-1/r1) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman15.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.14.3 m*g*z | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.14.3 m*g*z | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman16.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.14.4 1/2*k_spring*x**2 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.14.4 1/2*k_spring*x**2 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman17.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.15.3x (x-u*t)/sqrt(1-u**2/c**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.15.3x (x-u*t)/sqrt(1-u**2/c**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman18.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.15.3t (t-u*x/c**2)/sqrt(1-u**2/c**2) | {0} samples | noise ({1})",
+        return string.Format("I.15.3t (t-u*x/c**2)/sqrt(1-u**2/c**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman19.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.15.1 m_0*v/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.15.1 m_0*v/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman2.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.6.2 exp(-(theta/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | noise ({1})",
+        return string.Format("I.6.2 exp(-(theta/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman20.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.16.6 (u+v)/(1+u*v/c**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.16.6 (u+v)/(1+u*v/c**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman21.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.18.4 (m1*r1+m2*r2)/(m1+m2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.18.4 (m1*r1+m2*r2)/(m1+m2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman22.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.18.12 r*F*sin(theta) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.18.12 r*F*sin(theta) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman23.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.18.14 m*r*v*sin(theta) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.18.14 m*r*v*sin(theta) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman24.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.24.6 1/2*m*(omega**2+omega_0**2)*1/2*x**2 | {0} samples | noise ({1})",
+        return string.Format("I.24.6 1/2*m*(omega**2+omega_0**2)*1/2*x**2 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman25.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.25.13 q/C | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.25.13 q/C | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman26.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.26.2 arcsin(n*sin(theta2)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.26.2 arcsin(n*sin(theta2)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman27.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.27.6 1/(1/d1+n/d2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.27.6 1/(1/d1+n/d2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman28.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.29.4 omega/c | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.29.4 omega/c | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman29.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.29.16 sqrt(x1**2+x2**2-2*x1*x2*cos(theta1-theta2)) | {0} samples | noise ({1})",
+        return string.Format("I.29.16 sqrt(x1**2+x2**2-2*x1*x2*cos(theta1-theta2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman3.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman I.6.2b exp(-((theta-theta1)/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | noise ({1})",
+          "I.6.2b exp(-((theta-theta1)/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman30.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.30.3 Int_0*sin(n*theta/2)**2/sin(theta/2)**2 | {0} samples | noise ({1})",
+        return string.Format("I.30.3 Int_0*sin(n*theta/2)**2/sin(theta/2)**2 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman31.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.30.5 arcsin(lambd/(n*d)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.30.5 arcsin(lambd/(n*d)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman32.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.32.5 q**2*a**2/(6*pi*epsilon*c**3) | {0} samples | noise ({1})",
+        return string.Format("I.32.5 q**2*a**2/(6*pi*epsilon*c**3) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman33.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman I.32.17 (1/2*epsilon*c*Ef**2)*(8*pi*r**2/3)*(omega**4/(omega**2-omega_0**2)**2) | {0} samples | noise ({1})",
+          "I.32.17 (1/2*epsilon*c*Ef**2)*(8*pi*r**2/3)*(omega**4/(omega**2-omega_0**2)**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman34.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.34.8 q*v*B/p | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.34.8 q*v*B/p | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman35.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.34.1 omega_0/(1-v/c) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.34.1 omega_0/(1-v/c) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman36.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.34.14 (1+v/c)/sqrt(1-v**2/c**2)*omega_0 | {0} samples | noise ({1})",
+        return string.Format("I.34.14 (1+v/c)/sqrt(1-v**2/c**2)*omega_0 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman37.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.34.27 (h/(2*pi))*omega | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.34.27 (h/(2*pi))*omega | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman38.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.37.4 I1+I2+2*sqrt(I1*I2)*cos(delta) | {0} samples | noise ({1})",
+        return string.Format("I.37.4 I1+I2+2*sqrt(I1*I2)*cos(delta) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman39.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.38.12 4*pi*epsilon*(h/(2*pi))**2/(m*q**2) | {0} samples | noise ({1})",
+        return string.Format("I.38.12 4*pi*epsilon*(h/(2*pi))**2/(m*q**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman4.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.8.14 sqrt((x2-x1)**2+(y2-y1)**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.8.14 sqrt((x2-x1)**2+(y2-y1)**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman40.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.39.1 3/2*pr*V | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.39.1 3/2*pr*V | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman41.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.39.11 1/(gamma-1)*pr*V | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.39.11 1/(gamma-1)*pr*V | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman42.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.39.22 n*kb*T/V | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.39.22 n*kb*T/V | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman43.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.40.1 n_0*exp(-m*g*x/(kb*T)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.40.1 n_0*exp(-m*g*x/(kb*T)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman44.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman I.41.16 h*omega**3/(pi**2*c**2*(exp((h/(2*pi))*omega/(kb*T))-1)) | {0} samples | noise ({1})",
+          "I.41.16 h*omega**3/(pi**2*c**2*(exp((h/(2*pi))*omega/(kb*T))-1)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman45.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.43.16 mu_drift*q*Volt/d | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.43.16 mu_drift*q*Volt/d | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman46.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.43.31 mob*kb*T | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.43.31 mob*kb*T | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman47.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.43.43 1/(gamma-1)*kb*v/A | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.43.43 1/(gamma-1)*kb*v/A | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman48.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.44.4 n*kb*T*ln(V2/V1) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.44.4 n*kb*T*ln(V2/V1) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman49.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.47.23 sqrt(gamma*pr/rho) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.47.23 sqrt(gamma*pr/rho) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman5.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.9.18 G*m1*m2/((x2-x1)**2+(y2-y1)**2+(z2-z1)**2) | {0} samples | noise ({1})",
+        return string.Format("I.9.18 G*m1*m2/((x2-x1)**2+(y2-y1)**2+(z2-z1)**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman50.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.48.2 m*c**2/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.48.2 m*c**2/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman51.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.50.26 x1*(cos(omega*t)+alpha*cos(omega*t)**2) | {0} samples | noise ({1})",
+        return string.Format("I.50.26 x1*(cos(omega*t)+alpha*cos(omega*t)**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman52.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.2.42 kappa*(T2-T1)*A/d | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.2.42 kappa*(T2-T1)*A/d | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman53.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.3.24 Pwr/(4*pi*r**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.3.24 Pwr/(4*pi*r**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman54.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.4.23 q/(4*pi*epsilon*r) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.4.23 q/(4*pi*epsilon*r) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman55.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.6.11 1/(4*pi*epsilon)*p_d*cos(theta)/r**2 | {0} samples | noise ({1})",
+        return string.Format("II.6.11 1/(4*pi*epsilon)*p_d*cos(theta)/r**2 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman56.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.6.15a p_d/(4*pi*epsilon)*3*z/r**5*sqrt(x**2+y**2) | {0} samples | noise ({1})",
+        return string.Format("II.6.15a p_d/(4*pi*epsilon)*3*z/r**5*sqrt(x**2+y**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman57.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman II.6.15b p_d/(4*pi*epsilon)*3*cos(theta)*sin(theta)/r**3 | {0} samples | noise ({1})",
+          "II.6.15b p_d/(4*pi*epsilon)*3*cos(theta)*sin(theta)/r**3 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman58.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.8.7 3/5*q**2/(4*pi*epsilon*d) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.8.7 3/5*q**2/(4*pi*epsilon*d) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman59.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.8.31 epsilon*Ef**2/2 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.8.31 epsilon*Ef**2/2 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman6.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.10.7 m_0/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.10.7 m_0/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman60.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.10.9 sigma_den/epsilon*1/(1+chi) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.10.9 sigma_den/epsilon*1/(1+chi) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman61.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.11.3 q*Ef/(m*(omega_0**2-omega**2)) | {0} samples | noise ({1})",
+        return string.Format("II.11.3 q*Ef/(m*(omega_0**2-omega**2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman62.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.11.17 n_0*(1+p_d*Ef*cos(theta)/(kb*T)) | {0} samples | noise ({1})",
+        return string.Format("II.11.17 n_0*(1+p_d*Ef*cos(theta)/(kb*T)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman63.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.11.20 n_rho*p_d**2*Ef/(3*kb*T) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.11.20 n_rho*p_d**2*Ef/(3*kb*T) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman64.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.11.27 n*alpha/(1-(n*alpha/3))*epsilon*Ef | {0} samples | noise ({1})",
+        return string.Format("II.11.27 n*alpha/(1-(n*alpha/3))*epsilon*Ef | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman65.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.11.28 1+n*alpha/(1-(n*alpha/3)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.11.28 1+n*alpha/(1-(n*alpha/3)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman66.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.13.17 1/(4*pi*epsilon*c**2)*2*I/r | {0} samples | noise ({1})",
+        return string.Format("II.13.17 1/(4*pi*epsilon*c**2)*2*I/r | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman67.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.13.23 rho_c_0/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.13.23 rho_c_0/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman68.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.13.34 rho_c_0*v/sqrt(1-v**2/c**2) | {0} samples | noise ({1})",
+        return string.Format("II.13.34 rho_c_0*v/sqrt(1-v**2/c**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman69.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.15.4 -mom*B*cos(theta) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.15.4 -mom*B*cos(theta) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman7.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.11.19 x1*y1+x2*y2+x3*y3 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.11.19 x1*y1+x2*y2+x3*y3 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman70.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.15.5 -p_d*Ef*cos(theta) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.15.5 -p_d*Ef*cos(theta) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman71.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.21.32 q/(4*pi*epsilon*r*(1-v/c)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.21.32 q/(4*pi*epsilon*r*(1-v/c)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman72.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.24.17 sqrt(omega**2/c**2-pi**2/d**2) | {0} samples | noise ({1})",
+        return string.Format("II.24.17 sqrt(omega**2/c**2-pi**2/d**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman73.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.27.16 epsilon*c*Ef**2 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.27.16 epsilon*c*Ef**2 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman74.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.27.18 epsilon*Ef**2 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.27.18 epsilon*Ef**2 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman75.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.34.2a q*v/(2*pi*r) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.34.2a q*v/(2*pi*r) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman76.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.34.2 q*v*r/2 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.34.2 q*v*r/2 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman77.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.34.11 g_*q*B/(2*m) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.34.11 g_*q*B/(2*m) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman78.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.34.29a q*h/(4*pi*m) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.34.29a q*h/(4*pi*m) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman79.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.34.29b g_*mom*B*Jz/(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.34.29b g_*mom*B*Jz/(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman8.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.12.1 mu*Nn | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.12.1 mu*Nn | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman80.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.35.18 n_0/(exp(mom*B/(kb*T))+exp(-mom*B/(kb*T))) | {0} samples | noise ({1})",
+        return string.Format("II.35.18 n_0/(exp(mom*B/(kb*T))+exp(-mom*B/(kb*T))) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman81.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.35.21 n_rho*mom*tanh(mom*B/(kb*T)) | {0} samples | noise ({1})",
+        return string.Format("II.35.21 n_rho*mom*tanh(mom*B/(kb*T)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman82.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman II.36.38 mom*H/(kb*T)+(mom*alpha)/(epsilon*c**2*kb*T)*M | {0} samples | noise ({1})",
+          "II.36.38 mom*H/(kb*T)+(mom*alpha)/(epsilon*c**2*kb*T)*M | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman83.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.37.1 mom*(1+chi)*B | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.37.1 mom*(1+chi)*B | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman84.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.38.3 Y*A*x/d | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.38.3 Y*A*x/d | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman85.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman II.38.14 Y/(2*(1+sigma)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("II.38.14 Y/(2*(1+sigma)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman86.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.4.32 1/(exp((h/(2*pi))*omega/(kb*T))-1) | {0} samples | noise ({1})",
+        return string.Format("III.4.32 1/(exp((h/(2*pi))*omega/(kb*T))-1) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman87.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman III.4.33 (h/(2*pi))*omega/(exp((h/(2*pi))*omega/(kb*T))-1) | {0} samples | noise ({1})",
+          "III.4.33 (h/(2*pi))*omega/(exp((h/(2*pi))*omega/(kb*T))-1) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman88.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.7.38 2*mom*B/(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.7.38 2*mom*B/(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman89.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.8.54 sin(E_n*t/(h/(2*pi)))**2 | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.8.54 sin(E_n*t/(h/(2*pi)))**2 | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman9.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman I.13.4 1/2*m*(v**2+u**2+w**2) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("I.13.4 1/2*m*(v**2+u**2+w**2) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman90.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman III.9.52 (p_d*Ef*t/(h)*sin((omega-omega_0)*t/2)**2/((omega-omega_0)*t/2)**2 | {0} samples | noise ({1})",
+          "III.9.52 (p_d*Ef*t/(h)*sin((omega-omega_0)*t/2)**2/((omega-omega_0)*t/2)**2 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman91.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.10.19 mom*sqrt(Bx**2+By**2+Bz**2) | {0} samples | noise ({1})",
+        return string.Format("III.10.19 mom*sqrt(Bx**2+By**2+Bz**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman92.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.12.43 n*(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.12.43 n*(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman93.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.13.18 2*E_n*d**2*k/(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.13.18 2*E_n*d**2*k/(h/(2*pi)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman94.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.14.14 I_0*(exp(q*Volt/(kb*T))-1) | {0} samples | noise ({1})",
+        return string.Format("III.14.14 I_0*(exp(q*Volt/(kb*T))-1) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman95.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.15.12 2*U*(1-cos(k*d)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.15.12 2*U*(1-cos(k*d)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman96.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.15.14 (h/(2*pi))**2/(2*E_n*d**2) | {0} samples | noise ({1})",
+        return string.Format("III.15.14 (h/(2*pi))**2/(2*E_n*d**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman97.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.15.27 2*pi*alpha/(n*d) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.15.27 2*pi*alpha/(n*d) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman98.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman III.17.37 beta*(1+alpha*cos(theta)) | {0} samples | noise ({1})", trainingSamples,
+        return string.Format("III.17.37 beta*(1+alpha*cos(theta)) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman99.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman III.19.51 -m*q**4/(2*(4*pi*epsilon)**2*(h/(2*pi))**2)*(1/n**2) | {0} samples | noise ({1})",
+          "III.19.51 -m*q**4/(2*(4*pi*epsilon)**2*(h/(2*pi))**2)*(1/n**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus1.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman Rutherford scattering (Z_1*Z_2*alpha*hbar*c/(4*E_n*sin(theta/2)**2))**2 | {0} samples | noise ({1})",
+          "Rutherford scattering: (Z_1*Z_2*alpha*hbar*c/(4*E_n*sin(theta/2)**2))**2 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus10.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman Relativistic aberation arccos((cos(theta2)-v/c)/(1-v/c*cos(theta2))) | {0} samples | noise ({1})",
+          "Relativistic aberation: arccos((cos(theta2)-v/c)/(1-v/c*cos(theta2))) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus11.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman N-slit diffraction I_0*(sin(alpha/2)*sin(n*delta/2)/(alpha/2*sin(delta/2)))**2 | {0} samples | noise ({1})",
+          "N-slit diffraction: I_0*(sin(alpha/2)*sin(n*delta/2)/(alpha/2*sin(delta/2)))**2 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus12.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 2.11 Jackson q/(4*pi*epsilon*y**2)*(4*pi*epsilon*Volt*d-q*d*y**3/(y**2-d**2)**2) | {0} samples | noise ({1})",
+          "Jackson 2.11: q/(4*pi*epsilon*y**2)*(4*pi*epsilon*Volt*d-q*d*y**3/(y**2-d**2)**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus13.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 3.45 Jackson 1/(4*pi*epsilon)*q/sqrt(r**2+d**2-2*r*d*cos(alpha)) | {0} samples | noise ({1})",
+          "Jackson 3.45: 1/(4*pi*epsilon)*q/sqrt(r**2+d**2-2*r*d*cos(alpha)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus14.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 4.60' Jackson Ef*cos(theta)*(-r+d**3/r**2*(alpha-1)/(alpha+2)) | {0} samples | noise ({1})",
+          "Jackson 4.60: Ef*cos(theta)*(-r+d**3/r**2*(alpha-1)/(alpha+2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus15.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 11.38 Jackson sqrt(1-v**2/c**2)*omega/(1+v/c*cos(theta)) | {0} samples | noise ({1})",
+          "Jackson 11.38: sqrt(1-v**2/c**2)*omega/(1+v/c*cos(theta)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus16.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 8.56 Goldstein sqrt((p-q*A_vec)**2*c**2+m**2*c**4)+q*Volt | {0} samples | noise ({1})",
+          "Goldstein 8.56: sqrt((p-q*A_vec)**2*c**2+m**2*c**4)+q*Volt | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus17.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 12.80' Goldstein 1/(2*m)*(p**2+m**2*omega**2*x**2*(1+alpha*x/y)) | {0} samples | noise ({1})",
+          "Goldstein 12.80: 1/(2*m)*(p**2+m**2*omega**2*x**2*(1+alpha*x/y)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus18.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman 15.2.1 Weinberg 3/(8*pi*G)*(c**2*k_f/r**2+H_G**2) | {0} samples | noise ({1})",
+        return string.Format("Weinberg 15.2.1: 3/(8*pi*G)*(c**2*k_f/r**2+H_G**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus19.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 15.2.2 Weinberg -1/(8*pi*G)*(c**4*k_f/r**2+H_G**2*c**2*(1-2*alpha)) | {0} samples | noise ({1})",
+          "Weinberg 15.2.2: -1/(8*pi*G)*(c**4*k_f/r**2+H_G**2*c**2*(1-2*alpha)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus2.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 3.55 Goldstein m*k_G/L**2*(1+sqrt(1+2*E_n*L**2/(m*k_G**2))*cos(theta1-theta2)) | {0} samples | noise ({1})",
+          "Goldstein 3.55: m*k_G/L**2*(1+sqrt(1+2*E_n*L**2/(m*k_G**2))*cos(theta1-theta2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus20.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman Klein-Nishina (13.132 Schwarz) 1/(4*pi)*alpha**2*h**2/(m**2*c**2)*(omega_0/omega)**2*(omega_0/omega+omega/omega_0-sin(beta)**2) | {0} samples | noise ({1})",
+          "Schwarz 13.132 (Klein-Nishina): 1/(4*pi)*alpha**2*h**2/(m**2*c**2)*(omega_0/omega)**2*(omega_0/omega+omega/omega_0-sin(beta)**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus3.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 3.64 Goldstein d*(1-alpha**2)/(1+alpha*cos(theta1-theta2)) | {0} samples | noise ({1})",
+          "Goldstein 3.64: d*(1-alpha**2)/(1+alpha*cos(theta1-theta2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus4.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman 3.16 Goldstein sqrt(2/m*(E_n-U-L**2/(2*m*r**2))) | {0} samples | noise ({1})",
+        return string.Format("Goldstein 3.16: sqrt(2/m*(E_n-U-L**2/(2*m*r**2))) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus5.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman 3.74 Goldstein 2*pi*d**(3/2)/sqrt(G*(m1+m2)) | {0} samples | noise ({1})",
+        return string.Format("Goldstein 3.74: 2*pi*d**(3/2)/sqrt(G*(m1+m2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus6.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman 3.99 Goldstein sqrt(1+2*epsilon**2*E_n*L**2/(m*(Z_1*Z_2*q**2)**2)) | {0} samples | noise ({1})",
+          "Goldstein 3.99: sqrt(1+2*epsilon**2*E_n*L**2/(m*(Z_1*Z_2*q**2)**2)) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus7.cs

@@ -28 +28 @@
     public override string Name {
       get {
-        return string.Format("Feynman Friedman Equation sqrt(8*pi*G*rho/3-alpha*c**2/d**2) | {0} samples | noise ({1})",
+        return string.Format("Friedman Equation: sqrt(8*pi*G*rho/3-alpha*c**2/d**2) | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus8.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman Compton Scattering E_n/(1+E_n/(m*c**2)*(1-cos(theta))) | {0} samples | noise ({1})", trainingSamples,
+          "Compton Scattering: E_n/(1+E_n/(m*c**2)*(1-cos(theta))) | {0} samples | noise ({1})", trainingSamples,
           noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus9.cs

@@ -29 +29 @@
       get {
         return string.Format(
-          "Feynman Radiated gravitational wave power -32/5*G**4/c**5*(m1*m2)**2*(m1+m2)/r**5 | {0} samples | noise ({1})",
+          "Radiated gravitational wave power: -32/5*G**4/c**5*(m1*m2)**2*(m1+m2)/r**5 | {0} samples | noise ({1})",
           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }