diff --git a/examples/Active_Learning/DATA_sig_iter_0.txt b/examples/Active_Learning/DATA_sig_iter_0.txt
new file mode 100644
index 0000000..a48ac41
--- /dev/null
+++ b/examples/Active_Learning/DATA_sig_iter_0.txt
@@ -0,0 +1,100 @@
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diff --git a/examples/Active_Learning/DATA_sig_iter_200.txt b/examples/Active_Learning/DATA_sig_iter_200.txt
new file mode 100644
index 0000000..3637d6f
--- /dev/null
+++ b/examples/Active_Learning/DATA_sig_iter_200.txt
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diff --git a/examples/Active_Learning/DATA_sunit_iter_200.txt b/examples/Active_Learning/DATA_sunit_iter_200.txt
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diff --git a/examples/Active_Learning/Test_Cases.txt b/examples/Active_Learning/Test_Cases.txt
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diff --git a/examples/Active_Learning/hyper-evolution.png b/examples/Active_Learning/hyper-evolution.png
new file mode 100644
index 0000000..c4e2f0b
Binary files /dev/null and b/examples/Active_Learning/hyper-evolution.png differ
diff --git a/examples/Active_Learning/qbc_svc.py b/examples/Active_Learning/qbc_svc.py
index 590ff97..1c79763 100644
--- a/examples/Active_Learning/qbc_svc.py
+++ b/examples/Active_Learning/qbc_svc.py
@@ -27,7 +27,7 @@
 from scipy.optimize import differential_evolution
 import matplotlib.pyplot as plt
 
-matplotlib.use('Agg')
+#matplotlib.use('Agg')
 print('pyLabFEA version', FE.__version__)
 
 
@@ -180,7 +180,7 @@ def save_hard_test_cases(a , b, num_tests=5):
 
 nmembers=5  # Number of committee members
  # Number of initial samples - can be chosen by the user
-nsamples_to_generate=30 #  Number of iterations
+nsamples_to_generate=200 #  Number of iterations
 sampling_scheme='max_disagreement'  # max disagreement for yf-predictions, for classifiers generally possible: vote_entropy, consensus_entropy or maximum_disagreement, cf. https://modal-python.readthedocs.io/en/latest/content/query_strategies/Disagreement-sampling.html#disagreement-sampling
 subset_percentage=0.8
 subset_assignment='random'
@@ -196,10 +196,10 @@ def save_hard_test_cases(a , b, num_tests=5):
 mat_h.calc_properties(eps = 0.0013, sigeps = True)
 c = 200
 d = 99
-N = 200
+N = 100
 nsamples_init = N
 # sunit= FE.load_cases(number_3d=c, number_6d=d)
-sunit = creator_rnd(200,8)
+sunit = creator_rnd(N,8)
 np.savetxt('Test_Cases.txt', sunit)
 # create set of unit stresses and
 print('Created {0} unit stresses (6d Voigt tensor).'.format(N))
@@ -210,6 +210,8 @@ def save_hard_test_cases(a , b, num_tests=5):
 np.savetxt('DATA_sig_iter_0.txt', sig)
 np.savetxt('DATA_sunit_iter_0.txt', sunit)
 var = []
+hyp_C_list = []
+hyp_g_list = []
 for i in range(nsamples_to_generate):
     # train SVC committee with yield stress data generated from Hill flow rule
     C=2
@@ -223,6 +225,8 @@ def save_hard_test_cases(a , b, num_tests=5):
         mat_ml=FE.Material(name = 'ML-Hill_{}'.format(j))
         mat_ml.train_SVC(C = C, gamma = gamma, sdata = sig[idx, :], gridsearch = True)
         committee.append(mat_ml)
+        hyp_C_list.append(mat_ml.C_yf)
+        hyp_g_list.append(mat_ml.gam_yf)
 
     # Search for next unit vector to query
     bounds=[(0, np.pi)] + [(0, 2 * np.pi)] * 4
diff --git a/examples/Active_Learning/variance.txt b/examples/Active_Learning/variance.txt
new file mode 100644
index 0000000..d442787
--- /dev/null
+++ b/examples/Active_Learning/variance.txt
@@ -0,0 +1,200 @@
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diff --git a/examples/Active_Learning/variances_vs_iterations_weight=999.png b/examples/Active_Learning/variances_vs_iterations_weight=999.png
new file mode 100644
index 0000000..b079cbb
Binary files /dev/null and b/examples/Active_Learning/variances_vs_iterations_weight=999.png differ
diff --git a/examples/inclusion.py b/examples/inclusion.py
index eb156f7..6326e5a 100644
--- a/examples/inclusion.py
+++ b/examples/inclusion.py
@@ -9,15 +9,18 @@
 
 Lateral sides can be fixed or free.
 
-Created on Sun Jan 23 00:06:32 2022
+Author: Alexander Hartmaier
+ICAMS / Ruhr University Bochum, Germany
 
-@author: Alexander Hartmaier
+December 2024
+
+Published as part of pyLabFEA package under GNU GPL v3 license
 """
 from pylabfea import Model, Material
 import numpy as np
 
 # boundary conditions
-sides = 'force'  # fixed sides, change to 'disp' for fixed lateral sides
+sides = 'force'  # free sides, change to 'disp' for fixed lateral sides
 eps_tot = 0.01  # total strain in y-direction
 
 # elastic material parameters