diff --git a/hw3/hw3_10.py b/hw3/hw3_10.py
index 73b4091..dbb5f1e 100644
--- a/hw3/hw3_10.py
+++ b/hw3/hw3_10.py
@@ -22,7 +22,7 @@ def generate_data(N):
     return x, y
 
 def average_square_error(y, y_hat):
-    error = (y==y_hat)
+    error = (y!=y_hat)
     return error.sum()/error.shape[0]
 
 if __name__ == '__main__':
@@ -42,10 +42,12 @@ if __name__ == '__main__':
         errors.append(error)
         print(times, error)
     
-    errors = sorted(errors)
-    median = ( errors[63] + errors[64] ) / 2 
+    sorted_errors = sorted(errors)
+    median = ( sorted_errors[63] + sorted_errors[64] ) / 2 
 
     plt.hist(errors, bins=10)
     plt.xlabel("Ein")
     plt.title("median: {}".format(median))
-    plt.savefig("10.png")
\ No newline at end of file
+    plt.savefig("10.png")
+
+
diff --git a/hw3/hw3_11.py b/hw3/hw3_11.py
index ef13f00..fc5c46a 100644
--- a/hw3/hw3_11.py
+++ b/hw3/hw3_11.py
@@ -77,13 +77,13 @@ if __name__ == '__main__':
         print()
     
 
-    linear_regression_errors = sorted(linear_regression_errors)
-    logistic_regression_errors = sorted(logistic_regression_errors)
-    linear_regression_median = linear_regression_errors[63] + linear_regression_errors[64]
-    logistic_regression_median = logistic_regression_errors[63] + logistic_regression_errors[64]
+    sorted_linear_regression_errors = sorted(linear_regression_errors)
+    sorted_logistic_regression_errors = sorted(logistic_regression_errors)
+    linear_regression_median = sorted_linear_regression_errors[63] + sorted_linear_regression_errors[64]
+    logistic_regression_median = sorted_logistic_regression_errors[63] + sorted_logistic_regression_errors[64]
 
     plt.scatter(linear_regression_errors, logistic_regression_errors)
     plt.xlabel("linear regression error")
     plt.xlabel("logistic regression error")
     plt.title("linear regression: {}\nlogistic regression: {}".format(linear_regression_median, logistic_regression_median))
-    plt.savefig("11.png")
\ No newline at end of file
+    plt.savefig("11.png")
diff --git a/hw3/hw3_12.py b/hw3/hw3_12.py
index 65fd4f9..74acc3a 100644
--- a/hw3/hw3_12.py
+++ b/hw3/hw3_12.py
@@ -90,14 +90,13 @@ if __name__ == '__main__':
         print(times, error)
         print()
     
-
-    linear_regression_errors = sorted(linear_regression_errors)
-    logistic_regression_errors = sorted(logistic_regression_errors)
-    linear_regression_median = linear_regression_errors[63] + linear_regression_errors[64]
-    logistic_regression_median = logistic_regression_errors[63] + logistic_regression_errors[64]
+    sorted_linear_regression_errors = sorted(linear_regression_errors)
+    sorted_logistic_regression_errors = sorted(logistic_regression_errors)
+    linear_regression_median = sorted_linear_regression_errors[63] + sorted_linear_regression_errors[64]
+    logistic_regression_median = sorted_logistic_regression_errors[63] + sorted_logistic_regression_errors[64]
 
     plt.scatter(linear_regression_errors, logistic_regression_errors)
     plt.xlabel("linear regression error")
     plt.xlabel("logistic regression error")
     plt.title("linear regression: {}\nlogistic regression: {}".format(linear_regression_median, logistic_regression_median))
-    plt.savefig("12.png")
\ No newline at end of file
+    plt.savefig("12.png")
diff --git a/hw3/hw3_9.py b/hw3/hw3_9.py
index 3d0466b..bf25d19 100644
--- a/hw3/hw3_9.py
+++ b/hw3/hw3_9.py
@@ -2,7 +2,6 @@ import numpy as np
 import matplotlib.pyplot as plt
 import time
 
-
 def generate_data(N):
     y = np.random.choice([1, -1], N)
 
@@ -42,10 +41,10 @@ if __name__ == '__main__':
         errors.append(error)
         print(times, error)
     
-    errors = sorted(errors)
-    median = ( errors[63] + errors[64] ) / 2 
+    sorted_errors = sorted(errors)
+    median = ( sorted_errors[63] + sorted_errors[64] ) / 2 
 
     plt.hist(errors, bins=10)
     plt.xlabel("Ein")
     plt.title("median: {}".format(median))
-    plt.savefig("9.png")
\ No newline at end of file
+    plt.savefig("9.png")