fix weaker-stronger word flip

Author: rasbt

ERRATA/README.md

@@ -80,6 +80,19 @@ The doc strings of the LogisticRegressionGD classifier reference "Mean squared e
 
 A larger gamma value should create a smaller (not larger) radius.
 
+ 
+## Chapter 4
+
+In the code block, it says
+
+```python
+# Note that C=1.0 is the default. You can increase
+# or decrease it to make the regulariztion effect
+# stronger or weaker, respectively.
+```
+
+But should have been "weaker or stronger" not "stronger or weaker"
+
  
 ## Chapter 11
 

ch04/ch04.ipynb

@@ -2312,7 +2312,7 @@
     "lr = LogisticRegression(penalty='l1', C=1.0, solver='liblinear', multi_class='ovr')\n",
     "# Note that C=1.0 is the default. You can increase\n",
     "# or decrease it to make the regulariztion effect\n",
-    "# stronger or weaker, respectively.\n",
+    "# weaker or stronger, respectively.\n",
     "lr.fit(X_train_std, y_train)\n",
     "print('Training accuracy:', lr.score(X_train_std, y_train))\n",
     "print('Test accuracy:', lr.score(X_test_std, y_test))"
@@ -2837,7 +2837,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.10.6"
   },
   "toc": {
    "nav_menu": {},

ch04/ch04.py

@@ -460,7 +460,7 @@
 lr = LogisticRegression(penalty='l1', C=1.0, solver='liblinear', multi_class='ovr')
 # Note that C=1.0 is the default. You can increase
 # or decrease it to make the regulariztion effect
-# stronger or weaker, respectively.
+# weaker or stronger, respectively.
 lr.fit(X_train_std, y_train)
 print('Training accuracy:', lr.score(X_train_std, y_train))
 print('Test accuracy:', lr.score(X_test_std, y_test))