Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Model Details:
|
2 |
+
This model classifies news headlines as either NBC or Fox News.
|
3 |
+
|
4 |
+
Model Description:
|
5 |
+
Developed by: Jack Bader, Kaiyuan Wang, Pairan Xu
|
6 |
+
|
7 |
+
Task: Binary classification (NBC News vs. Fox News)
|
8 |
+
|
9 |
+
Preprocessing: TF-IDF vectorization applied to the text data
|
10 |
+
stop_words = "english"
|
11 |
+
max_features = 1000
|
12 |
+
|
13 |
+
Model type: Random Forest
|
14 |
+
|
15 |
+
Framework: Scikit-learn
|