Update README.md

Author: arthimj

README.md

@@ -1 +1,23 @@
-# malware-detection-using-supervised-machine-learning-algorithm
+# malware-detection-using-supervised-machine-learning-algorith
+It is such a simple program to detect whether the given urls(u can give any number of urls in the program)is malicious or not.
+
+before running this code.py file make sure that u have installed all the necessarry packages like pandas,numpy..
+
+
+the dataset given here(url_feature.csv) contains for than 10,000 urls. if u want u can reduce the number for time consumption.
+
+
+Algorithm used:
+All of URLs in the dataset are labeled. We use 5-fold method to train-test our systems. After selecting features, we used four machine learning algorithms. They are
+1. Linear Regression
+2. Logistic Regression
+3. Random Forest
+4. Gaussian Naïve-Bayes
+
+RESULTS:
+ALGORITHM              -ACCURACY
+Linear Regression        93.04
+Logistic Regression      96.17
+Random Forest            82.20
+Naïve bayes              96.00
+