Update README.md

Author: arthimj

README.md

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 # malware-detection-using-supervised-machine-learning-algorithm
+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
+
+Linear Regression
+Logistic Regression
+Random Forest
+Gaussian Naïve-Bayes
+RESULTS: 
+ALGORITHM -ACCURACY 
+Linear Regression:- 93.04 
+Logistic Regression:- 96.17 
+Random Forest:- 82.20 
+Naïve bayes:- 96.00