Need help in writing Machine learning paper
Infy1234+
DataAnalysisPhishingwebsitedetection.docxMy dataset- Dataset - https://www.kaggle.com/datasets/taruntiwarihp/phishing-site-urls
My project - https://www.kaggle.com/code/ahmedxmahmoud/phishing-url-detection
Data Analysis Phishing website detection
Write 1 Paragraphs
1 paragraph
Fig 1 Cloud for words used in good url and fake website url
1 Big paragraph
Fig 2 Domains of fake and genuine website
1 paragraph
Table 1: Accuracies of Different Machine Learning Models
|
Training % |
Logistic Regression |
Random Forest |
Decision Tree |
KNN |
SVM |
LSVC |
NB |
|
10 |
0.83 |
0.83 |
0.82 |
0.74 |
0.78 |
0.87 |
0.86 |
|
20 |
0.86 |
0.87 |
0.85 |
0.73 |
0.83 |
0.88 |
0.88 |
|
30 |
0.88 |
0.88 |
0.85 |
0.73 |
0.85 |
0.90 |
0.88 |
|
40 |
0.88 |
0.88 |
0.85 |
0.74 |
0.86 |
0.90 |
0.89 |
|
50 |
0.89 |
0.89 |
0.86 |
0.75 |
0.86 |
0.91 |
0.90 |
|
60 |
0.90 |
0.89 |
0.87 |
0.75 |
0.87 |
0.91 |
0.90 |
|
70 |
0.90 |
0.90 |
0.87 |
0.76 |
0.88 |
0.91 |
0.91 |
|
80 |
0.90 |
0.90 |
0.87 |
0.74 |
0.88 |
0.91 |
0.91 |
|
90 |
0.90 |
0.89 |
0.88 |
0.74 |
0.87 |
0.90 |
0.90 |
1 paragraph
Table 2: Precisions of Different Machine Learning Models
|
Training % |
Logistic Regression |
Random Forest |
Decision Tree |
KNN |
SVM |
LSVC |
NB |
|
10 |
0.91 |
0.89 |
0.78 |
0.56 |
0.95 |
0.91 |
0.96 |
|
20 |
0.91 |
0.91 |
0.84 |
0.53 |
0.92 |
0.89 |
0.94 |
|
30 |
0.92 |
0.93 |
0.82 |
0.52 |
0.92 |
0.90 |
0.93 |
|
40 |
0.90 |
0.92 |
0.81 |
0.54 |
0.89 |
0.89 |
0.91 |
|
50 |
0.89 |
0.94 |
0.81 |
0.56 |
0.89 |
0.90 |
0.92 |
|
60 |
0.92 |
0.93 |
0.82 |
0.56 |
0.94 |
0.91 |
0.92 |
|
70 |
0.93 |
0.93 |
0.83 |
0.59 |
0.94 |
0.91 |
0.90 |
|
80 |
0.92 |
0.93 |
0.82 |
0.55 |
0.93 |
0.90 |
0.89 |
|
90 |
0.93 |
0.94 |
0.85 |
0.54 |
0.92 |
0.92 |
0.89 |
1 paragraph
Table 3: Recalls of Different Machine Learning Models
|
Training % |
Logistic Regression |
Random Forest |
Decision Tree |
KNN |
SVM |
LSVM |
NB |
|
10 |
0.45 |
0.49 |
0.56 |
0.46 |
0.26 |
0.62 |
0.52 |
|
20 |
0.58 |
0.60 |
0.60 |
0.53 |
0.45 |
0.67 |
0.60 |
|
30 |
0.64 |
0.64 |
0.61 |
0.59 |
0.51 |
0.70 |
0.65 |
|
40 |
0.68 |
0.65 |
0.67 |
0.57 |
0.57 |
0.75 |
0.70 |
|
50 |
0.71 |
0.70 |
0.68 |
0.59 |
0.60 |
0.76 |
0.72 |
|
60 |
0.72 |
0.68 |
0.69 |
0.60 |
0.59 |
0.75 |
0.73 |
|
70 |
0.74 |
0.70 |
0.70 |
0.60 |
0.63 |
0.78 |
0.77 |
|
80 |
0.72 |
0.70 |
0.74 |
0.61 |
0.62 |
0.75 |
0.78 |
|
90 |
0.69 |
0.67 |
0.69 |
0.62 |
0.60 |
0.71 |
0.74 |
1 paragraph
1 paragraph
1 paragraph
1 paragraph
1 paragraph
Discussion section
4 paragraphs
