Model Ranker

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P
1	Stats
2	ID	Classifier Type	Text Vectorizer	False Phishing	False Safe	Score	Phishing Precision	Safe Precision	Phishing Recall	Safe Recall	F1 Score	Phishing Accuracy	Safe Accuracy	Cumulative Accuracy
3	1	SVM	Count Vectoriser	2,436.00	5.00	57.02	0.84	0.57	0.01	1.00	0.37	0.01	1.00	0.50
4	2	SVM	TFIDF Vectoriser	174.00	207.00	93.29	0.92	0.95	0.93	0.94	0.93	0.93	0.94	0.93
5	3	Linear SVM	Count Vectoriser	158.00	140.00	94.75	0.94	0.95	0.94	0.96	0.94	0.94	0.96	0.95
6	4	Linear SVM	TFIDF Vectoriser	135.00	167.00	94.68	0.93	0.96	0.95	0.95	0.94	0.95	0.95	0.95
7	5	Multinomial NB	Count Vectoriser	110.00	769.00	84.52	0.75	0.96	0.96	0.76	0.84	0.96	0.76	0.86
8	6	Multinomial NB	TFIDF Vectoriser	420.00	184.00	89.37	0.92	0.88	0.83	0.94	0.89	0.83	0.94	0.89
9	7	Compliment NB	Count Vectoriser	107.00	810.00	83.86	0.74	0.96	0.96	0.75	0.84	0.96	0.75	0.85
10	8	Compliment NB	TFIDF Vectoriser	352.00	224.00	89.86	0.90	0.89	0.86	0.93	0.90	0.86	0.93	0.89
11	9	Gaussian NB	Count Vectoriser	2,463.00	3,217.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
12	10	Gaussian NB	TFIDF Vectoriser	2,463.00	3,217.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
13	11	Decision Tree	Count Vectoriser	221.00	228.00	92.10	0.91	0.93	0.91	0.93	0.92	0.91	0.93	0.92
14	12	Decision Tree	TFIDF Vectoriser	260.00	258.00	90.88	0.90	0.92	0.89	0.92	0.91	0.89	0.92	0.91
15	13	Random Forest	Count Vectoriser	347.00	227.00	89.89	0.90	0.90	0.86	0.93	0.90	0.86	0.93	0.89
16	14	Random Forest	TFIDF Vectoriser	366.00	243.00	89.28	0.90	0.89	0.85	0.92	0.89	0.85	0.92	0.89
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19	Scores
20	ID	Classifier Type	Text Vectorizer	False Phishing	False Safe	Score	Phishing Precision	Safe Precision	Phishing Recall	Safe Recall	F1 Score	Phishing Accuracy	Safe Accuracy	Cumulative Accuracy	Final Score	Final Rank
21	1	SVM	Count Vectoriser	3	14	3	5	3	3	14	3	3	14	3	445	11
22	2	SVM	TFIDF Vectoriser	10	10	12	11	10	10	10	12	10	10	12	684	3
23	3	Linear SVM	Count Vectoriser	11	13	14	14	10	11	13	13	11	13	13	800	2
24	4	Linear SVM	TFIDF Vectoriser	12	12	13	13	12	12	12	13	12	12	14	810	1
25	5	Multinomial NB	Count Vectoriser	13	4	5	4	12	13	4	4	13	4	5	519	5
26	6	Multinomial NB	TFIDF Vectoriser	4	11	7	11	4	4	10	6	4	11	6	477	7
27	7	Compliment NB	Count Vectoriser	14	3	4	3	12	13	3	4	14	3	4	501	6
28	8	Compliment NB	TFIDF Vectoriser	6	9	8	6	5	6	7	8	6	9	8	452	10
29	9	Gaussian NB	Count Vectoriser	1	1	1	1	1	1	1	1	1	1	1	66	13
30	10	Gaussian NB	TFIDF Vectoriser	1	1	1	1	1	1	1	1	1	1	1	66	13
31	11	Decision Tree	Count Vectoriser	9	7	11	10	9	9	7	11	9	7	11	576	4
32	12	Decision Tree	TFIDF Vectoriser	8	5	10	6	8	8	5	10	8	5	10	465	9
33	13	Random Forest	Count Vectoriser	7	8	9	6	7	6	7	8	7	8	9	473	8
34	14	Random Forest	TFIDF Vectoriser	5	6	6	6	5	5	5	6	5	6	7	362	12
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