SMLHomework/results/experimentBasicMethods.csv

1		Measure	Value	Method
2	0	Precision	0.8333333333333334	Decision Tree
3	1	Recall	0.8648648648648649	Decision Tree
4	2	Accuracy	0.95908111988514	Decision Tree
5	3	F1Score	0.8488063660477454	Decision Tree
6	4	Precision	0.9941176470588236	Logistic Regression
7	5	Recall	0.9135135135135135	Logistic Regression
8	6	Accuracy	0.9877961234745154	Logistic Regression
9	7	F1Score	0.9521126760563381	Logistic Regression
10	8	Precision	1.0	Neural Network
11	9	Recall	0.9297297297297298	Neural Network
12	10	Accuracy	0.990667623833453	Neural Network
13	11	F1Score	0.9635854341736695	Neural Network
14	12	Precision	0.8631578947368421	Decision Tree
15	13	Recall	0.8864864864864865	Decision Tree
16	14	Accuracy	0.9662598707824839	Decision Tree
17	15	F1Score	0.8746666666666667	Decision Tree
18	16	Precision	0.9941176470588236	Logistic Regression
19	17	Recall	0.9135135135135135	Logistic Regression
20	18	Accuracy	0.9877961234745154	Logistic Regression
21	19	F1Score	0.9521126760563381	Logistic Regression
22	20	Precision	1.0	Neural Network
23	21	Recall	0.9297297297297298	Neural Network
24	22	Accuracy	0.990667623833453	Neural Network
25	23	F1Score	0.9635854341736695	Neural Network
26	24	Precision	0.8465608465608465	Decision Tree
27	25	Recall	0.8648648648648649	Decision Tree
28	26	Accuracy	0.9612347451543432	Decision Tree
29	27	F1Score	0.8556149732620321	Decision Tree
30	28	Precision	0.9941176470588236	Logistic Regression
31	29	Recall	0.9135135135135135	Logistic Regression
32	30	Accuracy	0.9877961234745154	Logistic Regression
33	31	F1Score	0.9521126760563381	Logistic Regression
34	32	Precision	1.0	Neural Network
35	33	Recall	0.9351351351351351	Neural Network
36	34	Accuracy	0.9913854989231874	Neural Network
37	35	F1Score	0.9664804469273743	Neural Network
38	36	Precision	0.8743169398907104	Decision Tree
39	37	Recall	0.8648648648648649	Decision Tree
40	38	Accuracy	0.9655419956927495	Decision Tree
41	39	F1Score	0.8695652173913042	Decision Tree
42	40	Precision	0.9941176470588236	Logistic Regression
43	41	Recall	0.9135135135135135	Logistic Regression
44	42	Accuracy	0.9877961234745154	Logistic Regression
45	43	F1Score	0.9521126760563381	Logistic Regression
46	44	Precision	1.0	Neural Network
47	45	Recall	0.9297297297297298	Neural Network
48	46	Accuracy	0.990667623833453	Neural Network
49	47	F1Score	0.9635854341736695	Neural Network
50	48	Precision	0.8578947368421053	Decision Tree
51	49	Recall	0.8810810810810811	Decision Tree
52	50	Accuracy	0.964824120603015	Decision Tree
53	51	F1Score	0.8693333333333333	Decision Tree
54	52	Precision	0.9941176470588236	Logistic Regression
55	53	Recall	0.9135135135135135	Logistic Regression
56	54	Accuracy	0.9877961234745154	Logistic Regression
57	55	F1Score	0.9521126760563381	Logistic Regression
58	56	Precision	0.9942857142857143	Neural Network
59	57	Recall	0.9405405405405406	Neural Network
60	58	Accuracy	0.9913854989231874	Neural Network
61	59	F1Score	0.9666666666666667	Neural Network
62	60	Precision	0.8624338624338624	Decision Tree
63	61	Recall	0.8810810810810811	Decision Tree
64	62	Accuracy	0.9655419956927495	Decision Tree
65	63	F1Score	0.8716577540106951	Decision Tree
66	64	Precision	0.9941176470588236	Logistic Regression
67	65	Recall	0.9135135135135135	Logistic Regression
68	66	Accuracy	0.9877961234745154	Logistic Regression
69	67	F1Score	0.9521126760563381	Logistic Regression
70	68	Precision	0.9942528735632183	Neural Network
71	69	Recall	0.9351351351351351	Neural Network
72	70	Accuracy	0.990667623833453	Neural Network
73	71	F1Score	0.9637883008356545	Neural Network
74	72	Precision	0.8695652173913043	Decision Tree
75	73	Recall	0.8648648648648649	Decision Tree
76	74	Accuracy	0.964824120603015	Decision Tree
77	75	F1Score	0.8672086720867209	Decision Tree
78	76	Precision	0.9941176470588236	Logistic Regression
79	77	Recall	0.9135135135135135	Logistic Regression
80	78	Accuracy	0.9877961234745154	Logistic Regression
81	79	F1Score	0.9521126760563381	Logistic Regression
82	80	Precision	1.0	Neural Network
83	81	Recall	0.9297297297297298	Neural Network
84	82	Accuracy	0.990667623833453	Neural Network
85	83	F1Score	0.9635854341736695	Neural Network
86	84	Precision	0.8797814207650273	Decision Tree
87	85	Recall	0.8702702702702703	Decision Tree
88	86	Accuracy	0.9669777458722182	Decision Tree
89	87	F1Score	0.875	Decision Tree
90	88	Precision	0.9941176470588236	Logistic Regression
91	89	Recall	0.9135135135135135	Logistic Regression
92	90	Accuracy	0.9877961234745154	Logistic Regression
93	91	F1Score	0.9521126760563381	Logistic Regression
94	92	Precision	0.9942528735632183	Neural Network
95	93	Recall	0.9351351351351351	Neural Network
96	94	Accuracy	0.990667623833453	Neural Network
97	95	F1Score	0.9637883008356545	Neural Network
98	96	Precision	0.8601036269430051	Decision Tree
99	97	Recall	0.8972972972972973	Decision Tree
100	98	Accuracy	0.9669777458722182	Decision Tree
101	99	F1Score	0.8783068783068783	Decision Tree
102	100	Precision	0.9941176470588236	Logistic Regression
103	101	Recall	0.9135135135135135	Logistic Regression
104	102	Accuracy	0.9877961234745154	Logistic Regression
105	103	F1Score	0.9521126760563381	Logistic Regression
106	104	Precision	0.9942196531791907	Neural Network
107	105	Recall	0.9297297297297298	Neural Network
108	106	Accuracy	0.9899497487437185	Neural Network
109	107	F1Score	0.9608938547486033	Neural Network
110	108	Precision	0.8609625668449198	Decision Tree
111	109	Recall	0.8702702702702703	Decision Tree
112	110	Accuracy	0.9641062455132807	Decision Tree
113	111	F1Score	0.8655913978494624	Decision Tree
114	112	Precision	0.9941176470588236	Logistic Regression
115	113	Recall	0.9135135135135135	Logistic Regression
116	114	Accuracy	0.9877961234745154	Logistic Regression
117	115	F1Score	0.9521126760563381	Logistic Regression
118	116	Precision	1.0	Neural Network
119	117	Recall	0.9297297297297298	Neural Network
120	118	Accuracy	0.990667623833453	Neural Network
121	119	F1Score	0.9635854341736695	Neural Network