SMLHomework/results/experimentOne.csv

1		Measure	Value	Method
2	0	Precision	0.8702702702702703	Decision Tree
3	1	Recall	0.8702702702702703	Decision Tree
4	2	Accuracy	0.9655419956927495	Decision Tree
5	3	F1Score	0.8702702702702703	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	0.9459459459459459	Neural Network
12	10	Accuracy	0.9928212491026561	Neural Network
13	11	F1Score	0.9722222222222222	Neural Network
14	12	Precision	0.9720670391061452	Naive Bayesian
15	13	Recall	0.9405405405405406	Naive Bayesian
16	14	Accuracy	0.9885139985642498	Naive Bayesian
17	15	F1Score	0.9560439560439562	Naive Bayesian
18	16	Precision	0.8375634517766497	Decision Tree
19	17	Recall	0.8918918918918919	Decision Tree
20	18	Accuracy	0.9626704953338119	Decision Tree
21	19	F1Score	0.8638743455497383	Decision Tree
22	20	Precision	0.9941176470588236	Logistic Regression
23	21	Recall	0.9135135135135135	Logistic Regression
24	22	Accuracy	0.9877961234745154	Logistic Regression
25	23	F1Score	0.9521126760563381	Logistic Regression
26	24	Precision	1.0	Neural Network
27	25	Recall	0.9351351351351351	Neural Network
28	26	Accuracy	0.9913854989231874	Neural Network
29	27	F1Score	0.9664804469273743	Neural Network
30	28	Precision	0.9720670391061452	Naive Bayesian
31	29	Recall	0.9405405405405406	Naive Bayesian
32	30	Accuracy	0.9885139985642498	Naive Bayesian
33	31	F1Score	0.9560439560439562	Naive Bayesian
34	32	Precision	0.8702702702702703	Decision Tree
35	33	Recall	0.8702702702702703	Decision Tree
36	34	Accuracy	0.9655419956927495	Decision Tree
37	35	F1Score	0.8702702702702703	Decision Tree
38	36	Precision	0.9941176470588236	Logistic Regression
39	37	Recall	0.9135135135135135	Logistic Regression
40	38	Accuracy	0.9877961234745154	Logistic Regression
41	39	F1Score	0.9521126760563381	Logistic Regression
42	40	Precision	1.0	Neural Network
43	41	Recall	0.9351351351351351	Neural Network
44	42	Accuracy	0.9913854989231874	Neural Network
45	43	F1Score	0.9664804469273743	Neural Network
46	44	Precision	0.9720670391061452	Naive Bayesian
47	45	Recall	0.9405405405405406	Naive Bayesian
48	46	Accuracy	0.9885139985642498	Naive Bayesian
49	47	F1Score	0.9560439560439562	Naive Bayesian
50	48	Precision	0.8797814207650273	Decision Tree
51	49	Recall	0.8702702702702703	Decision Tree
52	50	Accuracy	0.9669777458722182	Decision Tree
53	51	F1Score	0.875	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	0.988950276243094	Neural Network
59	57	Recall	0.9675675675675676	Neural Network
60	58	Accuracy	0.994256999282125	Neural Network
61	59	F1Score	0.9781420765027322	Neural Network
62	60	Precision	0.9720670391061452	Naive Bayesian
63	61	Recall	0.9405405405405406	Naive Bayesian
64	62	Accuracy	0.9885139985642498	Naive Bayesian
65	63	F1Score	0.9560439560439562	Naive Bayesian
66	64	Precision	0.8757062146892656	Decision Tree
67	65	Recall	0.8378378378378378	Decision Tree
68	66	Accuracy	0.9626704953338119	Decision Tree
69	67	F1Score	0.856353591160221	Decision Tree
70	68	Precision	0.9941176470588236	Logistic Regression
71	69	Recall	0.9135135135135135	Logistic Regression
72	70	Accuracy	0.9877961234745154	Logistic Regression
73	71	F1Score	0.9521126760563381	Logistic Regression
74	72	Precision	1.0	Neural Network
75	73	Recall	0.9351351351351351	Neural Network
76	74	Accuracy	0.9913854989231874	Neural Network
77	75	F1Score	0.9664804469273743	Neural Network
78	76	Precision	0.9720670391061452	Naive Bayesian
79	77	Recall	0.9405405405405406	Naive Bayesian
80	78	Accuracy	0.9885139985642498	Naive Bayesian
81	79	F1Score	0.9560439560439562	Naive Bayesian
82	80	Precision	0.8481675392670157	Decision Tree
83	81	Recall	0.8756756756756757	Decision Tree
84	82	Accuracy	0.9626704953338119	Decision Tree
85	83	F1Score	0.8617021276595744	Decision Tree
86	84	Precision	0.9941176470588236	Logistic Regression
87	85	Recall	0.9135135135135135	Logistic Regression
88	86	Accuracy	0.9877961234745154	Logistic Regression
89	87	F1Score	0.9521126760563381	Logistic Regression
90	88	Precision	1.0	Neural Network
91	89	Recall	0.9351351351351351	Neural Network
92	90	Accuracy	0.9913854989231874	Neural Network
93	91	F1Score	0.9664804469273743	Neural Network
94	92	Precision	0.9720670391061452	Naive Bayesian
95	93	Recall	0.9405405405405406	Naive Bayesian
96	94	Accuracy	0.9885139985642498	Naive Bayesian
97	95	F1Score	0.9560439560439562	Naive Bayesian
98	96	Precision	0.8663101604278075	Decision Tree
99	97	Recall	0.8756756756756757	Decision Tree
100	98	Accuracy	0.9655419956927495	Decision Tree
101	99	F1Score	0.8709677419354839	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	1.0	Neural Network
107	105	Recall	0.9297297297297298	Neural Network
108	106	Accuracy	0.990667623833453	Neural Network
109	107	F1Score	0.9635854341736695	Neural Network
110	108	Precision	0.9720670391061452	Naive Bayesian
111	109	Recall	0.9405405405405406	Naive Bayesian
112	110	Accuracy	0.9885139985642498	Naive Bayesian
113	111	F1Score	0.9560439560439562	Naive Bayesian
114	112	Precision	0.8333333333333334	Decision Tree
115	113	Recall	0.8918918918918919	Decision Tree
116	114	Accuracy	0.9619526202440776	Decision Tree
117	115	F1Score	0.8616187989556137	Decision Tree
118	116	Precision	0.9941176470588236	Logistic Regression
119	117	Recall	0.9135135135135135	Logistic Regression
120	118	Accuracy	0.9877961234745154	Logistic Regression
121	119	F1Score	0.9521126760563381	Logistic Regression
122	120	Precision	1.0	Neural Network
123	121	Recall	0.9297297297297298	Neural Network
124	122	Accuracy	0.990667623833453	Neural Network
125	123	F1Score	0.9635854341736695	Neural Network
126	124	Precision	0.9720670391061452	Naive Bayesian
127	125	Recall	0.9405405405405406	Naive Bayesian
128	126	Accuracy	0.9885139985642498	Naive Bayesian
129	127	F1Score	0.9560439560439562	Naive Bayesian
130	128	Precision	0.8617021276595744	Decision Tree
131	129	Recall	0.8756756756756757	Decision Tree
132	130	Accuracy	0.964824120603015	Decision Tree
133	131	F1Score	0.8686327077747988	Decision Tree
134	132	Precision	0.9941176470588236	Logistic Regression
135	133	Recall	0.9135135135135135	Logistic Regression
136	134	Accuracy	0.9877961234745154	Logistic Regression
137	135	F1Score	0.9521126760563381	Logistic Regression
138	136	Precision	1.0	Neural Network
139	137	Recall	0.9243243243243243	Neural Network
140	138	Accuracy	0.9899497487437185	Neural Network
141	139	F1Score	0.9606741573033708	Neural Network
142	140	Precision	0.9720670391061452	Naive Bayesian
143	141	Recall	0.9405405405405406	Naive Bayesian
144	142	Accuracy	0.9885139985642498	Naive Bayesian
145	143	F1Score	0.9560439560439562	Naive Bayesian
146	144	Precision	0.8901098901098901	Decision Tree
147	145	Recall	0.8756756756756757	Decision Tree
148	146	Accuracy	0.9691313711414213	Decision Tree
149	147	F1Score	0.8828337874659401	Decision Tree
150	148	Precision	0.9941176470588236	Logistic Regression
151	149	Recall	0.9135135135135135	Logistic Regression
152	150	Accuracy	0.9877961234745154	Logistic Regression
153	151	F1Score	0.9521126760563381	Logistic Regression
154	152	Precision	1.0	Neural Network
155	153	Recall	0.9297297297297298	Neural Network
156	154	Accuracy	0.990667623833453	Neural Network
157	155	F1Score	0.9635854341736695	Neural Network
158	156	Precision	0.9720670391061452	Naive Bayesian
159	157	Recall	0.9405405405405406	Naive Bayesian
160	158	Accuracy	0.9885139985642498	Naive Bayesian
161	159	F1Score	0.9560439560439562	Naive Bayesian