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Outputs.txt
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Outputs.txt
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c4.5
k=5 #k-fold
Scores: [97.05882352941177, 97.05882352941177, 97.05882352941177, 100.0, 94.11764705882352]
Mean Accuracy: 97.059%
Naive bayes
k=5
Scores: [94.11764705882352, 97.05882352941177, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.059%
k=2
Scores: [96.47058823529412, 97.6470588235294]
Mean Accuracy: 97.059%
k=10
Scores: [94.11764705882352, 94.11764705882352, 100.0, 94.11764705882352, 100.0, 94.11764705882352, 100.0, 100.0, 94.11764705882352, 100.0]
Mean Accuracy: 97.059%
KNN
1 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
3 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
5 Nearest-Neighbors
Scores: [96.47058823529412, 98.82352941176471]
Mean Accuracy: 97.647%
7 Nearest-Neighbors
Scores: [100.0, 95.29411764705881]
Mean Accuracy: 97.647%
9 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
11 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
13 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
15 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
17 Nearest-Neighbors
Scores: [96.47058823529412, 98.82352941176471]
Mean Accuracy: 97.647%
19 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
21 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
23 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
25 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
27 Nearest-Neighbors
Scores: [100.0, 95.29411764705881]
Mean Accuracy: 97.647%
29 Nearest-Neighbors
Scores: [96.47058823529412, 98.82352941176471]
Mean Accuracy: 97.647%
31 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
33 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
35 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
37 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
39 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
41 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
43 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
45 Nearest-Neighbors
Scores: [95.29411764705881, 100.0]
Mean Accuracy: 97.647%
47 Nearest-Neighbors
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
49 Nearest-Neighbors
Scores: [96.47058823529412, 98.82352941176471]
Mean Accuracy: 97.647%
51 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
53 Nearest-Neighbors
Scores: [96.47058823529412, 98.82352941176471]
Mean Accuracy: 97.647%
55 Nearest-Neighbors
Scores: [100.0, 95.29411764705881]
Mean Accuracy: 97.647%
57 Nearest-Neighbors
Scores: [96.47058823529412, 98.82352941176471]
Mean Accuracy: 97.647%
59 Nearest-Neighbors
Scores: [98.82352941176471, 96.47058823529412]
Mean Accuracy: 97.647%
2_folds
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
3_folds
Scores: [94.64285714285714, 100.0, 98.21428571428571]
Mean Accuracy: 97.619%
4_folds
Scores: [100.0, 100.0, 95.23809523809523, 95.23809523809523]
Mean Accuracy: 97.619%
5_folds
Scores: [100.0, 100.0, 100.0, 94.11764705882352, 94.11764705882352]
Mean Accuracy: 97.647%
6_folds
Scores: [96.42857142857143, 96.42857142857143, 92.85714285714286, 100.0, 100.0, 100.0]
Mean Accuracy: 97.619%
7_folds
Scores: [100.0, 91.66666666666666, 100.0, 100.0, 100.0, 95.83333333333334, 95.83333333333334]
Mean Accuracy: 97.619%
8_folds
Scores: [100.0, 100.0, 95.23809523809523, 95.23809523809523, 100.0, 100.0, 90.47619047619048, 100.0]
Mean Accuracy: 97.619%
9_folds
Scores: [94.44444444444444, 100.0, 100.0, 100.0, 94.44444444444444, 100.0, 100.0, 100.0, 100.0]
Mean Accuracy: 98.765%
10_folds
Scores: [100.0, 100.0, 100.0, 100.0, 94.11764705882352, 100.0, 94.11764705882352, 94.11764705882352, 100.0, 94.11764705882352]
Mean Accuracy: 97.647%
11_folds
Scores: [100.0, 93.33333333333333, 100.0, 93.33333333333333, 100.0, 100.0, 100.0, 100.0, 93.33333333333333, 93.33333333333333, 100.0]
Mean Accuracy: 97.576%
12_folds
Scores: [100.0, 100.0, 100.0, 100.0, 100.0, 92.85714285714286, 100.0, 100.0, 92.85714285714286, 100.0, 92.85714285714286, 92.85714285714286]
Mean Accuracy: 97.619%
13_folds
Scores: [92.3076923076923, 100.0, 100.0, 100.0, 100.0, 100.0, 92.3076923076923, 92.3076923076923, 100.0, 92.3076923076923, 100.0, 100.0, 100.0]
Mean Accuracy: 97.633%
14_folds
Scores: [100.0, 100.0, 91.66666666666666, 100.0, 100.0, 91.66666666666666, 100.0, 100.0, 100.0, 100.0, 83.33333333333334, 100.0, 100.0, 100.0]
Mean Accuracy: 97.619%
15_folds
Scores: [100.0, 90.9090909090909, 100.0, 100.0, 90.9090909090909, 81.81818181818183, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]
Mean Accuracy: 97.576%
16_folds
Scores: [100.0, 90.0, 100.0, 100.0, 90.0, 90.0, 100.0, 100.0, 100.0, 90.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]
Mean Accuracy: 97.500%
17_folds
Scores: [100.0, 90.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 80.0, 100.0, 100.0, 100.0, 100.0, 90.0]
Mean Accuracy: 97.647%
18_folds
Scores: [88.88888888888889, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 88.88888888888889, 88.88888888888889, 100.0, 88.88888888888889, 100.0, 100.0]
Mean Accuracy: 97.531%
19_folds
Scores: [100.0, 100.0, 100.0, 87.5, 87.5, 100.0, 100.0, 87.5, 100.0, 100.0, 100.0, 100.0, 87.5, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]
Mean Accuracy: 97.368%
MLP:
n_folds = 5
l_rate = 0.3
n_epoch = 500
n_hidden = 5
Scores: [97.05882352941177, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 98.235%
n_epoch = 5000
Scores: [97.05882352941177, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 98.235%
n_epoch = 200
Scores: [97.05882352941177, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 98.235%
n_epoch = 20
Scores: [100.0, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 98.824%
n_epoch = 10
Scores: [52.94117647058824, 44.11764705882353, 94.11764705882352, 38.23529411764706, 97.05882352941177]
Mean Accuracy: 65.294%
n_epoch = 15
Scores: [52.94117647058824, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 89.412%
n_epoch = 18
Scores: [94.11764705882352, 82.35294117647058, 100.0, 97.05882352941177, 97.05882352941177]
Mean Accuracy: 94.118%
n_epoch = 19
Scores: [94.11764705882352, 100.0, 100.0, 100.0, 97.05882352941177]
Mean Accuracy: 98.235%
l_rate = 0.4
Scores: [97.05882352941177, 100.0, 100.0, 100.0, 97.05882352941177]
Mean Accuracy: 98.824%
n_hidden = 8
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
Logistic Regression
n_epoch = 100
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
n_epoch = 10
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
n_epoch = 9
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
n_epoch = 5
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
n_epoch = 2
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
n_epoch = 1
Scores: [97.05882352941177, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 98.235%
n_folds=2
Scores: [97.6470588235294, 97.6470588235294]
Mean Accuracy: 97.647%
n_folds=3
Scores: [96.42857142857143, 98.21428571428571, 98.21428571428571]
Mean Accuracy: 97.619%
n_folds=4
Scores: [95.23809523809523, 100.0, 97.61904761904762, 97.61904761904762]
Mean Accuracy: 97.619%
n_folds=5
Scores: [94.11764705882352, 100.0, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
n_folds=9
Scores: [94.44444444444444, 94.44444444444444, 100.0, 100.0, 100.0, 94.44444444444444, 100.0, 94.44444444444444, 100.0]
Mean Accuracy: 97.531%
Learining rate: 0.0005
Scores: [52.94117647058824, 44.11764705882353, 41.17647058823529, 38.23529411764706, 70.58823529411765]
Mean Accuracy: 49.412%
Learining rate: 0.001
Scores: [55.88235294117647, 50.0, 47.05882352941176, 50.0, 44.11764705882353]
Mean Accuracy: 49.412%
Learining rate: 0.0125
Scores: [85.29411764705883, 97.05882352941177, 88.23529411764706, 73.52941176470588, 79.41176470588235]
Mean Accuracy: 84.706%
Learining rate: 0.025
Scores: [97.05882352941177, 100.0, 97.05882352941177, 97.05882352941177, 100.0]
Mean Accuracy: 98.235%
Learining rate: 0.05
Scores: [97.05882352941177, 97.05882352941177, 100.0, 97.05882352941177, 100.0]
Mean Accuracy: 98.235%
Learining rate: 0.1
Scores: [94.11764705882352, 100.0, 100.0, 97.05882352941177, 97.05882352941177]
Mean Accuracy: 97.647%
Learining rate: 0.2
Scores: [100.0, 97.05882352941177, 100.0, 94.11764705882352, 97.05882352941177]
Mean Accuracy: 97.647%
Learining rate: 0.3
Scores: [97.05882352941177, 94.11764705882352, 100.0, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
Learining rate: 0.4
Scores: [100.0, 94.11764705882352, 97.05882352941177, 100.0, 97.05882352941177]
Mean Accuracy: 97.647%
Learining rate: 0.5
Scores: [94.11764705882352, 100.0, 100.0, 97.05882352941177, 97.05882352941177]
Mean Accuracy: 97.647%
Learining rate: 0.6
Scores: [100.0, 97.05882352941177, 100.0, 97.05882352941177, 94.11764705882352]
Mean Accuracy: 97.647%