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models_report.txt
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models_report.txt
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Logistic Regression : 0.804517 (0.045610)
--------------------------------------------------
The accuracy score that we get is: 0.875
Confusion Matrix: [[148 3]
[ 20 13]]
precision recall f1-score support
0 0.88 0.98 0.93 151
1 0.81 0.39 0.53 33
micro avg 0.88 0.88 0.88 184
macro avg 0.85 0.69 0.73 184
weighted avg 0.87 0.88 0.86 184
Total time Taken is : 0.035143000000000035
--------------------------------------------------
Neural Net: 0.757997 (0.048338)
--------------------------------------------------
The accuracy score that we get is: 0.8478260869565217
Confusion Matrix: [[147 4]
[ 24 9]]
precision recall f1-score support
0 0.86 0.97 0.91 151
1 0.69 0.27 0.39 33
micro avg 0.85 0.85 0.85 184
macro avg 0.78 0.62 0.65 184
weighted avg 0.83 0.85 0.82 184
Total time Taken is : 2.244255
--------------------------------------------------
LDA: 0.799074 (0.046679)
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The accuracy score that we get is: 0.8695652173913043
Confusion Matrix: [[144 7]
[ 17 16]]
precision recall f1-score support
0 0.89 0.95 0.92 151
1 0.70 0.48 0.57 33
micro avg 0.87 0.87 0.87 184
macro avg 0.80 0.72 0.75 184
weighted avg 0.86 0.87 0.86 184
Total time Taken is : 0.09157499999999974
--------------------------------------------------
GP Classifier: 0.790892 (0.049453)
--------------------------------------------------
The accuracy score that we get is: 0.8532608695652174
Confusion Matrix: [[146 5]
[ 22 11]]
precision recall f1-score support
0 0.87 0.97 0.92 151
1 0.69 0.33 0.45 33
micro avg 0.85 0.85 0.85 184
macro avg 0.78 0.65 0.68 184
weighted avg 0.84 0.85 0.83 184
Total time Taken is : 101.090734
--------------------------------------------------
Gaussian NB: 0.788208 (0.045521)
--------------------------------------------------
The accuracy score that we get is: 0.8641304347826086
Confusion Matrix: [[144 7]
[ 18 15]]
precision recall f1-score support
0 0.89 0.95 0.92 151
1 0.68 0.45 0.55 33
micro avg 0.86 0.86 0.86 184
macro avg 0.79 0.70 0.73 184
weighted avg 0.85 0.86 0.85 184
Total time Taken is : 0.11562899999999843
--------------------------------------------------
Hard Voting Classifier
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0.8804347826086957
precision recall f1-score support
0 0.90 0.97 0.93 151
1 0.76 0.48 0.59 33
micro avg 0.88 0.88 0.88 184
macro avg 0.83 0.73 0.76 184
weighted avg 0.87 0.88 0.87 184
Total time Taken is : 11.501634999999993
--------------------------------------------------