Created
April 7, 2017 21:48
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SVM - RBF (Training Split) | |
80 20 0.767857142857 - 29, 195 | |
70 30 0.797619047619 - 25, 171 | |
60 40 0.830357142857 - 23, 145 | |
50 50 0.814285714286 - 16, 124 | |
------------------------------------ | |
80 - 20 | |
4 depth Decision Tree 0.785714285714 | |
K Neighbors Classifier 0.785714285714 | |
SVM - RBF 0.767857142857 | |
Ensemble 0.785714285714 | |
60 - 40 | |
4 depth Decision Tree 0.821428571429 | |
K Neighbors Classifier 0.848214285714 | |
SVM - RBF 0.830357142857 | |
Ensemble 0.794642857143 | |
50 - 50 | |
4 depth Decision Tree 0.785714285714 | |
K Neighbors Classifier 0.814285714286 | |
SVM - RBF 0.814285714286 | |
Ensemble 0.814285714286 | |
40 - 60 | |
4 depth Decision Tree 0.833333333333 | |
K Neighbors Classifier 0.821428571429 | |
SVM - RBF 0.821428571429 | |
Ensemble 0.821428571429 | |
30 - 70 | |
4 depth Decision Tree 0.780612244898 | |
K Neighbors Classifier 0.841836734694 | |
SVM - RBF 0.841836734694 | |
Ensemble 0.80612244898 | |
20 - 80 | |
4 depth Decision Tree 0.75 | |
K Neighbors Classifier 0.852678571429 | |
SVM - RBF 0.857142857143 | |
Ensemble 0.736607142857 | |
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