Neural and Non-neural Techniques for Classification Summary of Classification models Classifier Classification Accuracy (%) Test Set Comments Shallow NN 99.9% Number of neurons: 12, Architecture: 5In|5out , ,Preprocessor: PCA LSTM 98.9% Number of neurons: 33, Architecture: 5In|5out, Preprocessor: PCA, Activation: Softmax Fine Tree 98.8% Max. Number of Splits = 100, Split Criterion: Gini’s Diversity index Medium Tree 98.7% Max. Number of Splits = 20, Split Criterion: Gini’s Diversity index Coarse Tree 60.1% Max. Number of Splits = 4, Split Criterion: Gini’s Diversity index Linear Discriminant 40.9% Full Covariance Structure Quadratic Discriminant 63.6% Full Covariance Structure Linear SVM ...
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