ECE 8527: Final Exam - Results of the Final Exam Data Challenge (Set 08)

The data set for this challenge can be found here. Note that random guessing yields an error rate of 33.33%.

Participant	Algorithm	Train	Dev	Eval
SPRING 2021
Shawki, Nabila (2021 Spring)	Scikit: K Nearest Neighbors (KNN)	23.48%	26.62%	64.18%
Shawki, Nabila (2021 Spring)	Scikit: Random Forests (RNF)	29.23%	29.45%	59.77%
Shawki, Nabila (2021 Spring)	PyTorch: Multilayer Perceptron (MLP)	32.56%	32.29%	56.39%
Cap, Thao (2021 Spring)	SkLearn: K Nearest Neighbors (KNN)	25.39%	25.62%	67.32%
Cap, Thao (2021 Spring)	SkLearn: Multilayer Perceptron (MLP)	26.29%	26.35%	67.07%
Chowdhury, Waqeeb (2021 Spring)	MATLAB: K Nearest Neighbors (KNN)	25.71%	25.19%	64.48%
Chowdhury, Waqeeb (2021 Spring)	TensorFlow: Multilayer Perceptron (MLP)	27.12%	27.07%	62.06%
Paz Amaya, Jose (2021 Spring)	Scikit: K Nearest Neighbor (KNN)	25.35%	25.81%	64.30%
Paz Amaya, Jose (2021 Spring)	Keras: Multilayer Perceptron (MLP)	28.79%	28.88%	62.64%
Pavel, Saidur (2021 Spring)	Scikit: K Nearest Neighbor (KNN)	25.38%	25.72%	64.37%
Pavel, Saidur (2021 Spring)	TensorFlow: Multilayer Perceptron (MLP)	27.20%	27.10%	62.17%
Rodriguez, Renato (2021 Spring)	Scikit: Random Forests (RNF)	00.18%	29.03%	63.36%
Rodriguez, Renato (2021 Spring)	TensorFlow: Multilayer Perceptron (MLP)	27.44%%	27.40%	61.59%