PUBG Win prediction system
Champeon is based on a Dense Neural Network model which has accuracy rate of more than 94%. It uses Keras model running on a Tensorflow backend which is GPU accelerated. The DataSet which is used to develop the DNN model is consist of more than 4 million examples.
- Input layer with 32 units
- Hidden layer with 64 units
- Hidden layer with 64 units
- Hidden layer with 64 units
- Output layer with 1 units
Input layer and all the 3 hidden layers uses the relu activation function The output layers uses sigmoid function as activation fucntion. The model is trained for 100 epochs with average time per epochs 20sec(GPU Accelerated)
Data set is available at: DataSet
Pubg API is used to gather information about a specific user PUBG API LINK
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