My attempt for Higgs Boson ML challenge (https://www.kaggle.com/c/higgs-boson)
Approach:
- Visualize distribution of input features
- Normalize features (after replacing UNDEF values with mean of rest of distribution)
- Experiment with different Deep Neural Networks
Step 1 - Reduce Bias & Variance by altering hyperparameters such as #Layers, #Nodes in each layer, Learning rate, Learning rate decay, Regularization, Beta
Find out F1 score (precision, recall) at each stage to make correct decision.