Test Gradient Boosting
Test Gradient Boosting

In my testing to date, the best paramters for the Gradient Boosting
algorithm are:
loss='deviance', n_estimators=100, learning_rate=0.1, max_depth=3,
random_state=None, max_leaf_nodes=None

These lead to the following results for the blind data:
Optimized facies classification accuracy = 0.51
Optimized adjacent facies classification accuracy = 0.96

esa-as/2016-ml-contest,esa-as/2016-ml-contest,seg/2016-ml-contest,seg/2016-ml-contest,seg/2016-ml-contest,esa-as/2016-ml-contest,seg/2016-ml-contest