Note
Click here to download the full example code
This script demonstrate how to access the eval metrics
import os
import xgboost as xgb
CURRENT_DIR = os.path.dirname(__file__)
dtrain = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.train'))
dtest = xgb.DMatrix(os.path.join(CURRENT_DIR, '../data/agaricus.txt.test'))
param = [('max_depth', 2), ('objective', 'binary:logistic'), ('eval_metric', 'logloss'), ('eval_metric', 'error')]
num_round = 2
watchlist = [(dtest,'eval'), (dtrain,'train')]
evals_result = {}
bst = xgb.train(param, dtrain, num_round, watchlist, evals_result=evals_result)
print('Access logloss metric directly from evals_result:')
print(evals_result['eval']['logloss'])
print('')
print('Access metrics through a loop:')
for e_name, e_mtrs in evals_result.items():
print('- {}'.format(e_name))
for e_mtr_name, e_mtr_vals in e_mtrs.items():
print(' - {}'.format(e_mtr_name))
print(' - {}'.format(e_mtr_vals))
print('')
print('Access complete dictionary:')
print(evals_result)
Total running time of the script: ( 0 minutes 0.000 seconds)