What are the ways to speed up the fit of the model on large files (more than 200 mb)? I tried to divide into pieces (chunks) or use dask but the effect is unsatisfactory. I use 16GB RAM and i7 2.2GHz processor 4 core. It remains to buy a cloud service or use a better computer? My clasiffier
clf = xgb.XGBClassifier(n_estimators=500,
n_jobs=4,
max_depth=9,
learning_rate=0.05,
subsample=0.7,
colsample_bytree=0.7,
missing=-999,
gamma = 0.1)
# Number of variable > 400
# Number of rows > 200000