open
Armed Conflict Location & Event Data Project (ACLED)
pip install mit-d3m
from mit_d3m import load_dataset
dataset = load_dataset('LL0_acled')
X = dataset.X
y = dataset.y
context = dataset.context
0.8720366503140708
mlprimitives.preprocessing.ClassEncoder
featuretools.dfs
sklearn.preprocessing.Imputer
sklearn.preprocessing.StandardScaler
xgboost.XGBClassifier
mlprimitives.preprocessing.ClassDecoder
mlprimitives.preprocessing.ClassEncoder#1
featuretools.dfs#1
"encode": true
"max_depth": 3
"remove_low_information": false
sklearn.preprocessing.Imputer#1
"missing_values": NaN
"axis": 0
"copy": true
"strategy": median
sklearn.preprocessing.StandardScaler#1
"with_mean": false
"with_std": true
xgboost.XGBClassifier#1
"n_jobs": -1
"n_estimators": 193
"max_depth": 5
"learning_rate": 0.22666529624389375
"gamma": 0.029810069403982342
"min_child_weight": 2
mlprimitives.preprocessing.ClassDecoder#1
| ColIndex | ColName | ColType | Role |
|---|