from mit_d3m import load_dataset
dataset = load_dataset('4550_MiceProtein')
X = dataset.X
y = dataset.y
context = dataset.context
1.0
mlprimitives.preprocessing.ClassEncoder
featuretools.dfs
sklearn.preprocessing.Imputer
sklearn.preprocessing.StandardScaler
xgboost.XGBClassifier
mlprimitives.preprocessing.ClassDecoder
mlprimitives.preprocessing.ClassEncoder#1
featuretools.dfs#1
"max_depth": 2
"encode": true
"remove_low_information": false
sklearn.preprocessing.Imputer#1
"missing_values": NaN
"axis": 0
"copy": true
"strategy": mean
sklearn.preprocessing.StandardScaler#1
"with_mean": true
"with_std": false
xgboost.XGBClassifier#1
"n_jobs": -1
"n_estimators": 622
"max_depth": 3
"learning_rate": 0.264779349195429
"gamma": 0.6480623858537286
"min_child_weight": 5
mlprimitives.preprocessing.ClassDecoder#1
| ColIndex | ColName | ColType | Role |
|---|