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XGBoost Experiment #1

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XGBoost Experiment #1

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86ae422
experimenting with the XGB
guipleite Mar 24, 2021
6f56ab0
updating requirements
guipleite Mar 24, 2021
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1 change: 1 addition & 0 deletions requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -4,3 +4,4 @@ seaborn
matplotlib
joblib
numpy
xgboost
17 changes: 3 additions & 14 deletions src/model.py
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Expand Up @@ -13,6 +13,7 @@
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import roc_curve
from sklearn.metrics import roc_auc_score
from xgboost import XGBClassifier
import matplotlib.pyplot as plt


Expand All @@ -29,20 +30,8 @@ def train(data, num_estimators, isDataFrame=False):
X, y, test_size=0.3, random_state=0
)

pipe = Pipeline(
[
("scaler", StandardScaler()),
(
"RFC",
RandomForestClassifier(
criterion="gini",
max_depth=10,
max_features="auto",
n_estimators=num_estimators,
),
),
]
)
pipe = Pipeline([('scaler', StandardScaler()), ('XGB', XGBClassifier())])


training_logs = pipe.fit(X_train, y_train)

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