#?First?XGBoost?model?for?Pima?Indians?dataset
from?numpy?import?loadtxt
from?xgboost?import?XGBClassifier
from?sklearn.model_selection?import?train_test_split
from?sklearn.metrics?import?accuracy_score
#?load?data
dataset?=?loadtxt（‘pima-indians-diabetes.csv‘?delimiter=““）
#?split?data?into?X?and?y
X?=?dataset[:0:8]
Y?=?dataset[:8]
#?split?data?into?train?and?test?sets
seed?=?7
test_size?=?0.33
X_train?X_test?y_train?y_test?=?train_test_split（X?Y?test_size=test_size?random_state=seed）
#?fit?model?on?training?data
model?=?XGBClassifier（）
model.fit（X_train?y_train）
#?make?predictions?for?test?data
y_pred?=?model.predict（X_test）
predictions?=?[round（value）?for?value?in?y_pred]
#?evaluate?predictions
accuracy?=?accuracy_score（y_test?predictions）
print（“Accuracy:?%.2f%%“?%?（accuracy?*?100.0））

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????文件?????1236043??2017-12-04?00:19??xgboost_with_python.pdf
?????目錄???????????0??2017-12-04?00:19??code\
?????目錄???????????0??2017-12-04?00:19??code\chapter_08\
?????文件???????23279??2017-12-04?00:19??code\chapter_08\pima-indians-diabetes.csv
?????文件????????1120??2017-12-04?00:19??code\chapter_08\serialize_with_joblib.py
?????文件????????1121??2017-12-04?00:19??code\chapter_08\serialize_with_pickle.py
?????目錄???????????0??2017-12-04?00:19??code\chapter_06\
?????文件?????????578??2017-12-04?00:19??code\chapter_06\stratified_cross_validation.py
?????文件???????23279??2017-12-04?00:19??code\chapter_06\pima-indians-diabetes.csv
?????文件?????????777??2017-12-04?00:19??code\chapter_06\train_test_split.py
?????文件?????????547??2017-12-04?00:19??code\chapter_06\cross_validation.py
?????目錄???????????0??2017-12-04?00:19??code\chapter_07\
?????文件?????????422??2017-12-04?00:19??code\chapter_07\plot_tree-left-to-right.py
?????文件?????????395??2017-12-04?00:19??code\chapter_07\plot_tree.py
?????文件???????23279??2017-12-04?00:19??code\chapter_07\pima-indians-diabetes.csv
?????目錄???????????0??2017-12-04?00:19??code\chapter_09\
?????文件????????1518??2017-12-04?00:19??code\chapter_09\feature_selection.py
?????文件?????????443??2017-12-04?00:19??code\chapter_09\automatic_feature_importance.py
?????文件???????23279??2017-12-04?00:19??code\chapter_09\pima-indians-diabetes.csv
?????文件?????????484??2017-12-04?00:19??code\chapter_09\manual_feature_importance.py
?????目錄???????????0??2017-12-04?00:19??code\chapter_14\
?????文件????????1630??2017-12-04?00:19??code\chapter_14\tune_num_trees_and_depth.py
?????文件????????1408??2017-12-04?00:19??code\chapter_14\tune_trees.py
?????文件????????1409??2017-12-04?00:19??code\chapter_14\tune_depth.py
?????目錄???????????0??2017-12-04?00:19??code\chapter_15\
?????文件????????1658??2017-12-04?00:19??code\chapter_15\tune_learning_rate_and_num_trees.py
?????文件?????????343??2017-12-04?00:19??code\chapter_15\plot_performance.py
?????文件????????1434??2017-12-04?00:19??code\chapter_15\tune_learning_rate.py
?????目錄???????????0??2017-12-04?00:19??code\chapter_12\
?????文件?????????630??2017-12-04?00:19??code\chapter_12\check_num_threads.py
?????目錄???????????0??2017-12-04?00:19??code\chapter_05\
............此處省略23個(gè)文件信息