# Homework 2 Part 2 - Classification - Late — Data

来源：https://www.kaggle.com/competitions/f19-homework-2-part-2-classification-late/data

采集时间：2026-10-20T10:07:48Z

The data is the same as used in the original competition: https://www.kaggle.com/c/11785-f19-hw2p2-classification/data
As mentioned in the part 2 handout, the
score.py
utility is:
from sklearn.metrics import roc_auc_score
import sys
import pandas as pd

def get_auc(y_true, y_score):
    auc = roc_auc_score(y_true, y_score)
    return auc

if __name__ == '__main__':
    args = sys.argv[1:]
    if len(args) < 2:
        print "python score.py
"
        exit()
    score_csv = args[0]
    label_csv = args[1]
    y_score = pd.read_csv(score_csv).score.values
    y_true = pd.read_csv(label_csv).score.values
    auc = get_auc(y_true, y_score)
    print "AUC: ", auc