title "ROC Curve for the Validation Data Set"; plot _SENSIT_*_1MSPEC_ _1MSPEC_*_1MSPEC_ / overlay vaxis=axis haxis=axis; run;quit; 注:最理想的情况是黑线与左边和上边的线重叠。如果黑线与cutoff重叠,那么也就是说预测概率为0.5,是最差的,等于没做。黑线下的面积就是C统计量。 注:P不是总体...
AUC(Area Under the Curve)是一种用于评估分类模型性能的指标,它表示ROC曲线下的面积。在SAS中,可以使用PROC LOGISTIC和PROC PLM来计算AUC。 以下是一个使用SAS计算AUC的示例: 1. 首先,我们需要准备数据。假设我们有一个数据集`data_example`,其中包含两个变量:`y`(目标变量,0或1)和`x`(预测概率)。 2. ...
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?A. Scoredata=valid1 out=roc;...
Learn how to compare models using misclassification, area under the curve (ROC) charts, and lift charts with validation data. In part 6 and part 7 of this series we fit a logistic regression Read More English Programming Tips Melodie RushFebruary 27, 2024 Getting Started with Python ...
sas实例
from sklearn.metrics import accuracy_score, auc, confusion_matrix, f1_score, precision_score, recall_score, roc_curve import prettytable import pydotplus import matplotlib.pyplot as plt二:数据准备 raw_data=np.loadtxt(‘data_code/classification.csv’,delimiter=’,’,skiprows=1) ...
This repository provides XML code examples that use SAS Event Stream Processing to process real-time streaming data. - sassoftware/esp-studio-examples
ROC Hard? No, ROC Made Easy! Paper 223-2010: LaSelva, Gwen D. Aggregation without Aggravation: Determining Spatial Contiguity and Joining Geographic Areas Using Hashing Paper 224-2010: Lynn, Chris The Options You Must Understand to Effectively Publish an ITRM Enterprise Guide Report to a SAS...
The ROC curve (and various other output) aren't always showing up when I open the results to the model comparison node. Instead I only get Fit Statistics and Output. Occasionally it shows up, but I can't seem to figure out why it does in some diagrams/flows but not in ot...
Legacy System -Many banks have been using SAS for last 20-30 years and they have automated the whole process of analysis and have written millions of lines of working code. To convert all the stable reporting system from SAS to R/Python, it may require significant additional cost. ...