逻辑回归 修改参数解决样本数据不均衡的问题_逻辑回归 使用均衡样本采样后 回归常数项要矫正

逻辑回归参数：

下面会用到修改权重：

建立混沌矩阵：

import pandas as pd
#接下来就是如何算4个指标 fp tp fn tn

# 假正类（False Positive，FP）：将负类预测为正类
fp_filter = (predictions == 1) & (loans["loan_status"] == 0)
fp = len(predictions[fp_filter])
print(fp)
print("----------------------------------------")


# 真正类（True Positive，TP）：将正类预测为正类
tp_filter = (predictions == 1) & (loans["loan_status"] == 1)
tp = len(predictions[tp_filter])
print(tp)
print("----------------------------------------")


# 假负类（False Negative，FN）：将正类预测为负类
fn_filter = (predictions == 0) & (loans["loan_status"] == 1)
fn = len(predictions[fn_filter])
print(fn)
print("----------------------------------------")

# 真负类（True Negative，TN）：将负类预测为负类
tn_filter = (predictions == 0) & (loans["loan_status"
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