基于AutoTrain训练的美国房价单变量回归模型，R²达0.922，支持高效房价预测，提供简洁调用代码，助力房地产数据分析与估值。【此简介由AI生成】
| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
| 3 年前 | ||
| 3 年前 | ||
config.jsonLFS | 3 年前 | |
model.joblibLFS | 3 年前 |
tags:
- autotrain
- tabular
- regression
- tabular-regression datasets:
- jwan2021/autotrain-data-us-housing-prices co2_eq_emissions: emissions: 0.12978708384729631
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 1771761513
- CO2 Emissions (in grams): 0.1298
Validation Metrics
- Loss: 100581.032
- R2: 0.922
- MSE: 10116543945.030
- MAE: 81586.656
- RMSLE: 0.101
Usage
import json
import joblib
import pandas as pd
model = joblib.load('model.joblib')
config = json.load(open('config.json'))
features = config['features']
# data = pd.read_csv("data.csv")
data = data[features]
data.columns = ["feat_" + str(col) for col in data.columns]
predictions = model.predict(data) # or model.predict_proba(data)