maitelizarraga/rea-knn

Model Trained Using AutoTrain

• Problem type: Tabular regression

Validation Metrics

• r2: 0.4161997019836754
• mse: 1507403520.3284101
• mae: 29120.68408236499
• rmse: 38825.29485178973
• rmsle: 0.18675257705362744
• loss: 38825.29485178973

Best Params

• n_neighbors: 3
• weights: distance
• algorithm: ball_tree
• leaf_size: 77
• p: 2
• metric: manhattan

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]

predictions = model.predict(data)  # or model.predict_proba(data)

# predictions can be converted to original labels using label_encoders.pkl