abhishek/autotrain-iris-logistic-regression

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 9705273
• CO2 Emissions (in grams): 0.0006300767567816624

Validation Metrics

• Loss: 0.15987505325856152
• Accuracy: 0.9
• Macro F1: 0.899749373433584
• Micro F1: 0.9
• Weighted F1: 0.8997493734335841
• Macro Precision: 0.9023569023569024
• Micro Precision: 0.9
• Weighted Precision: 0.9023569023569025
• Macro Recall: 0.9
• Micro Recall: 0.9
• Weighted Recall: 0.9

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)