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Get Started Free →datadrivenconstruction/duration-prediction
Predict project duration using k-NN and regression. Estimate timeline based on similar historical projects.
Passed 22 of 23 test cases with the skill, and 8 of 23 without it.
and 14 more in the full report
14 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the assigned weight for the size in square feet attribute in the feature weighting dictionary?
| Checked | Without skill | With skill |
|---|---|---|
| assigns size_sf a weight of 0.30 | Missed | Passed |
The instructions your model reads when the skill loads.
Project duration estimation challenges:
Machine learning-based duration prediction using k-Nearest Neighbors and regression models trained on historical project data.
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, field
from datetime import date
from enum import Enum
import math
class ModelType(Enum):
KNN = "knn"
LINEAR_REGRESSION = "linear_regression"
WEIGHTED_KNN = "weighted_knn"
class ProjectType(Enum):
OFFICE = "office"
RESIDENTIAL = "residential"
INDUSTRIAL = "industrial"
RETAIL = "retail"
HEALTHCARE = "healthcare"
EDUCATION = "education"
test cases passed, vs 8 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.