For a pole vaulter, it is very important to begin the approach run at the best possible starting mark. This is affected by numerous factors and requires fine-tuning in practice. But there is a guideline that will help a beginning vaulter start at approximately the right location for the so-called "three-step approach," based on the vaulter's body height.

This guideline was taught to me in feet and inches, but due to the international nature of Codewars, I am creating this kata to use metric units instead.

You are given the following two guidelines to begin with:
(1) A vaulter with a height of 1.52 meters should start at 9.45 meters on the runway.
(2) A vaulter with a height of 1.83 meters should start at 10.67 meters on the runway.

You will receive a vaulter's height in meters (which will always lie in a range between a minimum of 1.22 meters and a maximum of 2.13 meters). Your job is to return the best starting mark in meters, rounded to two decimal places.

Hint: Based on the two guidelines given above, you will want to account for the change in starting mark per change in body height. This involves a linear relationship. But there is also a constant offset involved. If you can determine the rate of change described above, you should be able to determine that constant offset.

```python

USER_FILENAME = "<user_code>"
import sys, json, builtins
import math, heapq, bisect, itertools, functools, collections, statistics, fractions, decimal, operator, array, random, re, string, os, pathlib
try:
    import resource as _res
except Exception:
    _res = None
from collections import Counter, defaultdict, deque, OrderedDict
from functools import lru_cache, reduce
from itertools import accumulate, permutations, combinations, product
from math import gcd, ceil, floor, sqrt
from decimal import Decimal
try:
    from typing import *
except Exception:
    pass
try:
    sys.setrecursionlimit(1_000_000)
except Exception:
    pass
try:
    import site as _site
    try:
        _sys_sites = _site.getsitepackages() if hasattr(_site, "getsitepackages") else []
        for _p in _sys_sites:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
    try:
        _usp = _site.getusersitepackages()
        if isinstance(_usp, str):
            _usp = [_usp]
        for _p in _usp:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
except Exception:
    pass

def _disabled_input(*args, **kwargs):
    raise RuntimeError("input() is disabled in callable mode")
builtins.input = _disabled_input

ns = {"__name__": "__judge__"}  # prevent if __name__ == "__main__" blocks
for _k, _v in list(globals().items()):
    if not _k.startswith("_"):
        ns[_k] = _v
_CODE = 'import numpy as np\nfrom sklearn.linear_model import LinearRegression\n\ndef starting_mark(h):\n    \n    X, Y = np.array([1.52, 1.83]).reshape(-1, 1), np.array([9.45, 10.67])\n    model = LinearRegression().fit(X, Y)\n    theta0 = model.intercept_\n    theta1 = model.coef_\n    \n    return round(theta0.item() +theta1.item() *h, 2)\n\n'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'starting_mark'
if _fn_name:
    if "Solution" in ns:
        try:
            _obj = ns["Solution"]()
            if hasattr(_obj, _fn_name):
                _target = getattr(_obj, _fn_name)
        except Exception:
            _target = None
    if _target is None and _fn_name in ns and callable(ns[_fn_name]):
        _target = ns[_fn_name]
# Fallback: if there's exactly one user-defined function, use it
if _target is None:
    _cands = [v for k, v in ns.items() if callable(v) and getattr(v, "__module__", "") in ("__judge__", "__main__")]
    _user_funcs = [c for c in _cands if getattr(c, "__name__", "").startswith("_") is False]
    if len(_user_funcs) == 1:
        _target = _user_funcs[0]
if _target is None:
    raise RuntimeError(f"Could not resolve callable '{_fn_name}'")

_raw = sys.stdin.read().strip()
if _raw:
    _parsed = json.loads(_raw)
    if isinstance(_parsed, dict):
        _kwargs = _parsed.get("kwargs", {})
        _args = _parsed.get("args", [])
    else:
        _args, _kwargs = _parsed, {}
else:
    _args, _kwargs = [], {}
if not isinstance(_args, (list, tuple)):
    _args = [_args]
_res = _target(*_args, **_kwargs)
try:
    sys.stdout.write(repr(_res) + "\n")
except Exception:
    pass

```

Measured memory_bytes: