What does python ckdtree distance signifies when used with latitude and longitude data frames

Question

I have two data frames with latitude and longitude coordinates.

gdf1

identifier                              geometry
0600a7c7-0c0f-411e-8077-bab184eec25e    POINT(93.9000024.30000)
750df075-33f1-491a-b33c-94fa37567925    POINT(90.8000025.50000)
fec7e5fa-5eb8-429a-b052-757a85ca878c    POINT(76.7933030.73430)
5339b76b-96be-4669-8772-7cea8588c9ee    POINT(92.6000024.20000)
daab354b-160e-4995-9a09-ab6c288bc8af    POINT(88.4000027.20000)
73220777-0343-410e-b0f0-4e90ebd77b14    POINT(93.9000024.70000)
216dd627-20f6-480f-a0e3-9b7a1dfb8788    POINT(76.7889030.73390)
c329d75e-0a4f-43f0-af92-333a7da37c25    POINT(94.0918125.71356)
7da0545d-ddd3-4cc1-a81c-e51b35ec1fdf    POINT(91.8000025.50000)
8c323607-bd9d-42e8-9ee4-dacc72eda5ce    POINT(73.045618.27274)

gdf2

id      geometry
12113   POINT(72.8257318.93909)
12114   POINT(72.8247518.93252)
12115   POINT(73.0266719.04234)
12116   POINT(73.7065118.67469)

I am using Scipy ckdTree function to find the nearest id from gdf2 for each row in gdf1.

I am using the following function:

import itertools
from operator import itemgetter
import numpy as np
from scipy.spatial import cKDTree
from shapely.geometry import Point, LineString

def ckdnearest(gdfA, gdfB, gdfB_cols=['id']):
        gdfA = gdfA.reset_index(drop=True)
        gdfB = gdfB.reset_index(drop=True)
        A = np.concatenate([np.array(geom.coords) for geom in gdfA.geometry.to_list()])
        B = [np.array(geom.coords) for geom in gdfB.geometry.to_list()]
        B_ix = tuple(itertools.chain.from_iterable([itertools.repeat(i, x) for i, x in enumerate(list(map(len, B)))]))
        B = np.concatenate(B)
        ckd_tree = cKDTree(B)
        dist, idx = ckd_tree.query(A, k=1)
        idx = itemgetter(*idx)(B_ix)
        gdf = pd.concat([gdfA, gdfB.loc[idx, gdfB_cols].reset_index(drop=True),pd.Series(dist, name='dist')], axis=1)
        return gdf


nn = ckdnearest(gdf1, gdf2)
print(nn)

The data frame nn prints the following:

Output df:

identifier                              geometry                id      dist
0600a7c7-0c0f-411e-8077-bab184eec25e    POINT(93.9000024.30000) 12116   20.962381
750df075-33f1-491a-b33c-94fa37567925    POINT(90.8000025.50000) 12116   18.405773
fec7e5fa-5eb8-429a-b052-757a85ca878c    POINT(76.7933030.73430) 12115   12.283708
5339b76b-96be-4669-8772-7cea8588c9ee    POINT(92.6000024.20000) 12116   19.684848
daab354b-160e-4995-9a09-ab6c288bc8af    POINT(88.4000027.20000) 12116   16.987636
73220777-0343-410e-b0f0-4e90ebd77b14    POINT(93.9000024.70000) 12116   21.073245
216dd627-20f6-480f-a0e3-9b7a1dfb8788    POINT(76.7889030.73390) 12115   12.281979
c329d75e-0a4f-43f0-af92-333a7da37c25    POINT(94.0918125.71356) 12116   21.566323
7da0545d-ddd3-4cc1-a81c-e51b35ec1fdf    POINT(91.8000025.50000) 12116   19.338032
8c323607-bd9d-42e8-9ee4-dacc72eda5ce    POINT(73.045618.27274)  12116   10.42292

The question is, what metric does the distance in output df signifies. Is it in meters, kilometres or in some other distance format. Can I convert this into distance in meters.