Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two models of double descent for weak features   The "double descent" risk curve was proposed to qualitatively describe the
out-of-sample prediction accuracy of variably-parameterized machine learning
models. This article provides a precise mathematical analysis for the shape of
this curve in two simple data models with the least squares/least norm
predictor. Specifically, it is shown that the risk peaks when the number of
features $p$ is close to the sample size $n$, but also that the risk decreases
towards its minimum as $p$ increases beyond $n$. This behavior is contrasted
with that of "prescient" models that select features in an a priori optimal
order.

31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom