Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Flood Prediction and Analysis on the Relevance of Features using
  Explainable Artificial Intelligence   This paper presents flood prediction models for the state of Kerala in India
by analyzing the monthly rainfall data and applying machine learning algorithms
including Logistic Regression, K-Nearest Neighbors, Decision Trees, Random
Forests, and Support Vector Machine. Although these models have shown high
accuracy prediction of the occurrence of flood in a particular year, they do
not quantitatively and qualitatively explain the prediction decision. This
paper shows how the background features are learned that contributed to the
prediction decision and further extended to explain the inner workings with the
development of explainable artificial intelligence modules. The obtained
results have confirmed the validity of the findings uncovered by the explainer
modules basing on the historical flood monthly rainfall data in Kerala.

15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio