Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Time Series Analysis and Forecasting of the US Housing Starts using
  Econometric and Machine Learning Model   In this research paper, I have performed time series analysis and forecasted
the monthly value of housing starts for the year 2019 using several econometric
methods - ARIMA(X), VARX, (G)ARCH and machine learning algorithms - artificial
neural networks, ridge regression, K-Nearest Neighbors, and support vector
regression, and created an ensemble model. The ensemble model stacks the
predictions from various individual models, and gives a weighted average of all
predictions. The analyses suggest that the ensemble model has performed the
best among all the models as the prediction errors are the lowest, while the
econometric models have higher error rates.

28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat