  Even though the original Kepler mission ended due to mechanical failures, the
Kepler satellite continues to collect data. Using classification models, we can
understand the features exoplanets possess and then use those features to
investigate further for any more information on the candidate planet. Based on
the classification model, the idea is to find out the probability of the planet
under observation being a candidate for an exoplanet or a false positive. If
the model predicts that the observation is a candidate for being an exoplanet,
then the further investigation can be conducted. From the model, we can narrow
down the features that might explain the difference between a candidate and a
false-positive which ultimately helps us to increase the efficiency of any
model and fine-tune the model and ultimately the process of searching for any
future exoplanets. The model comparison is supported by McNemar's test for
checking significance.
