# Fall 2018 STAT 441/841 and CM 763 Data Challenge 2 — Data

来源：https://www.kaggle.com/competitions/fall-2018-stat-441841-data-challenge-2/data

采集时间：2026-10-19T19:11:57Z

There are 12 measures, but 54 columns of data
				(10 quantitative variables, 4 binary
				wilderness areas and 40 binary
				soil type variables)
   You should develop a classification model based on the training set and use that model to make predictions for the test set. Then organize your predictions in the same format with the
   sample_submission file and submit.
Be aware that each account can only make 3 submissions per day so start early is an advantage. The score you see on public leader board is based on ~30% percent of test set so it might be slightly different from the final result.
File descriptions
train.csv
- the training set
test.csv
- the test set
sample_submission.csv
- a sample submission file in the correct format
Forest CoverType
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