Kaggle competition: Plant Pathology 2020 - FGVC7
<categorify><EOS> 
import pandas as pd
<SOS> metric: MCAUC Kaggle data source: plant-pathology-2020-fgvc7<train_model>
import pandas as pd
train, validation = train_validation(df )<define_variables>
sub = pd.read_csv('.. /input/plant-pathology-2020-fgvc7/sample_submission.csv')
 sub1 = pd.read_csv('.. /input/plant-best-sub/resources/submission1.csv')
 sub2 = pd.read_csv('.. /input/plant-best-sub/resources/submission2.csv')
 sub3 = pd.read_csv('.. /input/plant-best-sub/resources/submission3.csv')
 sub.healthy =(sub1.healthy + sub2.healthy + sub3.healthy)/3
sub.multiple_diseases =(sub1.multiple_diseases + sub2.multiple_diseases + sub3.multiple_diseases)/3
sub.rust =(sub1.rust + sub2.rust + sub3.rust)/3
sub.scab =(sub1.scab + sub2.scab + sub3.scab)/3
train_weights =(1/train['teamSize'])
 validation_weights =(1/validation['teamSize'] )<prepare_x_and_y>
sub.to_csv('submission.csv', index=False )
<train_model><EOS> 
sub.to_csv('submission.csv', index=False )