Kaggle competition: SIIM-ISIC Melanoma Classification
<SOS> metric: MCAUC Kaggle data source: siim-isic-melanoma-classification<train_model>
import numpy as np
import pandas as pd
train4Display = np.array(train_imagesKaggle ).reshape(42000,28,28)
 test4Display = np.array(test_imagesKaggle ).reshape(28000,28,28)
 z = 4056
print("train image")
 print(train_labelsKaggle[z])
 digit = train4Display[z]
plt.imshow(digit, cmap=plt.cm.binary)
 plt.show()
print("test image")
 digit = test4Display[z]
plt.imshow(digit, cmap=plt.cm.binary)
 plt.show() 
<categorify>
public_sub_mean_9533 = pd.read_csv('.. /input/public-submission-melanoma-95/submission_mean.csv')
 public_sub_median_9533 = pd.read_csv('.. /input/public-submission-melanoma-95/submission_median.csv')
 public_sub_meta_ens_9577 = pd.read_csv('.. /input/public-submission-melanoma-95/external_meta_ensembled.csv')
 public_sub_9581 = pd.read_csv('.. /input/public-submission-melanoma-95/submission_9581.csv')
 public_sub_tabular = pd.read_csv('.. /input/public-submission-melanoma-95/submission_tabular_only.csv')
 public_sub_9619 = pd.read_csv('.. /input/public-submission-melanoma-95/submission_9619.csv')
 public_sub_9606 = pd.read_csv('.. /input/public-submission-melanoma-95/submission_9606.csv')
 public_sub_9603 = pd.read_csv('.. /input/public-submission-melanoma-95/submission_9603.csv')
 sub = pd.read_csv('.. /input/siim-isic-melanoma-classification/sample_submission.csv' )
train_imagesKaggle = train4Display.reshape(42000,28,28,1)
 test_imagesKaggle = test4Display.reshape(28000,28,28,1)
 train_imagesKaggle = train_imagesKaggle.astype('float32')/ 255
test_imagesKaggle = test_imagesKaggle.astype('float32')/ 255
print("train_imagesKaggle ",train_imagesKaggle.shape)
 print("test_imagesKaggle ", test_imagesKaggle.shape)
 print("_"*50)
 train_labelsKaggle = to_categorical(train_labelsKaggle)
 print("train_labelsKaggle ",train_labelsKaggle.shape )<load_pretrained>
sub.target =(public_sub_9619.target * 0.35 +
public_sub_9606.target *0.35 +
public_sub_tabular.target * 0.30 )
<categorify><EOS> 
sub.head()
sub.to_csv('submission.csv', index = False )