17: APPLY HistGradientBoostingClassifier

This step used:

This step was used by:

15: CALLMETHOD 'drop'
16: VAR 'fraud_flags'

Where was this step created?

                
  File "/home/circleci/project/doc/conf.py", line 571, in <module>
    create_expression_report()
  File "/home/circleci/project/doc/expression_report.py", line 51, in create_expression_report
    predictions = baskets.skb.apply(hgb, y=fraud_flags)

Estimator fitted in this step:

HistGradientBoostingClassifier(learning_rate=np.float64(0.09486832980505142))

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Output of this step

	fraud_flag
0	0
1	0
2	0
3	0
4	0

61236	0
61237	0
61238	0
61239	0
61240	0

Column	Column name	dtype	Null values	Unique values	Mean	Std	Min	Median	Max
0	fraud_flag	Int64DType	0 (0.0%)	2 (< 0.1%)	0.00263	0.0512	0	0	1

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