fraud_flag | |
---|---|
0 | 0 |
1 | 0 |
2 | 0 |
3 | 0 |
4 | 0 |
995 | 0 |
996 | 0 |
997 | 0 |
998 | 0 |
999 | 0 |
fraud_flag
Int64DType- Null values
- 0 (0.0%)
- Unique values
- 2 (0.2%)
- Mean ± Std
- 0.0120 ± 0.109
- Median ± IQR
- 0 ± 0
- Min | Max
- 0 | 1
File "<ipython-input-9-34e4c9884a14>", line 1, in <module>
predictions = features.skb.apply(ExtraTreesClassifier(n_jobs=-1), y=y)
ExtraTreesClassifier(n_jobs=-1)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
ExtraTreesClassifier(n_jobs=-1)
fraud_flag | |
---|---|
0 | 0 |
1 | 0 |
2 | 0 |
3 | 0 |
4 | 0 |
995 | 0 |
996 | 0 |
997 | 0 |
998 | 0 |
999 | 0 |
No columns match the selected filter: . You can change the column filter in the dropdown menu above.
Column | Column name | dtype | Is sorted | Null values | Unique values | Mean | Std | Min | Median | Max |
---|---|---|---|---|---|---|---|---|---|---|
0 | fraud_flag | Int64DType | False | 0 (0.0%) | 2 (0.2%) | 0.0120 | 0.109 | 0 | 0 | 1 |
No columns match the selected filter: . You can change the column filter in the dropdown menu above.
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