11: CALLMETHOD 'drop'

This step used:

10: CALLMETHOD 'merge'

This step was used by:

13: APPLY HistGradientBoostingClassifier

Where was this step created?

                
  File "/home/jerome/workspace/scratch/2025/01/expr-presentation/fraud_skrub.py", line 25, in <module>
    X = X.merge(aggregated_products, left_on="ID", right_on="basket_ID").drop(

Output of this step

Column	Column name	dtype	Unique values	Mean	Std	Min	Median	Max
0	item_0	Float32DType	3583 (3.9%)	0.449	0.391	-1.04e-16	0.409	0.988
1	item_1	Float32DType	3579 (3.9%)	0.122	0.202	-2.44e-05	5.22e-05	0.536
2	item_2	Float32DType	3606 (3.9%)	0.0738	0.306	-0.153	0.00154	0.911
3	item_3	Float32DType	3593 (3.9%)	0.129	0.308	-0.00900	0.00131	0.999
4	item_4	Float32DType	3615 (3.9%)	0.0628	0.211	-0.00840	-0.000489	0.959
5	cash_price	Float32DType	6334 (6.8%)	863.	641.	20.8	704.	2.20e+04
6	make_0	Float32DType	2729 (2.9%)	0.560	0.425	0.00	0.500	1.00
7	make_1	Float32DType	2520 (2.7%)	0.229	0.300	-1.29e-05	2.00e-08	1.00
8	make_2	Float32DType	3057 (3.3%)	0.0714	0.242	-1.26e-07	-3.71e-11	1.00
9	make_3	Float32DType	3152 (3.4%)	0.0425	0.191	-1.13e-06	-1.12e-07	1.00
10	make_4	Float32DType	3141 (3.4%)	0.0273	0.151	-5.40e-05	-2.27e-07	1.00
11	model_0	Float32DType	11381 (12.3%)	0.214	0.263	0.00	0.0825	1.00
12	model_1	Float32DType	11452 (12.3%)	0.258	0.269	-0.0262	0.143	0.811
13	model_2	Float32DType	11451 (12.3%)	0.0422	0.249	-0.541	0.0530	0.655
14	model_3	Float32DType	11546 (12.4%)	0.0654	0.217	-0.0829	-0.00731	0.854
15	model_4	Float32DType	11486 (12.4%)	0.0720	0.206	-0.0695	0.00824	0.905
16	goods_code_0	Float32DType	12187 (13.1%)	0.119	0.203	-1.51e-08	5.12e-10	0.500
17	goods_code_1	Float32DType	17021 (18.3%)	0.153	0.259	5.69e-05	0.0272	0.900
18	goods_code_2	Float32DType	17018 (18.3%)	0.0974	0.159	-0.0113	0.00903	0.623
19	goods_code_3	Float32DType	17084 (18.4%)	0.0353	0.0904	-0.0887	0.0105	0.524
20	goods_code_4	Float32DType	17021 (18.3%)	0.00776	0.161	-0.375	-0.00111	0.766
21	Nbr_of_prod_purchas	Float32DType	170 (0.2%)	1.03	0.282	1.00	1.00	40.0

Column 1	Column 2	Cramér's V
item_1	goods_code_0	0.938
item_0	item_2	0.740
make_1	model_0	0.684
item_3	make_2	0.625
model_1	model_2	0.602
make_0	make_1	0.548
goods_code_2	goods_code_4	0.540
make_1	goods_code_0	0.537
make_0	model_0	0.529
make_2	model_4	0.527
item_1	make_1	0.503
item_0	make_0	0.501
model_0	goods_code_0	0.495
item_3	model_4	0.490
make_0	goods_code_0	0.490
item_2	model_3	0.488
item_0	model_1	0.484
item_1	model_0	0.480
item_1	make_0	0.472
model_1	goods_code_4	0.464

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	item_0	item_1	item_2	item_3	item_4	cash_price	make_0	make_1	make_2	make_3	make_4	model_0	model_1	model_2	model_3	model_4	goods_code_0	goods_code_1	goods_code_2	goods_code_3	goods_code_4	Nbr_of_prod_purchas
	item_0	item_1	item_2	item_3	item_4	cash_price	make_0	make_1	make_2	make_3	make_4	model_0	model_1	model_2	model_3	model_4	goods_code_0	goods_code_1	goods_code_2	goods_code_3	goods_code_4	Nbr_of_prod_purchas
0	0.9882413148880005	-2.4426024538115598e-05	-0.15276144444942474	0.0013054301962256432	0.00021473383822012693	889.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.08248666673898697	0.8109883069992065	-0.5407345294952393	-0.017663072794675827	0.022470692172646523	-9.597581618336903e-10	0.8996102809906006	-0.0113435173407197	-0.01964709348976612	0.008371813222765923	1.0
1	0.40892505645751953	9.8394688393455e-05	0.9109643697738647	-0.009002331644296646	-0.002758502494543791	409.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.0023703970946371555	0.0855584666132927	0.05529085546731949	0.6650562286376953	0.03614027053117752	-8.343496560314634e-09	0.08153810352087021	0.007707663346081972	0.07294385880231857	-0.006642509717494249	1.0
2	0.0001210441259900108	3.0023331419215538e-05	0.00901311356574297	0.9992326498031616	-0.002600299194455147	1399.0	1.0806103034610715e-07	8.4619199469671e-07	1.5519016072218506e-09	0.9999983310699463	-5.39734355697874e-05	0.0008999390993267298	0.04100307449698448	0.0609818771481514	-0.030578967183828354	0.4235115349292755	-8.209698892924777e-11	0.05250881612300873	0.022454867139458656	0.01849365234375	-0.0005260583129711449	1.0
3	0.69858318567276	3.69843328371644e-05	0.3791014552116394	-0.0038484507240355015	-0.001271884306333959	404.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.005487214773893356	0.2630787789821625	0.1733604520559311	0.01154104433953762	-0.027795864269137383	1.436464280857308e-09	0.04632480442523956	0.011244634166359901	0.06725224107503891	0.010327843017876148	1.0
4	0.0001210441259900108	3.0023331419215538e-05	0.00901311356574297	0.9992326498031616	-0.002600299194455147	1199.0	2.1632010316352535e-07	1.8058718964653053e-08	1.986189346325773e-07	5.1955321396235377e-05	0.9995948672294617	0.001922564348205924	0.06341758370399475	0.025771915912628174	-0.03805907815694809	0.5474603772163391	1.7057293355549064e-09	0.04717366769909859	0.003753079567104578	0.015004725195467472	0.0036942199803888798	1.0

92785	0.20446448028087616	0.49999862909317017	0.45540356636047363	-0.0045341020449995995	-0.008402030915021896	153.0	6.5100743995571975e-06	0.4999214708805084	-6.239704930521839e-08	0.4999985992908478	-2.7177649826626293e-05	0.506308913230896	-0.001967877149581909	0.014021213166415691	0.09385492652654648	0.017414530739188194	0.5	0.010950541123747826	0.0010331319645047188	0.006971206981688738	-0.000284206384094432	1.0
92786	0.9882413148880005	-2.4426024538115598e-05	-0.15276144444942474	0.0013054301962256432	0.00021473383822012693	898.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.08248666673898697	0.8109883069992065	-0.5407345294952393	-0.017663072794675827	0.022470692172646523	-9.597581618336903e-10	0.8996102809906006	-0.0113435173407197	-0.01964709348976612	0.008371813222765923	1.0
92787	0.00013671994383912534	0.02511742152273655	0.0024483739398419857	0.0013869727263227105	0.5463396906852722	575.6666870117188	2.383039827691391e-07	0.010820924304425716	0.07639520615339279	1.2134690223319922e-05	4.7184748837025836e-05	0.010353962890803814	0.008563526906073093	0.0061047873459756374	0.043927356600761414	0.014013387262821198	-2.651042718682106e-10	0.01916065625846386	0.0037033595144748688	0.05755558982491493	-0.004898164886981249	1.0
92788	0.9882413148880005	-2.4426024538115598e-05	-0.15276144444942474	0.0013054301962256432	0.00021473383822012693	1599.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.005735095590353012	0.3523600697517395	0.3499097526073456	-0.021830806508660316	-0.024194102734327316	-4.388126750853871e-09	0.01591605693101883	0.30533620715141296	-0.03479323163628578	-0.18182320892810822	1.0
92789	0.0001210441259900108	3.0023331419215538e-05	0.00901311356574297	0.9992326498031616	-0.002600299194455147	799.0	4.063430147915881e-12	1.9998083189420868e-08	0.9999967813491821	-2.7157458504234455e-09	-5.545936687667563e-07	0.0009588065440766513	0.05045400932431221	0.08625345677137375	-0.05629198998212814	0.7716756463050842	-6.971144772549565e-10	0.059858307242393494	0.007471682969480753	0.026486705988645554	-0.002832273952662945	1.0

11: CALLMETHOD 'drop'

This step used:

This step was used by:

Where was this step created?

Output of this step

item_0

item_1

item_2

item_3

item_4

cash_price

make_0

make_1

make_2

make_3

make_4

model_0

model_1

model_2

model_3

model_4

goods_code_0

goods_code_1

goods_code_2

goods_code_3

goods_code_4

Nbr_of_prod_purchas