Datasets:

giulioappetito
/

churn_dataset_giulioappetito

Tenure float64 -1.76 1.66	Support Calls float64 -1.22 1.97	Payment Delay float64 -1.6 1.95	Usage Frequency float64 -1.71 1.66	Total Spend float64 -2.12 1.55	Last Interaction float64 -1.58 1.79	Age_binned_(18.0, 25.0] float64 0 1	Age_binned_(25.0, 35.0] float64 0 1	Age_binned_(35.0, 50.0] float64 0 1	Age_binned_(50.0, 60.0] float64 0 1	Age_binned_(60.0, 70.0] float64 0 1	Age_binned_nan float64 0 1	Contract Length_Annual float64 0 1	Contract Length_Monthly float64 0 1	Contract Length_Quarterly float64 0 1	Gender_Female float64 0 1	Gender_Male float64 0 1	Subscription Type_Basic float64 0 1	Subscription Type_Premium float64 0 1	Subscription Type_Standard float64 0 1	Churn int64 0 2
1.486997	-0.585612	-0.295115	-0.89587	1.078264	0.161558	0	0	1	0	0	0	1	0	0	0	1	1	0	0	0
-1.06536	1.648013	1.24379	0.96024	-0.970538	-1.464405	0	0	0	0	1	0	0	0	1	0	1	0	0	1	1
1.022932	-0.585612	-1.597266	1.656281	0.638201	-0.419143	0	1	0	0	0	0	1	0	0	0	1	0	0	1	0
0.732892	0.052567	-0.05836	-1.359897	-0.482472	-0.767564	0	1	0	0	0	0	0	1	0	0	1	0	0	1	1
1.022932	-0.585612	-0.05836	-0.315835	0.095448	-1.580545	0	1	0	0	0	0	1	0	0	0	1	0	0	1	0
1.428989	-0.266522	-1.242134	-1.359897	-0.151621	-0.883704	0	0	1	0	0	0	0	0	1	0	1	0	1	0	0
0.500859	-1.22379	1.598922	-0.89587	1.420566	0.858399	1	0	0	0	0	0	0	0	1	1	0	0	0	1	1
-0.079222	1.328923	-0.53187	-0.315835	0.195368	0.626119	0	0	1	0	0	0	0	1	0	0	1	0	0	1	1
0.094802	0.052567	0.533526	-1.011877	-1.892432	0.742259	0	1	0	0	0	0	0	1	0	0	1	1	0	0	1
-1.181376	-0.904701	-0.413492	-0.89587	1.114939	-0.419143	0	0	0	0	1	0	0	1	0	0	1	0	0	1	1
-1.645441	-0.904701	-1.242134	-1.011877	0.746108	-0.070723	1	0	0	0	0	0	0	0	1	0	1	0	1	0	0
-1.123368	-0.904701	1.480545	-0.431842	-0.09942	-1.115984	0	0	0	1	0	0	0	1	0	0	1	1	0	0	1
0.558867	-0.904701	0.651904	1.308261	-0.194205	-0.186863	0	0	0	0	0	1	0	0	1	1	0	0	0	1	0
1.022932	0.052567	1.24379	-1.24389	-1.345482	1.090679	1	0	0	0	0	0	0	0	1	1	0	0	0	1	1
-0.427271	-1.22379	0.888658	1.656281	-1.387128	-1.115984	1	0	0	0	0	0	0	1	0	0	1	0	1	0	1
-1.007352	-0.585612	-1.360511	0.496213	0.85051	0.626119	0	0	1	0	0	0	0	0	1	0	1	0	1	0	0
1.312973	0.052567	0.178394	-1.127884	0.011992	-0.651423	0	0	1	0	0	0	0	0	1	1	0	0	0	1	0
-0.717311	-0.904701	0.296772	0.148192	1.350149	-1.580545	0	1	0	0	0	0	1	0	0	0	1	0	1	0	0
-0.543287	-0.904701	-0.05836	0.380206	0.045611	-1.580545	0	1	0	0	0	0	1	0	0	1	0	0	0	1	0
1.370981	0.690745	-0.53187	-1.011877	-0.763649	-1.348265	0	0	0	1	0	0	0	1	0	1	0	0	1	0	0
1.312973	-0.904701	0.060017	-1.591911	0.09117	-0.535283	1	0	0	0	0	0	0	0	1	0	1	0	0	1	0
0.210819	-0.904701	0.178394	0.380206	-0.372446	-1.348265	0	0	1	0	0	0	0	1	0	1	0	0	1	0	0
0.674884	-1.22379	-1.123756	-0.779863	-1.362678	-0.999844	0	0	1	0	0	0	1	0	0	0	1	0	1	0	1
-0.369262	-0.904701	1.007036	-0.315835	-0.788099	0.858399	0	1	0	0	0	0	0	0	1	1	0	0	1	0	1
-1.413409	1.648013	-0.650247	0.728226	-1.154852	-0.186863	1	0	0	0	0	0	0	0	1	0	1	0	0	1	0
-1.355401	-0.904701	1.835677	1.656281	-1.749806	-1.580545	0	0	1	0	0	0	0	1	0	1	0	1	0	0	1
1.370981	1.648013	1.598922	-0.083822	-0.315396	1.67138	0	0	1	0	0	0	1	0	0	1	0	0	1	0	1
1.603014	1.009834	0.533526	0.61222	0.145082	1.090679	0	0	0	1	0	0	0	1	0	1	0	1	0	0	1
-0.13723	0.690745	-0.768624	1.424268	-0.470247	-0.999844	0	0	0	1	0	0	1	0	0	0	1	1	0	0	1
0.732892	0.371656	1.24379	-1.359897	-1.309703	1.20682	0	0	1	0	0	0	1	0	0	1	0	1	0	0	1
0.732892	-1.22379	-0.768624	0.264199	0.002171	0.742259	0	0	1	0	0	0	1	0	0	0	1	0	0	1	0
0.210819	0.052567	-0.176738	0.61222	-0.346611	0.161558	0	0	0	1	0	0	0	0	1	1	0	0	1	0	1
0.7909	-0.266522	-1.005379	-0.083822	0.107347	0.974539	0	0	0	1	0	0	0	1	0	1	0	0	0	1	1
-1.181376	-0.266522	-0.887002	-1.591911	1.26164	-1.580545	0	0	0	0	1	0	0	1	0	0	1	1	0	0	0
-1.645441	0.052567	-1.478888	-0.547849	-0.014374	1.787521	0	0	1	0	0	0	0	1	0	1	0	0	0	1	1
-0.659303	0.371656	-0.176738	-0.663856	1.298315	-0.883704	0	0	0	1	0	0	0	1	0	0	1	0	0	1	1
-0.601295	-0.904701	-0.887002	0.96024	0.939957	1.787521	0	1	0	0	0	0	1	0	0	0	1	0	0	1	0
1.196957	-1.22379	0.770281	-1.707918	1.105525	-0.999844	1	0	0	0	0	0	1	0	0	0	1	0	1	0	0
1.603014	-0.585612	-0.887002	-0.547849	0.122547	-0.303003	1	0	0	0	0	0	0	0	1	1	0	0	1	0	0
1.080941	-0.904701	0.415149	1.656281	1.449825	-0.186863	0	0	1	0	0	0	1	0	0	0	1	0	1	0	0
-1.761457	0.690745	-0.887002	0.264199	1.306465	1.67138	0	1	0	0	0	0	0	0	1	1	0	1	0	0	0
0.210819	0.690745	-0.53187	0.264199	-2.067658	-1.115984	1	0	0	0	0	0	0	0	1	1	0	0	0	1	1
0.848908	1.328923	0.651904	-0.663856	1.514292	1.20682	0	1	0	0	0	0	1	0	0	1	0	1	0	0	1
0.906916	-1.22379	-0.413492	0.032185	0.898962	0.858399	0	0	0	1	0	0	0	1	0	1	0	0	1	0	1
1.545005	-1.22379	-1.005379	-1.591911	-0.489644	-0.651423	0	1	0	0	0	0	1	0	0	0	1	1	0	0	0
0.906916	0.371656	0.888658	-0.663856	-0.812549	-0.999844	1	0	0	0	0	0	0	1	0	0	1	0	0	1	1
0.906916	1.648013	1.007036	0.264199	-1.142627	1.55524	0	0	1	0	0	0	1	0	0	0	1	0	0	1	1
-0.253246	1.009834	0.415149	1.656281	0.715586	-0.767564	0	0	1	0	0	0	0	0	1	1	0	0	0	1	1
0.152811	-0.904701	-0.887002	0.728226	-0.180757	-0.767564	0	0	1	0	0	0	0	0	1	0	1	0	0	1	0
-1.529425	1.648013	1.125413	-1.707918	0.833762	-0.999844	0	1	0	0	0	0	0	1	0	0	1	1	0	0	1
1.312973	-0.585612	-0.768624	0.264199	1.430346	0.742259	0	0	1	0	0	0	1	0	0	0	1	0	1	0	0
0.500859	-0.266522	0.770281	-0.89587	0.362566	-0.070723	0	0	1	0	0	0	1	0	0	1	0	0	1	0	0
0.906916	1.967102	-0.295115	-0.89587	-1.362678	-0.883704	0	0	0	1	0	0	0	1	0	1	0	0	0	1	1
1.254965	1.328923	1.598922	-0.083822	-0.176845	-0.186863	0	0	0	1	0	0	0	0	1	1	0	0	0	1	1
0.036794	1.648013	1.480545	0.61222	1.329489	1.090679	0	0	0	1	0	0	1	0	0	1	0	0	1	0	1
1.312973	0.690745	-1.242134	-0.315835	-1.730164	0.277698	0	0	0	1	0	0	1	0	0	0	1	0	1	0	1
0.964924	-1.22379	-0.768624	-1.127884	-1.273028	-1.232124	0	1	0	0	0	0	0	0	1	0	1	0	1	0	1
-0.891336	-1.22379	1.125413	-0.663856	0.687061	-1.348265	0	0	0	0	1	0	1	0	0	1	0	1	0	0	1
1.312973	-0.266522	1.7173	-1.475904	-0.535447	-0.999844	0	0	1	0	0	0	1	0	0	1	0	0	1	0	1
1.603014	1.648013	0.060017	-0.431842	-1.904657	1.32296	0	0	0	0	1	0	0	0	1	0	1	0	0	1	1
0.152811	-1.22379	0.060017	-0.083822	0.994033	0.626119	0	1	0	0	0	0	1	0	0	0	1	1	0	0	0
-0.079222	-0.585612	1.7173	-0.431842	1.538742	-0.419143	0	0	1	0	0	0	1	0	0	1	0	0	1	0	1
-1.181376	-0.585612	0.533526	1.540275	0.226664	1.32296	0	1	0	0	0	0	0	0	1	0	1	0	0	1	0
-0.659303	-0.585612	0.296772	0.148192	0.752424	1.20682	0	1	0	0	0	0	0	0	1	0	1	0	1	0	0
0.210819	0.690745	1.007036	1.540275	0.695211	1.090679	0	0	1	0	0	0	0	0	1	0	1	1	0	0	1
-1.297392	-1.22379	-1.360511	-0.315835	1.257565	-0.883704	0	0	0	1	0	0	1	0	0	0	1	0	0	1	1
-0.833327	-1.22379	0.533526	0.032185	0.837674	-0.070723	0	0	0	0	0	1	1	0	0	1	0	0	0	1	0
-0.427271	-1.22379	0.060017	-0.199829	0.738528	-0.767564	0	0	1	0	0	0	1	0	0	1	0	1	0	0	0
0.326835	-1.22379	0.533526	0.844233	-0.366212	-1.232124	0	1	0	0	0	0	0	0	1	1	0	0	0	1	0
-1.007352	-0.266522	0.888658	0.96024	0.035056	-0.186863	0	0	0	1	0	0	1	0	0	1	0	1	0	0	1
0.674884	0.690745	-1.005379	-0.431842	-0.527257	-0.186863	0	0	0	1	0	0	0	1	0	0	1	0	0	1	1
0.848908	-0.904701	0.888658	0.844233	0.450709	-0.999844	0	0	1	0	0	0	0	1	0	0	1	0	1	0	1
1.370981	0.690745	-0.05836	1.656281	0.483309	0.045418	0	0	1	0	0	0	1	0	0	0	1	0	1	0	1
1.370981	-0.266522	-0.768624	-1.011877	0.478053	0.277698	0	0	1	0	0	0	0	0	1	0	1	0	0	1	0
-0.021214	-1.22379	-0.650247	0.844233	1.152225	-1.115984	0	0	1	0	0	0	0	0	1	0	1	1	0	0	0
0.500859	-0.266522	-0.887002	-1.707918	0.128782	-0.419143	0	0	0	1	0	0	1	0	0	0	1	0	0	1	1
-0.195238	-0.585612	0.296772	-0.663856	-0.356391	-0.186863	0	1	0	0	0	0	0	0	1	1	0	0	1	0	0
-0.543287	0.371656	-1.123756	-0.083822	0.695537	-0.303003	0	1	0	0	0	0	0	1	0	0	1	0	1	0	1
-1.587433	-0.585612	-0.53187	-0.315835	-1.916882	1.20682	0	0	1	0	0	0	0	1	0	0	1	0	1	0	1
0.442851	0.690745	-1.360511	-0.199829	-1.456404	1.20682	0	0	0	1	0	0	1	0	0	1	0	0	1	0	0
-1.123368	-0.585612	-0.53187	0.844233	0.030981	1.32296	0	0	0	0	1	0	0	1	0	0	1	1	0	0	1
-1.239384	-0.585612	-0.295115	-0.547849	1.219504	-0.070723	0	0	1	0	0	0	0	0	1	1	0	0	0	1	0
-0.601295	0.052567	-0.176738	-0.083822	-1.273028	1.4391	0	0	1	0	0	0	1	0	0	1	0	0	0	1	0
-0.369262	0.052567	1.007036	-1.475904	-1.517529	-1.464405	0	1	0	0	0	0	1	0	0	1	0	1	0	0	1
1.428989	0.052567	0.651904	0.61222	1.241387	-0.883704	0	0	1	0	0	0	0	0	1	1	0	0	0	1	0
-1.355401	0.371656	-1.005379	0.032185	1.127164	1.4391	0	0	1	0	0	0	0	1	0	0	1	0	1	0	0
1.196957	1.009834	0.651904	1.540275	-0.205737	0.742259	0	0	0	0	1	0	0	0	1	0	1	0	0	1	1
0.7909	-0.904701	-0.887002	0.844233	1.345341	-0.883704	1	0	0	0	0	0	0	0	1	0	1	1	0	0	0
1.022932	-0.585612	0.533526	-1.011877	-0.270204	-0.651423	0	1	0	0	0	0	0	0	1	0	1	0	1	0	0
-1.413409	-1.22379	-1.360511	0.496213	0.060688	0.277698	0	0	1	0	0	0	1	0	0	0	1	0	1	0	0
1.196957	-0.585612	0.178394	1.308261	0.166802	-0.883704	0	0	1	0	0	0	0	0	1	1	0	0	0	1	0
-0.13723	-0.904701	-0.887002	-0.547849	1.038899	-0.535283	0	0	1	0	0	0	1	0	0	0	1	0	0	1	0
-0.13723	-0.904701	1.7173	-0.89587	1.436866	0.277698	0	0	1	0	0	0	1	0	0	0	1	0	0	1	0
0.210819	-0.585612	0.060017	1.308261	0.230658	-0.767564	1	0	0	0	0	0	1	0	0	0	1	0	0	1	0
1.254965	1.328923	1.835677	-0.779863	1.044971	1.787521	0	0	1	0	0	0	0	0	1	0	1	1	0	0	1
-0.485279	0.690745	0.651904	-0.547849	-0.608716	0.742259	1	0	0	0	0	0	1	0	0	0	1	0	0	1	1
-0.717311	-0.585612	-0.413492	-0.199829	-0.537444	-1.115984	0	0	1	0	0	0	0	0	1	1	0	0	1	0	1
0.384843	-0.904701	0.651904	1.192254	-0.254271	-0.303003	0	0	0	0	1	0	1	0	0	1	0	1	0	0	0
1.022932	1.648013	-0.53187	0.61222	0.014681	1.32296	0	0	1	0	0	0	0	0	1	1	0	0	1	0	1
-1.587433	0.052567	0.296772	0.380206	0.068757	0.858399	0	0	1	0	0	0	1	0	0	0	1	0	1	0	0

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Size of downloaded dataset files:

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Size of the auto-converted Parquet files:

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Number of rows:

505,207

Models trained or fine-tuned on giulioappetito/churn_dataset_giulioappetito

JuliaDubov/churn111

Tabular Regression • Updated Mar 31, 2024