Balanced Predictive Maintenance Dataset

Addressing Class Imbalance in Predictive Maintenance

@kaggle.chetansmahale_balanced_predictive_maintenance_dataset

Table List

9 tables(6.14 MB)

X Smote

Y Smote

X Train

Y Test

X Test

Cleaned Data

Y Train

X Ctgan

Y Ctgan

Cleaned Data

@kaggle.chetansmahale_balanced_predictive_maintenance_dataset.cleaned_data

70.71 KB
10000 rows
7 columns

type Type	air_temperature_k Air Temperature [K]	process_temperature_k Process Temperature [K]	rotational_speed_rpm Rotational Speed [rpm]	torque_nm Torque [Nm]	tool_wear_min Tool Wear [min]
2	-0.9523894433829584	-0.9473598877173782	0.06818514034143	0.2821997560241306	-1.6959837443286896
1	-0.9023934097553372	-0.8799590021118496	-0.7294715051501508	0.6333080199205777	-1.648851700781283
1	-0.9523894433829584	-1.0147607733229451	-0.2274498401554495	0.9442896250860024	-1.6174303384163455
1	-0.9023934097553372	-0.9473598877173782	-0.5900210426516227	-0.0488451785068049	-1.5860089760514078
1	-0.9023934097553372	-0.8799590021118496	-0.7294715051501508	0.0013131449069732	-1.5545876136864702
2	-0.9523894433829584	-0.9473598877173782	-0.6346451906511517	0.1919147738793301	-1.5231662513215327
1	-0.9523894433829584	-0.9473598877173782	0.1072312698410179	0.2420730972931082	-1.4760342077741262
1	-0.9523894433829584	-0.9473598877173782	-0.0656873036571569	0.0213764742724847	-1.4446128454091889
2	-0.8523973761276875	-0.8799590021118496	0.7152352863346005	-1.1422966289271683	-1.4131914830442511
2	-0.7524053088724167	-0.677756345295187	1.1280086553302435	-1.2024866170237023	-1.3660594394968446


CREATE TABLE cleaned_data (
  "type" BIGINT,
  "air_temperature_k" DOUBLE,
  "process_temperature_k" DOUBLE,
  "rotational_speed_rpm" DOUBLE,
  "torque_nm" DOUBLE,
  "tool_wear_min" DOUBLE,
  "reason_of_failure" BIGINT
);