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

X Test

@kaggle.chetansmahale_balanced_predictive_maintenance_dataset.x_test

33.08 KB
3000 rows
6 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]
1	0.397503464563268	0.1984551675769921	-0.0043291001578045	-0.3899217777204962	1.4147311298001333
2	1.797392406137144	1.209468451660267	-0.6569572646509162	0.4828330496792433	-0.1092049448993405
2	-0.8523973761276875	-1.4191660869562706	-0.2999640806546841	0.2019464385620858	0.1421659540201603
1	1.6474043052542235	0.8724640236325086	0.2968838988390162	-0.6306817301066312	-1.4760342077741262
1	1.1974400026054626	0.2658560531825208	1.8196829493229436	-1.6137848690166836	0.3306941282097859
3	0.2475153636803477	-0.0711483748452374	-0.7908297086495032	0.5931813611895553	1.603259303989759
3	-1.1523735778935282	-0.205950146056333	-0.5509749131520348	1.1148279246928483	1.3047563615228517
1	1.847388439764765	1.8160764221102164	-1.1366668556458528	1.1148279246928483	0.8334359260487876
2	-0.0024648044578433	-0.2733510316618617	0.4419123798374854	-0.3798901130377404	-0.863317641657843
2	-1.3023616787764485	-1.149562544534041	-0.0210631556576279	-0.5403967479618307	-0.8947390040227806


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