Data
SensorDataResource

SensorDataResource

active ARFF Publicly available Visibility: public Uploaded 12-04-2016 by Farzan Majdani
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This is a sesnor data for test it is not complete.

27 features

DateTimenominal127591 unique values
0 missing
POWER_TURBINE_ROTOR1_SPEEDnumeric14074 unique values
0 missing
POWER_TURBINE_ROTOR2_SPEEDnumeric14652 unique values
0 missing
GAS_GENERATOR_ROTOR1_SPEEDnumeric57910 unique values
0 missing
GAS_GENERATOR_ROTOR2_SPEEDnumeric52866 unique values
0 missing
POWER_TURBINE_EXHAUST1_TEMPERATUREnumeric121056 unique values
0 missing
POWER_TURBINE_EXHAUST2_TEMPERATUREnumeric106242 unique values
0 missing
POWER_TURBINE_EXHAUST3_TEMPERATUREnumeric121013 unique values
0 missing
POWER_TURBINE_EXHAUST4_TEMPERATUREnumeric120985 unique values
0 missing
POWER_TURBINE_EXHAUST5_TEMPERATUREnumeric120867 unique values
0 missing
POWER_TURBINE_EXHAUST6_TEMPERATUREnumeric121108 unique values
0 missing
G_NDE_Directnumeric32849 unique values
0 missing
G_DE_Vib_X_Directnumeric93105 unique values
0 missing
TURBINE_INLET_PRESSURE_P48numeric114632 unique values
0 missing
COMPRESSOR_INLET_TOTAL_PRESSUREnumeric110581 unique values
0 missing
AMBIENT_TEMPERATUREnumeric120581 unique values
0 missing
AXIAL_COMPRESSOR_INLET2_TEMPERATUREnumeric113641 unique values
0 missing
AXIAL_COMPRESSOR_INLET1_TEMPERATUREnumeric106305 unique values
0 missing
MINERAL_OIL_TANK_TEMPERATUREnumeric119212 unique values
0 missing
SYNTHETIC_OIL_TANK_TEMPERATUREnumeric118535 unique values
0 missing
PT_B_OB_BRG_Tempnumeric106857 unique values
0 missing
PT_B_IB_BRG_Tempnumeric108119 unique values
0 missing
PT_C_IB_THR_BRG_Tempnumeric53968 unique values
0 missing
PT_B_OBTHR_BRG_Tempnumeric111906 unique values
0 missing
GENERATOR_ACTIVE_POWERnumeric98971 unique values
0 missing
GRID_VOLTAGEnumeric51007 unique values
0 missing
TURBINE_RUNNING_STATUSnominal3 unique values
0 missing

62 properties

127591
Number of instances (rows) of the dataset.
27
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
25
Number of numeric attributes.
2
Number of nominal attributes.
186.3
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
3
The minimal number of distinct values among attributes of the nominal type.
92.59
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
127591
The maximum number of distinct values among attributes of the nominal type.
-3.79
Minimum skewness among attributes of the numeric type.
7.41
Percentage of nominal attributes.
2
Third quartile of skewness among attributes of the numeric type.
2.51
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
281.86
Third quartile of standard deviation of attributes of the numeric type.
3304.71
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
1.91
First quartile of kurtosis among attributes of the numeric type.
90218.34
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
27.06
First quartile of means among attributes of the numeric type.
4.03
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
687.39
Mean of means among attributes of the numeric type.
1.04
First quartile of skewness among attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
14.79
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
63797
Average number of distinct values among the attributes of the nominal type.
2
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
1.1
Mean skewness among attributes of the numeric type.
89.69
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
520.62
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
1.96
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.58
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
34.31
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
30.4
Maximum kurtosis among attributes of the numeric type.
0.6
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
3.51
Third quartile of kurtosis among attributes of the numeric type.
10991.23
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.

3 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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