Data
Chaos_detection_in_Duffing_system

Chaos_detection_in_Duffing_system

active ARFF Public Domain (CC0) Visibility: public Uploaded 26-11-2019 by Matteo Caorsi
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This dataset is an artificial simulation of the Duffing system with random changes from the chaotic to the non-chaotic regime at different noise levels.

26 features

indexnumeric9900 unique values
0 missing
timenumeric9900 unique values
0 missing
ynumeric2 unique values
0 missing
xnumeric1228141 unique values
0 missing
coord_1numeric1228139 unique values
0 missing
max_10numeric273628 unique values
0 missing
max_20numeric175907 unique values
0 missing
max_50numeric116206 unique values
0 missing
mean_10numeric1235188 unique values
0 missing
mean_20numeric1235585 unique values
0 missing
mean_50numeric1241616 unique values
0 missing
min_10numeric273358 unique values
0 missing
min_20numeric175604 unique values
0 missing
min_50numeric116833 unique values
0 missing
fourier_w_1numeric1228336 unique values
0 missing
fourier_w_2numeric1228329 unique values
0 missing
num_holesnumeric100 unique values
0 missing
avg_lifetimenumeric24932 unique values
0 missing
betti_0numeric94 unique values
0 missing
betti_1numeric13095 unique values
0 missing
betti_2numeric15973 unique values
0 missing
betti_argmax_1numeric86 unique values
0 missing
betti_argmax_2numeric98 unique values
0 missing
amplitudenumeric24932 unique values
0 missing
noise_levelnumeric9 unique values
0 missing
test_setnumeric2 unique values
0 missing

62 properties

2493200
Number of instances (rows) of the dataset.
26
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.
26
Number of numeric attributes.
0
Number of nominal attributes.
125.76
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-2
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.32
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.36
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
2.46
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-0.08
Third quartile of kurtosis among attributes of the numeric type.
5052.66
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
25.15
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-0.57
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
0.21
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.23
Third quartile of skewness among attributes of the numeric type.
0.92
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.84
First quartile of kurtosis among attributes of the numeric type.
15.82
Third quartile of standard deviation of attributes of the numeric type.
2856.08
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.01
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.44
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.
220.84
Mean of means among attributes of the numeric type.
-0.06
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.96
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
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.
Entropy of the target attribute values.
Average number of distinct values among the attributes of the nominal type.
-0.66
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
0.07
Mean skewness among attributes of the numeric type.
0.48
Second quartile (Median) of means 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.

8 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task