DEVELOPMENT... OpenML
Run
147793

Run 147793

Task 3743 (Supervised Classification) fri_c2_500_25 Uploaded 03-02-2015 by Felicia West
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Flow

weka.ClassificationViaClustering_SimpleKMeans_EuclideanDistance(2)Weka implementation of ClassificationViaClustering
weka.ClassificationViaClustering_SimpleKMeans_EuclideanDistance(2)_Wweka.clusterers.SimpleKMeans
weka.SimpleKMeans_EuclideanDistance(2)_N2
weka.SimpleKMeans_EuclideanDistance(2)_init0
weka.SimpleKMeans_EuclideanDistance(2)_periodic-pruning10000
weka.SimpleKMeans_EuclideanDistance(2)_min-density2.0
weka.SimpleKMeans_EuclideanDistance(2)_t2-1.0
weka.SimpleKMeans_EuclideanDistance(2)_t1-1.25
weka.SimpleKMeans_EuclideanDistance(2)_I500
weka.SimpleKMeans_EuclideanDistance(2)_num-slots1
weka.SimpleKMeans_EuclideanDistance(2)_S10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7153
Per class
F measure
0.7133
Per class
Kappa
0.4144
KB relative information score
189.5025
Mean absolute error
0.29
Mean prior absolute error
0.4768
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.727
Per class
Predictive accuracy
0.71
Prior entropy
0.9664
Recall
0.71
Per class
Relative absolute error
0.6083
Root mean prior squared error
0.4882
Root mean squared error
0.5385
Root relative squared error
1.1031
SciMark benchmark
901.0726
UserCPU time millis
20
UserCPU time millis training
20