DEVELOPMENT... OpenML
Run
147805

Run 147805

Task 3887 (Supervised Classification) analcatdata_germangss Uploaded 03-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.4873
Per class
F measure
0.5819
Per class
Kappa
-0.02
KB relative information score
-190.8568
Mean absolute error
0.4525
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.643
Per class
Predictive accuracy
0.5475
Prior entropy
0.7716
Recall
0.5475
Per class
Relative absolute error
1.2947
Root mean prior squared error
0.4176
Root mean squared error
0.6727
Root relative squared error
1.6109
SciMark benchmark
901.0726