Run
262864

Run 262864

Task 1882 (Supervised Classification) anneal Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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
0.8825
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9787
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9471
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-5996.1199
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2472
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8980
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9799
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9786
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9786
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.8405
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3397
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.3154
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
937.5996
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)