Run
581318

Run 581318

Task 2077 (Supervised Classification) baseball Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.END_ND_J48(4)Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.END_ND_J48(4)_S1
weka.END_ND_J48(4)_I10
weka.END_ND_J48(4)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(4)_S1
weka.ND_J48(4)_Wweka.classifiers.trees.J48

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
0.8731
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9295
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5699
Cross-validation details (10-fold Crossvalidation)
KB relative information score
582.2565
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0625
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1164
Cross-validation details (10-fold Crossvalidation)
Number of instances
1340
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9271
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9381
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5456
Cross-validation details (10-fold Crossvalidation)
Recall
0.9381
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5374
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2405
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7629
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1332.5857
UserCPU time millis
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)