Run
576322

Run 576322

Task 22 (Supervised Classification) mfeat-zernike Uploaded 01-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_Bagging_J48(1)Weka implementation of AttributeSelectedClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AttributeSelectedClassifier_Bagging_J48(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_J48(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_J48(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_J48(7)_P100
weka.Bagging_J48(7)_S1
weka.Bagging_J48(7)_num-slots1
weka.Bagging_J48(7)_I10
weka.Bagging_J48(7)_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
0.9563
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7275
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7006
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1489.5552
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0663
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7261
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7305
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7305
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3681
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1843
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6144
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1352.9381
UserCPU time millis
1210
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1190
Cross-validation details (10-fold Crossvalidation)