Run
580497

Run 580497

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

weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1 )Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Wweka.classifiers.meta.RacedIncrementalLogitBoost
weka.RacedIncrementalLogitBoost_DecisionStump(4)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(4)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_Wweka.classifiers.trees.DecisionStump

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
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5168
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4811
Cross-validation details (10-fold Crossvalidation)
KB relative information score
878.8619
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.13
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
0.546
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2501
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8337
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1383.7522
UserCPU time millis
390
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
370
Cross-validation details (10-fold Crossvalidation)