Run
580556

Run 580556

Task 53 (Supervised Classification) vehicle Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump(1)_Wweka.classifiers.meta.MultiBoostAB
weka.MultiBoostAB_DecisionStump(4)_C3
weka.MultiBoostAB_DecisionStump(4)_P100
weka.MultiBoostAB_DecisionStump(4)_S1
weka.MultiBoostAB_DecisionStump(4)_I10
weka.MultiBoostAB_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
0.6426
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3105
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
167.6317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3377
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.2811
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3948
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.3948
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.901
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4113
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.95
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1380.0304
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)