Run
577154

Run 577154

Task 26 (Supervised Classification) nursery Uploaded 02-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_LogitBoost_DecisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_LogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_LogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_DecisionStump(8)_P100
weka.LogitBoost_DecisionStump(8)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(8)_H1.0
weka.LogitBoost_DecisionStump(8)_Z3.0
weka.LogitBoost_DecisionStump(8)_O1
weka.LogitBoost_DecisionStump(8)_E1
weka.LogitBoost_DecisionStump(8)_S1
weka.LogitBoost_DecisionStump(8)_I10
weka.LogitBoost_DecisionStump(8)_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
0.9776
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8944
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8597
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10131.1511
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0736
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.8844
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.9053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2697
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1784
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4828
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1623.3381
UserCPU time millis
200
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
170
Cross-validation details (10-fold Crossvalidation)