Run
581211

Run 581211

Task 7287 (Supervised Classification) adult Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.MultiBoostAB_J48(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.MultiBoostAB_J48(3)_C3
weka.MultiBoostAB_J48(3)_P100
weka.MultiBoostAB_J48(3)_S1
weka.MultiBoostAB_J48(3)_I10
weka.MultiBoostAB_J48(3)_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
0.8738
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.0792
Cross-validation details (10-fold Crossvalidation)
F measure
0.8369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5409
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24819.9555
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1588
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
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
0.8351
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8416
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8416
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3813
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8937
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1367.2346
Total cost
3869
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
14910
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
350
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
14560
Cross-validation details (10-fold Crossvalidation)