OpenML
416609

Run 416609

Task 4240 (Supervised Classification) tr41.wc Uploaded 07-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_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
0.7191
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.2942
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2738
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2133.3806
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1293
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1652
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8780
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2185
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4541
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.8041
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4541
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.783
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2872
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2552
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8885
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.0055
UserCPU time millis
3850
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
3840
Cross-validation details (10 times 10-fold Crossvalidation)