Run
164900

Run 164900

Task 2258 (Supervised Classification) BNG(dermatology) Uploaded 17-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I160
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.7563
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3715
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3332
Cross-validation details (10-fold Crossvalidation)
KB relative information score
322816.1114
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.195
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2665
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3305
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4879
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4359
Cross-validation details (10-fold Crossvalidation)
Recall
0.4879
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7317
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3122
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8554
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.4278
UserCPU time millis
4820
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
750
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
4070
Cross-validation details (10-fold Crossvalidation)