Run
417882

Run 417882

Task 4255 (Supervised Classification) analcatdata_asbestos Uploaded 07-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I20
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
0.8187
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7585
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5162
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
411.658
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2496
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4943
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
830
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
0.7645
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7578
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9919
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7578
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5051
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4971
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4475
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9003
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.0055
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)