Run
164795

Run 164795

Task 226 (Supervised Classification) RandomRBF_10_1E-4 Uploaded 17-02-2015 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(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.

20 Evaluation measures

Area under ROC curve
0.5872 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1141 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0866 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2989 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3093 ± 0
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]
Predictive accuracy
0.3722 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2205 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.3722 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9665 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3932 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3866 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9831 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.2817
UserCPU time millis
13850
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
690
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
13160
Cross-validation details (10-fold Crossvalidation)