Run
152339

Run 152339

Task 3628 (Supervised Classification) fri_c2_100_10 Uploaded 10-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RacedIncrementalLogitBoost_DecisionStump(2)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_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
0.4495
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3903
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1774
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4957
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4951
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
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
0.3025
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.55
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9931
Cross-validation details (10-fold Crossvalidation)
Recall
0.55
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4975
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4981
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0012
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.3943