Run
151250

Run 151250

Task 2260 (Supervised Classification) BNG(glass) Uploaded 09-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)Weka implementation of IterativeClassifierOptimizer
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I10
weka.LogitBoost_DecisionStump(2)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(2)_O1
weka.LogitBoost_DecisionStump(2)_P100
weka.LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(2)_Z3.0
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_L50
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_P1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_E1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_R1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_metricRMSE
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_S1

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
0.8598
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6147
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5052
Cross-validation details (10-fold Crossvalidation)
KB relative information score
60751.972
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1403
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2113
Cross-validation details (10-fold Crossvalidation)
Number of instances
137781
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
0.6221
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6516
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2029
Cross-validation details (10-fold Crossvalidation)
Recall
0.6516
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6642
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.325
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2603
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8008
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
883.7187
UserCPU time millis
52890
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
590
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
52300
Cross-validation details (10-fold Crossvalidation)