Run
157491

Run 157491

Task 224 (Supervised Classification) RandomRBF_0_0 Uploaded 11-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LogitBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I20
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

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
0.8702 ± 0.0008
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6695 ± 0.0038
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5713 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.4457 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2118 ± 0.0008
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]
Precision
0.6737 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6721 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2205 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.6721 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6848 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3932 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3118 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7928 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.5243
UserCPU time millis
846210
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
845030
Cross-validation details (10-fold Crossvalidation)