Run
214962

Run 214962

Task 3800 (Supervised Classification) fri_c3_500_50 Uploaded 28-02-2015 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(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(3)_P100
weka.LogitBoost_DecisionStump(3)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(3)_H1.0
weka.LogitBoost_DecisionStump(3)_Z3.0
weka.LogitBoost_DecisionStump(3)_O1
weka.LogitBoost_DecisionStump(3)_E1
weka.LogitBoost_DecisionStump(3)_S1
weka.LogitBoost_DecisionStump(3)_I20
weka.LogitBoost_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
0.9256
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8534
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
282.5841
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2283
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4918
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
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
0.854
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.854
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9882
Cross-validation details (10-fold Crossvalidation)
Recall
0.854
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4642
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3267
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6588
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
895.5332
UserCPU time millis
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)