Run
301469

Run 301469

Task 3524 (Supervised Classification) fbis.wc Uploaded 18-03-2015 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)_I160
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
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8669
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8531
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2114.3616
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0162
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1047
Cross-validation details (10-fold Crossvalidation)
Number of instances
2463
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8663
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8697
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.8697
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1543
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2288
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1162
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5078
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1352.2099
UserCPU time millis
10280820
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10280810
Cross-validation details (10-fold Crossvalidation)