Run
423733

Run 423733

Task 1821 (Supervised Classification) ionosphere Uploaded 09-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I10
weka.RealAdaBoost_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
0.9463
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9025
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.7862
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1332.5867
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1099
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1755
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9038
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9037
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9037
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2386
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2831
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.5903
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
929.0296
UserCPU time millis
30
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (5 times 2-fold Crossvalidation)