DEVELOPMENT... OpenML
Run
67750

Run 67750

Task 3800 (Supervised Classification) fri_c3_500_50 Uploaded 30-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RealAdaBoost_RandomTree(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RealAdaBoost_RandomTree(1)_P100
weka.RealAdaBoost_RandomTree(1)_H1.0
weka.RealAdaBoost_RandomTree(1)_S1
weka.RealAdaBoost_RandomTree(1)_I10
weka.RealAdaBoost_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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.

21 Evaluation measures

Area under ROC curve
0.8014
Per class
Build CPU time
0.1314
Build memory
874512470.4
F measure
0.7527
Per class
Kappa
0.4956
KB relative information score
257.2063
Mean absolute error
0.2368
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7617
Per class
Predictive accuracy
0.758
Prior entropy
0.9882
Recall
0.758
Per class
Relative absolute error
0.4814
Root mean prior squared error
0.4959
Root mean squared error
0.4595
Root relative squared error
0.9267
SciMark benchmark
905.0866