DEVELOPMENT... OpenML
Run
67670

Run 67670

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8202
Per class
Build CPU time
0.0051
Build memory
350301208.2581
F measure
0.7849
Per class
Kappa
0.5468
KB relative information score
52.8091
Mean absolute error
0.1984
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7849
Per class
Predictive accuracy
0.7849
Prior entropy
0.9645
Recall
0.7849
Per class
Relative absolute error
0.4177
Root mean prior squared error
0.4871
Root mean squared error
0.4338
Root relative squared error
0.8907
SciMark benchmark
932.5791