DEVELOPMENT... OpenML
Run
67517

Run 67517

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 30-11-2014 by Felicia West
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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
0.8623
Per class
Build CPU time
0.0125
Build memory
1197739865.6
F measure
0.8058
Per class
Kappa
0.6022
KB relative information score
62.503
Mean absolute error
0.1815
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8159
Per class
Predictive accuracy
0.81
Prior entropy
0.9864
Recall
0.81
Per class
Relative absolute error
0.3702
Root mean prior squared error
0.4951
Root mean squared error
0.4024
Root relative squared error
0.8128
SciMark benchmark
939.6798