DEVELOPMENT... OpenML
Run
38410

Run 38410

Task 4340 (Supervised Classification) fri_c1_250_50 Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9354
Per class
Build CPU time
1.0394
Build memory
1057576848.24
F measure
0.8891
Per class
Kappa
0.7761
KB relative information score
1940.2022
Mean absolute error
0.1104
Mean prior absolute error
0.4954
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8891
Per class
Predictive accuracy
0.8892
Prior entropy
0.9934
Recall
0.8892
Per class
Relative absolute error
0.2229
Root mean prior squared error
0.4977
Root mean squared error
0.3245
Root relative squared error
0.6521
SciMark benchmark
909.9339