DEVELOPMENT... OpenML
Run
39609

Run 39609

Task 4540 (Supervised Classification) squash-stored 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)_I40
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
0.8352
Per class
Build CPU time
0.0051
Build memory
1544709998.2769
F measure
0.7681
Per class
Kappa
0.5352
KB relative information score
236.7614
Mean absolute error
0.2751
Mean prior absolute error
0.4936
Number of instances
520
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.775
Per class
Predictive accuracy
0.7673
Prior entropy
0.9911
Recall
0.7673
Per class
Relative absolute error
0.5573
Root mean prior squared error
0.4967
Root mean squared error
0.4195
Root relative squared error
0.8447
SciMark benchmark
909.9339