DEVELOPMENT... OpenML
Run
35680

Run 35680

Task 3916 (Supervised Classification) kc1-binary 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)_I10
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
0.7613
Per class
Build CPU time
0.4246
Build memory
282216520.7724
F measure
0.7038
Per class
Kappa
0.3902
KB relative information score
54.1436
Mean absolute error
0.3004
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7042
Per class
Predictive accuracy
0.7034
Prior entropy
0.979
Recall
0.7034
Per class
Relative absolute error
0.6191
Root mean prior squared error
0.4925
Root mean squared error
0.5371
Root relative squared error
1.0905
SciMark benchmark
942.0655