DEVELOPMENT... OpenML
Run
38682

Run 38682

Task 4621 (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)_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
0.7509
Per class
Build CPU time
1.9708
Build memory
427427793.8979
F measure
0.7277
Per class
Kappa
0.4434
KB relative information score
615.7724
Mean absolute error
0.2758
Mean prior absolute error
0.4853
Number of instances
1450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7314
Per class
Predictive accuracy
0.7262
Prior entropy
0.979
Recall
0.7262
Per class
Relative absolute error
0.5684
Root mean prior squared error
0.4925
Root mean squared error
0.5194
Root relative squared error
1.0546
SciMark benchmark
945.0342