DEVELOPMENT... OpenML
Run
38753

Run 38753

Task 4622 (Supervised Classification) kc1 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
0.7964
Per class
Build CPU time
7.4258
Build memory
749704041.1964
F measure
0.825
Per class
Kappa
0.247
KB relative information score
6602.6668
Mean absolute error
0.146
Mean prior absolute error
0.2616
Number of instances
21090
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8293
Per class
Predictive accuracy
0.8564
Prior entropy
0.622
Recall
0.8564
Per class
Relative absolute error
0.558
Root mean prior squared error
0.3615
Root mean squared error
0.3662
Root relative squared error
1.0129
SciMark benchmark
939.9671