DEVELOPMENT... OpenML
Run
38560

Run 38560

Task 4607 (Supervised Classification) pc4 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
0.9122
Per class
Build CPU time
3.9404
Build memory
101212391.5775
F measure
0.9012
Per class
Kappa
0.5181
KB relative information score
6253.341
Mean absolute error
0.0951
Mean prior absolute error
0.2148
Number of instances
14580
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8986
Per class
Predictive accuracy
0.906
Prior entropy
0.5368
Recall
0.906
Per class
Relative absolute error
0.4428
Root mean prior squared error
0.3274
Root mean squared error
0.2913
Root relative squared error
0.8898
SciMark benchmark
945.8914