DEVELOPMENT... OpenML
Run
40787

Run 40787

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 29-10-2014 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)_I80
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
0.9015
Per class
Build CPU time
4.4952
Build memory
1630915881.6
F measure
0.8758
Per class
Kappa
0.7465
KB relative information score
186.306
Mean absolute error
0.124
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8758
Per class
Predictive accuracy
0.876
Prior entropy
0.9868
Recall
0.876
Per class
Relative absolute error
0.2525
Root mean prior squared error
0.4954
Root mean squared error
0.3513
Root relative squared error
0.7092
SciMark benchmark
941.2906