DEVELOPMENT... OpenML
Run
38075

Run 38075

Task 4303 (Supervised Classification) fri_c0_250_50 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
0.8662
Per class
Build CPU time
1.2154
Build memory
853263825.52
F measure
0.8092
Per class
Kappa
0.6169
KB relative information score
1524.7636
Mean absolute error
0.1943
Mean prior absolute error
0.498
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8092
Per class
Predictive accuracy
0.8092
Prior entropy
0.9971
Recall
0.8092
Per class
Relative absolute error
0.3902
Root mean prior squared error
0.499
Root mean squared error
0.4271
Root relative squared error
0.856
SciMark benchmark
938.0657