DEVELOPMENT... OpenML
Run
40223

Run 40223

Task 3610 (Supervised Classification) fri_c3_250_5 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)_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
0.9114
Per class
Build CPU time
0.4901
Build memory
1216784949.6
F measure
0.8879
Per class
Kappa
0.7718
KB relative information score
192.6966
Mean absolute error
0.1118
Mean prior absolute error
0.4919
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
0.8879
Per class
Predictive accuracy
0.888
Prior entropy
0.9883
Recall
0.888
Per class
Relative absolute error
0.2273
Root mean prior squared error
0.4959
Root mean squared error
0.3339
Root relative squared error
0.6733
SciMark benchmark
944.0892