DEVELOPMENT... OpenML
Run
44325

Run 44325

Task 3658 (Supervised Classification) fri_c3_250_10 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)_I160
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
0.9275
Per class
Build CPU time
1.866
Build memory
971430094.4
F measure
0.9159
Per class
Kappa
0.8306
KB relative information score
207.7979
Mean absolute error
0.0835
Mean prior absolute error
0.4968
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
0.9161
Per class
Predictive accuracy
0.916
Prior entropy
0.9955
Recall
0.916
Per class
Relative absolute error
0.168
Root mean prior squared error
0.4984
Root mean squared error
0.288
Root relative squared error
0.5778
SciMark benchmark
946.1004