DEVELOPMENT... OpenML
Run
44477

Run 44477

Task 4464 (Supervised Classification) fri_c3_500_25 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
0.9149
Per class
Build CPU time
9.7544
Build memory
172997177.84
F measure
0.8966
Per class
Kappa
0.79
KB relative information score
3945.1025
Mean absolute error
0.1033
Mean prior absolute error
0.4928
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8965
Per class
Predictive accuracy
0.8966
Prior entropy
0.9897
Recall
0.8966
Per class
Relative absolute error
0.2095
Root mean prior squared error
0.4964
Root mean squared error
0.3181
Root relative squared error
0.6408
SciMark benchmark
946.2416