DEVELOPMENT... OpenML
Run
44279

Run 44279

Task 4411 (Supervised Classification) stock 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
0.9699
Per class
Build CPU time
5.6743
Build memory
1401740390.96
F measure
0.9654
Per class
Kappa
0.9307
KB relative information score
8843.276
Mean absolute error
0.0345
Mean prior absolute error
0.4996
Number of instances
9500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9654
Per class
Predictive accuracy
0.9654
Prior entropy
0.9995
Recall
0.9654
Per class
Relative absolute error
0.0691
Root mean prior squared error
0.4998
Root mean squared error
0.185
Root relative squared error
0.3701
SciMark benchmark
941.2906