DEVELOPMENT... OpenML
Run
39031

Run 39031

Task 4411 (Supervised Classification) stock 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)_I40
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
0.9788
Per class
Build CPU time
1.3601
Build memory
125719770.56
F measure
0.9655
Per class
Kappa
0.9309
KB relative information score
8842.8234
Mean absolute error
0.0346
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
0.9655
Per class
Predictive accuracy
0.9655
Prior entropy
0.9995
Recall
0.9655
Per class
Relative absolute error
0.0692
Root mean prior squared error
0.4998
Root mean squared error
0.1825
Root relative squared error
0.3651
SciMark benchmark
941.2105

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