DEVELOPMENT... OpenML
Run
35594

Run 35594

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)_I10
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
0.9855
Per class
Build CPU time
0.3618
Build memory
571788825.12
F measure
0.9577
Per class
Kappa
0.9153
KB relative information score
8687.9519
Mean absolute error
0.0428
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
0.9577
Per class
Predictive accuracy
0.9577
Prior entropy
0.9995
Recall
0.9577
Per class
Relative absolute error
0.0856
Root mean prior squared error
0.4998
Root mean squared error
0.1979
Root relative squared error
0.396
SciMark benchmark
941.5665

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