DEVELOPMENT... OpenML
Run
44322

Run 44322

Task 3913 (Supervised Classification) kc2 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
0.7457
Per class
Build CPU time
7.1126
Build memory
1365482440.8582
F measure
0.8238
Per class
Kappa
0.4314
KB relative information score
211.2837
Mean absolute error
0.1653
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8213
Per class
Predictive accuracy
0.8352
Prior entropy
0.734
Recall
0.8352
Per class
Relative absolute error
0.506
Root mean prior squared error
0.4037
Root mean squared error
0.3974
Root relative squared error
0.9843
SciMark benchmark
945.0342

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