DEVELOPMENT... OpenML
Run
41270

Run 41270

Task 4590 (Supervised Classification) mfeat-pixel 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)_I80
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
0.986
Per class
Build CPU time
30.7674
Build memory
1529532738.16
F measure
0.9951
Per class
Kappa
0.9729
KB relative information score
19219.5351
Mean absolute error
0.0049
Mean prior absolute error
0.1803
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9951
Per class
Predictive accuracy
0.9952
Prior entropy
0.4703
Recall
0.9952
Per class
Relative absolute error
0.0273
Root mean prior squared error
0.3
Root mean squared error
0.0693
Root relative squared error
0.2309
SciMark benchmark
941.9633