DEVELOPMENT... OpenML
Run
37962

Run 37962

Task 4530 (Supervised Classification) mfeat-morphological 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)_I20
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
0.9976
Per class
Build CPU time
0.2197
Build memory
1145773427.04
F measure
0.9975
Per class
Kappa
0.9861
KB relative information score
19426.1119
Mean absolute error
0.0037
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
0.9975
Per class
Predictive accuracy
0.9975
Prior entropy
0.4703
Recall
0.9975
Per class
Relative absolute error
0.0207
Root mean prior squared error
0.3
Root mean squared error
0.049
Root relative squared error
0.1635
SciMark benchmark
939.9671