DEVELOPMENT... OpenML
Run
39821

Run 39821

Task 4581 (Supervised Classification) analcatdata_challenger 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
0.542
Per class
Build CPU time
0.0454
Build memory
913352894.1101
F measure
0.9018
Per class
Kappa
-0.0056
KB relative information score
289.8811
Mean absolute error
0.0681
Mean prior absolute error
0.1273
Number of instances
1380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8736
Per class
Predictive accuracy
0.9319
Prior entropy
0.3712
Recall
0.9319
Per class
Relative absolute error
0.535
Root mean prior squared error
0.247
Root mean squared error
0.258
Root relative squared error
1.0447
SciMark benchmark
945.0342