DEVELOPMENT... OpenML
Run
39661

Run 39661

Task 4300 (Supervised Classification) visualizing_slope 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
0.934
Per class
Build CPU time
0.0022
Build memory
574082139.8182
F measure
0.8907
Per class
Kappa
0.7689
KB relative information score
287.0336
Mean absolute error
0.1761
Mean prior absolute error
0.4753
Number of instances
440
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8906
Per class
Predictive accuracy
0.8909
Prior entropy
0.9656
Recall
0.8909
Per class
Relative absolute error
0.3705
Root mean prior squared error
0.4869
Root mean squared error
0.3008
Root relative squared error
0.6178
SciMark benchmark
909.9339