DEVELOPMENT... OpenML
Run
37411

Run 37411

Task 3672 (Supervised Classification) kin8nm 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
0.864
Per class
Build CPU time
8.8773
Build memory
62555748.8701
F measure
0.7728
Per class
Kappa
0.5459
KB relative information score
4445.0326
Mean absolute error
0.2294
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7735
Per class
Predictive accuracy
0.7728
Prior entropy
0.9998
Recall
0.7728
Per class
Relative absolute error
0.459
Root mean prior squared error
0.4999
Root mean squared error
0.4414
Root relative squared error
0.883
SciMark benchmark
946.7854