DEVELOPMENT... OpenML
Run
38757

Run 38757

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.9128
Per class
Build CPU time
11.3665
Build memory
40355130.4
F measure
0.8794
Per class
Kappa
0.7536
KB relative information score
375.1296
Mean absolute error
0.1219
Mean prior absolute error
0.4913
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8806
Per class
Predictive accuracy
0.88
Prior entropy
0.9875
Recall
0.88
Per class
Relative absolute error
0.2481
Root mean prior squared error
0.4956
Root mean squared error
0.3448
Root relative squared error
0.6957
SciMark benchmark
941.4198