Run
38325

Run 38325

Task 3053 (Supervised Classification) monks-problems-1 Uploaded 28-10-2014 by Joaquin Vanschoren
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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
1
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.053
Cross-validation details (33% Holdout set)
Build memory
554789936
Cross-validation details (33% Holdout set)
F measure
0.9781
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9562
Cross-validation details (33% Holdout set)
KB relative information score
176.1384
Cross-validation details (33% Holdout set)
Mean absolute error
0.0189
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.5
Cross-validation details (33% Holdout set)
Number of instances
183
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.979
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9781
Cross-validation details (33% Holdout set)
Prior entropy
1
Cross-validation details (33% Holdout set)
Recall
0.9781
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0379
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5
Cross-validation details (33% Holdout set)
Root mean squared error
0.106
Cross-validation details (33% Holdout set)
Root relative squared error
0.212
Cross-validation details (33% Holdout set)
SciMark benchmark
943.1654