Run
38730

Run 38730

Task 279 (Supervised Classification) tic-tac-toe 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)_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
0.991
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.218
Cross-validation details (33% Holdout set)
Build memory
1607871736
Cross-validation details (33% Holdout set)
F measure
0.9841
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9664
Cross-validation details (33% Holdout set)
KB relative information score
312.2075
Cross-validation details (33% Holdout set)
Mean absolute error
0.022
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4641
Cross-validation details (33% Holdout set)
Number of instances
316
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
0.9843
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9842
Cross-validation details (33% Holdout set)
Prior entropy
0.9312
Cross-validation details (33% Holdout set)
Recall
0.9842
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0473
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4874
Cross-validation details (33% Holdout set)
Root mean squared error
0.1291
Cross-validation details (33% Holdout set)
Root relative squared error
0.2648
Cross-validation details (33% Holdout set)
SciMark benchmark
942.9632