Run
116609

Run 116609

Task 3614 (Supervised Classification) analcatdata_wildcat Uploaded 09-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7355
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.7546
Cross-validation details (10-fold Crossvalidation)
Build memory
1029174219.7301
Cross-validation details (10-fold Crossvalidation)
F measure
0.769
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4288
Cross-validation details (10-fold Crossvalidation)
KB relative information score
66.3026
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2256
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4115
Cross-validation details (10-fold Crossvalidation)
Number of instances
163
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.773
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8699
Cross-validation details (10-fold Crossvalidation)
Recall
0.773
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5483
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.453
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4689
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0352
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.9603