Run
116483

Run 116483

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.8006
Per class
Cross-validation details (33% Holdout set)
Build CPU time
5.949
Cross-validation details (33% Holdout set)
Build memory
515244240
Cross-validation details (33% Holdout set)
F measure
0.7787
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4828
Cross-validation details (33% Holdout set)
KB relative information score
8.3355
Cross-validation details (33% Holdout set)
Mean absolute error
0.1053
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
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
0.7987
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7917
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.7917
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4682
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3228
Cross-validation details (33% Holdout set)
Root relative squared error
1.0431
Cross-validation details (33% Holdout set)
SciMark benchmark
924.2473