Run
118567

Run 118567

Task 3043 (Supervised Classification) sick Uploaded 10-12-2014 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)_I10
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
0.9975
Per class
Cross-validation details (33% Holdout set)
Build CPU time
5.654
Cross-validation details (33% Holdout set)
Build memory
582756152
Cross-validation details (33% Holdout set)
F measure
0.9858
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8802
Cross-validation details (33% Holdout set)
KB relative information score
1109.0955
Cross-validation details (33% Holdout set)
Mean absolute error
0.0141
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1193
Cross-validation details (33% Holdout set)
Number of instances
1244
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
0.9862
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9863
Cross-validation details (33% Holdout set)
Prior entropy
0.3333
Cross-validation details (33% Holdout set)
Recall
0.9863
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1178
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2482
Cross-validation details (33% Holdout set)
Root mean squared error
0.1059
Cross-validation details (33% Holdout set)
Root relative squared error
0.4267
Cross-validation details (33% Holdout set)
SciMark benchmark
945.0532