DEVELOPMENT... OpenML
Run
118931

Run 118931

Task 3923 (Supervised Classification) datatrieve Uploaded 10-12-2014 by Felicia West
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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
0.6138
Per class
Build CPU time
0.071
Build memory
509101733.6
F measure
0.8713
Per class
Kappa
0.1341
KB relative information score
-8.563
Mean absolute error
0.1241
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8661
Per class
Predictive accuracy
0.8769
Prior entropy
0.4395
Recall
0.8769
Per class
Relative absolute error
0.7747
Root mean prior squared error
0.2784
Root mean squared error
0.3464
Root relative squared error
1.2443
SciMark benchmark
942.3919